Debug Quotes

We've searched our database for all the quotes and captions related to Debug. Here they are! All 102 of them:

Everyone knows that debugging is twice as hard as writing a program in the first place. So if you're as clever as you can be when you write it, how will you ever debug it?
Brian W. Kernighan
Iko held up a hand. "You need a system debug if you're suggesting that I would abandon you know.
Marissa Meyer (Winter (The Lunar Chronicles, #4))
If you're good at the debugger it means you spent a lot of time debugging. I don't want you to be good at the debugger.
Robert C. Martin
If debugging is the process of removing software bugs, then programming must be the process of putting them in.
Edsger W. Dijkstra
Programmers are not to be measured by their ingenuity and their logic but by the completeness of their case analysis.
Alan J. Perlis
What kind of programmer is so divorced from reality that she thinks she'll get complex software right the first time?
James Alan Gardner (Ascending (League of Peoples, #5))
Sometimes it pays to stay in bed on Monday, rather than spending the rest of the week debugging Monday's code.
Dan Salomon
Other people - store clerks, burger flippers, software engineers, the whole vocabulary of meaningless jobs that make up Life in America - other people just rely on plain old competition. Better flip your burgers or debug your subroutines faster than your high school classmate two blocks down the strip is flipping or debugging, because we're in competition with those guys, and people notice these things. What a fucking rat race that is.
Neal Stephenson (Snow Crash)
Debugging: what an odd word. As if "bugging" were the job of putting in bugs, and debugging the task of removing them. But no. The job of putting in bugs is called programming. A programmer writes some code and inevitably makes the mistakes that result in the malfunctions called bugs. Then, for some period of time, normally longer than the time it takes to design and write the code in the first place, the programmer tries to remove the mistakes.
Ellen Ullman (The Bug)
You’re not a detective, dear. You’re a mechanic.” “It’s debugging, Bob, like I do every day. Start with what’s wrong, and go backward until you find the cause.” “You’re
Elizabeth Bonesteel (The Cold Between (Central Corps, #1))
Fixing bugs is not making progress. You aren't paid to debug. Debugging is waste.
Kevlin Henney (97 Things Every Programmer Should Know: Collective Wisdom from the Experts)
Debugging tip: For server applications, be sure to always specify the -server JVM command line switch when invoking the JVM, even for development and testing. The server JVM performs more optimization than the client JVM, such as hoisting variables out of a loop that are not modified in the loop; code that might appear to work in the development environment (client JVM) can break in the deployment environment (server JVM).
Brian Goetz (Java Concurrency in Practice)
And I was just there, less than an hour ago, debugging subroutines in my cubicle, when a motherfucking Earth Defense Alliance shuttle suddenly shows up and lands right outside my office building! I figured I must be losing it. Now I’m not sure what to think.
Ernest Cline (Armada)
But in a pinch, he was a capable coder too. He just wasn’t especially fast. So when he was finally done coding and debugging his program and ran a successful test, it was past eleven on Tuesday night. He hadn’t slept but for a few hours on Sunday night, and the lack of sleep had cooked him.
Matthew FitzSimmons (The Short Drop (Gibson Vaughn, #1))
Gordy,” I said. “I need to talk to you." "I don't have time," he said. "Mr. Orcutt and I have to debug some PCs. Don't you hate PCs? They are sickly and fragile and vulnerable to viruses. PCs are like French people living during the bubonic plague." Wow, and people thought I was a freak. "I much prefer Macs, don't you?" he asked. "They're so poetic.
Sherman Alexie (The Absolutely True Diary of a Part-Time Indian)
That’s the nature of culture. It’s not a single decision—it’s a code that manifests itself as a vast set of actions taken over time. No one person makes or takes all these actions. Cultural design is a way to program the actions of an organization, but, like computer programs, every culture has bugs. And cultures are significantly more difficult to debug than programs.
Ben Horowitz (What You Do Is Who You Are: How to Create Your Business Culture)
To paraphrase an old joke among programmers, “Writing code accounts for 90 percent of programming. Debugging code accounts for the other 90 percent.” Your computer will do only what you tell it to do; it won’t read your mind and do what you intended it to do. Even professional programmers create bugs all the time, so don’t feel discouraged if your program has a problem.
Albert Sweigart (Automate the Boring Stuff with Python: Practical Programming for Total Beginners)
The label “jack-of-all-trades but master of none” is normally meant to be derogatory, implying that the labelee lacks the focus to really dive into a subject and master it. But, when your online shopping application is on the fritz and you’re losing orders by the hundreds as each hour passes, it’s the jack-of-all-trades who not only knows how the application’s code works but can also do low-level UNIX debugging of your web server processes, analyze your RDBMS’s configuration for potential performance bottlenecks, and check your network’s router configuration for hard-to-find problems. And, more important, after finding the problem, the jack-of-all-trades can quickly make architecture and design decisions, implement code fixes, and deploy a new fixed system to production. In this scenario, the manufacturing scenario seems quaint at best and critically flawed at worst.
Chad Fowler (The Passionate Programmer: Creating a Remarkable Career in Software Development (Pragmatic Life))
It is the one who accepts commitment who is strong. The true commitment is the artistic one. This is why artists are so often attacked. They are attacked for their morals, for their ideas – even for their work. Yet their essence – their commitment – is the secret which is unassailable. The true artist knows that creativity is its own reward. Ordinary people fear commitment, you see. Ordinary people fear creativity. They know that if they allow that seething cauldron of yellow liquid to boil over within themselves, then their whole lives will be changed. People fear change. People do not wish to be creative and artistic in any real sense. They wish to decorate, perhaps, and to make things around themselves pleasant – but this has little to do with creativity. … All spiritual paths should be creative. Creativity is involved with sacrifice. That stew of yellow liquid which boils in everyone is a sacrificial broth …
Laura Knight-Jadczyk (Debugging the Universe: The Hero's Journey (The Wave))
By contrast, the early majority want to buy a productivity improvement for existing operations. They are looking to minimize the discontinuity with the old ways. They want evolution, not revolution. They want technology to enhance, not overthrow, the established ways of doing business. And above all, they do not want to debug somebody else’s product. By the time they adopt it, they want it to work properly and to integrate appropriately with their existing technology base.
Geoffrey A. Moore (Crossing the Chasm: Marketing and Selling Disruptive Products to Mainstream Customers)
More generally, a data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human. She spends a lot of time in the process of collecting, cleaning, and munging data, because data is never clean. This process requires persistence, statistics, and software engineering skills — skills that are also necessary for understanding biases in the data, and for debugging logging output from code. Once she gets the data into shape, a crucial part is exploratory data analysis, which combines visualization and data sense. She’ll find patterns, build models, and algorithms — some with the intention of understanding product usage and the overall health of the product, and others to serve as prototypes that ultimately get baked back into the product. She may design experiments, and she is a critical part of data-driven decision making. She’ll communicate with team members, engineers, and leadership in clear language and with data visualizations so that even if her colleagues are not immersed in the data themselves, they will understand the implications.
Rachel Schutt (Doing Data Science: Straight Talk from the Frontline)
Take for example job applications. In the 21st century the decision wherever to hire somebody for a job while increasingly be made by algorithms. We cannot rely on the machines to set the relevant ethical standards, humans will still need to do that, but once we decide on an ethical standard in the job market, that it is wrong to discriminate against blacks or against women for example, we can rely on machines to implement and maintain these standards better than humans. A human manager may know and even agree that is unethical to discriminate against blacks and women but then when a black woman applies for a job the manager subconsciously discriminate against her and decides not to hire her. If we allow a computer to evaluate job applications and program computers to completely ignore race and gender we can be certain that the computer will indeed ignore these factors because computers do not have a subconscious. Of course it won't be easy to write code for evaluating job applications and there is always the danger that the engineers will somehow program their own subconscious biases into the software, yet once we discover such mistakes it would probably be far easier to debug the software than to get rid humans of their racist and misogynist biases.
Yuval Noah Harari (21 Lessons for the 21st Century)
Pham Nuwen spent years learning to program/explore. Programming went back to the beginning of time. It was a little like the midden out back of his father’s castle. Where the creek had worn that away, ten meters down, there were the crumpled hulks of machines—flying machines, the peasants said—from the great days of Canberra’s original colonial era. But the castle midden was clean and fresh compared to what lay within the Reprise’s local net. There were programs here that had been written five thousand years ago, before Humankind ever left Earth. The wonder of it—the horror of it, Sura said—was that unlike the useless wrecks of Canberra’s past, these programs still worked! And via a million million circuitous threads of inheritance, many of the oldest programs still ran in the bowels of the Qeng Ho system. Take the Traders’ method of timekeeping. The frame corrections were incredibly complex—and down at the very bottom of it was a little program that ran a counter. Second by second, the Qeng Ho counted from the instant that a human had first set foot on Old Earth’s moon. But if you looked at it still more closely. . .the starting instant was actually some hundred million seconds later, the 0-second of one of Humankind’s first computer operating systems. So behind all the top-level interfaces was layer under layer of support. Some of that software had been designed for wildly different situations. Every so often, the inconsistencies caused fatal accidents. Despite the romance of spaceflight, the most common accidents were simply caused by ancient, misused programs finally getting their revenge. “We should rewrite it all,” said Pham. “It’s been done,” said Sura, not looking up. She was preparing to go off-Watch, and had spent the last four days trying to root a problem out of the coldsleep automation. “It’s been tried,” corrected Bret, just back from the freezers. “But even the top levels of fleet system code are enormous. You and a thousand of your friends would have to work for a century or so to reproduce it.” Trinli grinned evilly. “And guess what—even if you did, by the time you finished, you’d have your own set of inconsistencies. And you still wouldn’t be consistent with all the applications that might be needed now and then.” Sura gave up on her debugging for the moment. “The word for all this is ‘mature programming environment.’ Basically, when hardware performance has been pushed to its final limit, and programmers have had several centuries to code, you reach a point where there is far more signicant code than can be rationalized. The best you can do is understand the overall layering, and know how to search for the oddball tool that may come in handy—take the situation I have here.” She waved at the dependency chart she had been working on. “We are low on working fluid for the coffins. Like a million other things, there was none for sale on dear old Canberra. Well, the obvious thing is to move the coffins near the aft hull, and cool by direct radiation. We don’t have the proper equipment to support this—so lately, I’ve been doing my share of archeology. It seems that five hundred years ago, a similar thing happened after an in-system war at Torma. They hacked together a temperature maintenance package that is precisely what we need.” “Almost precisely.
Vernor Vinge (A Deepness in the Sky (Zones of Thought, #2))
Well-designed computational systems, like well-designed automobiles or nuclear reactors, are designed in a modular manner, so that the parts can be constructed, replaced, and debugged separately.
because engineers are so creative, they like to make up new bugs, not use the same old ones.
David, J Agans (Debugging)
When you start to realize: you are something that is precious to me, "Debug" me as you like; and when you have understand "addressing byte" and "memory mapping" of my heart, then i'm implore, accept me as I am ...
In debugging, errors are seen not as false but as fixable. This is a state of mind that makes it easy to learn from .6 Multiple passes also brought a new feel for the complexity of design decisions.
Sherry Turkle (Simulation and Its Discontents)
So he’d reach into the drawer for the tape with the FLIT debugger and feed that into the computer. The computer would then be a debugging machine, and he’d send the program back in.
TFS has an option to publish all the PDB files from your builds to a shared location, which can then act as a Symbol Server for Visual Studio, enabling you to debug all previous versions of an application without having the source code around.
minimum software requirements to program in C is a text editor, as opposed to a word processor. A plain text Notepad Editor can be used but it does not offer any advanced capabilities such as code completion or debugging.
Wiki Books (C Programming)
Fear of failure is one of the most common traits of bad managers.
Brian W. Fitzpatrick (Debugging Teams: Better Productivity through Collaboration)
I often said I wouldn't have pursued programming as a career if I still did drugs. This is probably true, since weed was always immensely crippling for me. I would have weed hangovers for days, and while stoned, was unable to read or do much of anything besides clean and play video games. Whether or not this would have turned out to be true is academic, but it's definitely true that I wouldn't have become a programmer if I hadn't lost my mind, because the recovery process taught me my most valuable skill as a programmer: how to not think. Programming requires the acceptance that you are entering meaningless symbols into a machine that's going to spit out other meaningless symbols, and this can be hard to accept. It requires abandoning all hope for an answer for the existential "why?" in favour of shuffling boolean values ad infinitum. By no interpretation of the concept of understanding does a computer understand what you're telling it or what it's telling you. On top of that, programming as an act is more often hindered than helped by thinking. Despite zero years of training in computer science, I've found I have an edge in debugging because I never look or ask for an explanation. Ninety percent of the computer bugs in a program are tiny, one-line errors, and you just have to find that error. Holding the entire logical structure of a million lines of code in your mind in futile. The task is to find the references and connections and track them back until you hit the problem. If I get an error message, I copy it into Google, because someone somewhere has encountered and solved the problem, probably by tracking down the people who originally wrote the program. In seven years of programming, I've solved exactly two undocumented bugs via pure deductive reasoning.
Peter Welch
When put on the spot, most people won’t say much about this, but there are usually a few things that everyone would like to do in the next five years: get promoted, learn something new, launch something important, and work with smart people.
Brian W. Fitzpatrick (Debugging Teams: Better Productivity through Collaboration)
This is, in fact, exactly how electrical engineers go about understanding and debugging circuits such as computer boards (to reverse engineer a competitor’s product, for example), using logic analyzers that visualize computer signals. Neuroscience has not yet had access to sensor technology that would achieve this type of analysis, but that situation is about to change. Our tools for peering into our brains are improving at an exponential pace. The resolution of noninvasive brain-scanning devices is doubling about every twelve months (per unit volume).31 We see comparable improvements in the speed of brain scanning image reconstruction:
Ray Kurzweil (The Singularity is Near: When Humans Transcend Biology)
At Google, one of our favorite mottoes is “Failure is an option.” It’s widely recognized that if you’re not failing now and then, you’re not being innovative enough or taking enough risks.
Brian W. Fitzpatrick (Debugging Teams: Better Productivity through Collaboration)
Traditional managers worry about how to get things done, while leaders worry about what things get done…(and trust their team to figure out how to do it).
Brian W. Fitzpatrick (Debugging Teams: Better Productivity through Collaboration)
Fitz treated Jerry like an adult, Jerry always got his work done, and Fitz never had to worry about Jerry being at his desk, because Jerry didn’t need a babysitter.
Brian W. Fitzpatrick (Debugging Teams: Better Productivity through Collaboration)
Location, Location, Location Hit F3 to open the debug menu to see your coordinates of where you are.
Mojang Books (100 BEST Minecraft Secrets you never knew about: (Official Minecraft Guide))
On a scale of one to ten, how strong is the emotion attached to the memories we’ve been working on?” Curtis Rouanzoin asks one day. The procedure I’ve been going through with him is called EMDR, or eye movement desensitization and reprocessing, which looks at the way trauma is stored in the brain and attempts to properly process it. “If it used to be a ten, now it’s an eight,” I tell him. Lindsay Joy Greene is trained in a therapy called SE, or somatic experiencing, and she’s been locating trauma trapped not in my brain, but in my body, and releasing the stored energy. One day she asks, “On a scale of one to ten, how much anger do you feel when you recall the memories we’ve been discussing?” “If it used to be an eight, now it’s a seven,” I tell her. Olga Stevko practices her own variant of NLP, or neuro-linguistic programming. Where the experientials with Lorraine were about debugging my operating system, her process is about rewriting the original code. For example, she tells me that inside my mother’s words, “Never grow up to make anyone as miserable as your father makes me,” was a hidden command: Never grow up. As she helps me grow up, it brings my trauma down to a six. Greg Cason specializes in cognitive behavioral therapy, which takes it to a five. And I don’t know what to call Barbara McNally’s method and her bottomless quiver of techniques, but they work, they’re original, and they bring the emotion associated with those memories to a four. And I do so much more: I beat pillows with baseball bats. I tap on energy meridians. I make shadow maps of my dark side. I try psychodrama. Not all of it works, but none of it hurts.
Neil Strauss (The Truth: An Uncomfortable Book about Relationships)
Well done, Mica,” Phoenix congratulated him. “You’ve just earned your baby-jiggling badge. Be sure to unlock all the infant services badges.
Ronel van Tonder (Debug: Heroes (The Corrupted SUN Script, Book #2))
The Fusion log This is a very useful tool for debugging failed attempts by the CLR to bind to an assembly at run time. Rather than trying to step through the application in the Visual Studio debugger, it is better to turn Fusion on and read the log file that results. To enable Fusion you must edit the Windows registry, as shown in the following code.HKLM\Software\Microsoft\Fusion\ForceLog 1 HKLM\Software\Microsoft\Fusion\LogPath C:\FusionLogs
For example, instead of crashing your program right when an exception occurs, you can write the traceback information to a log file and keep your program running. You can look at the log file later, when you’re ready to debug your program.
Albert Sweigart (Automate the Boring Stuff with Python: Practical Programming for Total Beginners)
You can easily create several new threads and have them all running at the same time. But multiple threads can also cause problems called concurrency issues. These issues happen when threads read and write variables at the same time, causing the threads to trip over each other. Concurrency issues can be hard to reproduce consistently, making them hard to debug.
Albert Sweigart (Automate the Boring Stuff with Python: Practical Programming for Total Beginners)
To avoid concurrency issues, never let multiple threads read or write the same variables. When you create a new Thread object, make sure its target function uses only local variables in that function. This will avoid hard-to-debug concurrency issues in your programs.
Albert Sweigart (Automate the Boring Stuff with Python: Practical Programming for Total Beginners)
It may be no coincidence that the world’s richest man is a computer programmer. Programmers have “theories” about how software will behave when they change a line of code. Those theories rarely hold up to their first encounter with reality. Unsuccessful programmers could probably wax eloquent about how things should be different. Successful programmers just debug their code. Such a profession would quickly wean a person from idealistic notions about how to make a change. Successful programmers soon learn that it is more profitable to challenge their own thinking than to curse their computers when faced with unexpected results.
Ron Davison (The Fourth Economy: Inventing Western Civilization)
During production, your users need a chance to save their work before the program crashes and they are probably willing to tolerate a few anomalies in exchange for keeping the program going long enough for them to do that. Users don't appreciate anything that results in the loss of their work, regardless of how much it helps debugging and ultimately improves the quality of the program. If your program contains debugging code that could cause a loss of data, take it out of the production version.
Steve McConnell (Code Complete)
Call an error-processing routine/object. Another approach is to centralize error handling in a global error-handling routine or error-handling object. The advantage of this approach is that error-processing responsibility can be centralized, which can make debugging easier. The tradeoff is that the whole program will know about this central capability and will be coupled to it. If you ever want to reuse any of the code from the system in another system, you'll have to drag the error-handling machinery along with the code you reuse.
Steve McConnell (Code Complete)
After the debacle of the party, debugging the code running in his own brain was bliss. His body lay safely in his bed. His mind exulted inside the Nexus development environment, tracing the events that had led to the fault. Here he was in his element.
Ramez Naam (Nexus (Nexus, #1))
Tools A wire cutter (Jameco #35482, Bitsbox #TL008) to cut small pieces of wire. A multimeter (Jameco #2206061, Bitsbox #TL057, Rapid Electronics #55-6662) to debug your circuit if it’s not working correctly.
Oyvind Nydal Dahl (Electronics for Kids: Play with Simple Circuits and Experiment with Electricity!)
17. The Secret Biome On the main menu, if you hold down shift while looking at other world options you will get the option to go on Debug mode. Click it and see Minecraft in a whole new way.
Herobrine Books (Minecraft Ultimate Secrets: New Awesome Minecraft Secrets, Tips, Tricks, and Hints That You May Not Know - (An Unofficial Minecraft Guide))
CHECKING CONNECTIONS AS A TEAM Finding circuit problems is called debugging, and it’s easier to do with some help. When you get stuck, ask someone else to look at the circuit diagram and say the connections out loud one by one while you check the real connections. For example, if your friend is reading the schematic and you’re looking at the breadboard, you might have a conversation like this: Friend: “The positive side of the battery is connected to one side of R1.” You: “Got it!” Friend: “The positive side of the battery is also connected to pins 4 and 8 of the IC.” You: “Got it!” Friend: “The other side of R1 is connected to pin 7 of the chip and to one side of the resistor R2.” You: “Oh, wait! I don’t have the connection to pin 7!” And just like that, you’ll discover the problem.
Oyvind Nydal Dahl (Electronics for Kids: Play with Simple Circuits and Experiment with Electricity!)
The rest of us lined up for debugging and muumuus.
Rachel Kushner (The Mars Room)
It is surprising how little page space is devoted to bugs and debugging in most introductory programming textbooks.
Greg Wilson (Teaching Tech Together)
Debugging itself is a sensitive, emotional subject for many developers. Instead of attacking it as a puzzle to be solved, you may encounter denial, finger pointing, lame excuses, or just plain apathy.
Andrew Hunt (The Pragmatic Programmer: From Journeyman to Master)
They spent a week or two testing the circuit together for a few hours each day. Debugging a complex electronic device being almost as powerful a bonding experience as, say, serving on a submarine in wartime, Metcalfe learned a lot about his partner: That he was a digital whiz, accomplished at wielding the oscilloscope, and, most interesting, underemployed in his POLOS work.
Michael A. Hiltzik (Dealers of Lightning: Xerox PARC and the Dawn of the Computer Age)
Cultural, religious and emotional manipulations are powerful tactics used by the manipulators to maintain psychological control. Most need to unlearn and debug but I was born a wild beast with a mind of my own, whoever tried to tame me only got burnt instead.
Et Imperatrix Noctem
But there was no real-time debugging. When the system crashed, basically the run light went out and that was it. You had control-panel switches where you could read and write memory. The only way to debug the system was to say, “What was the system doing when it crashed?” You don't get to run a program; you get to look at the table that kept track of what it was doing. So I got to look at memory, keeping track on pieces of graph paper what it was doing. And I got better at that. In retrospect, I got scarily better at that. So they had me have a pager. This was back in the era when pagers were sort of cool and only doctors had them. It was a big, clunky thing and all it would do is beep. No two-way. No messages. And it only worked in the Boston area, because its transmitter was on top of the Prudential Center. But if I was within 50 miles of Boston, it worked. And basically, I was a trained little robot: when my pager went beep, beep, beep, I called in to find out what the problem was. What was bizarre was that with no paper, in a parking lot, on a pay phone I could have them examining octal locations, changing octal locations and then I would say, “OK, put this address in and hit run,” and the system would come back up. I don't know how the hell I managed to do that. But I could do those kinds of things. I took care of the time-sharing system for probably a good two or three years.
Peter Seibel (Coders at Work: Reflections on the Craft of Programming)
On the main menu, if you hold down shift while looking at other world options you will get the option to go on Debug mode. Click it and see Minecraft in a whole new way.
Herobrine Books (Minecraft Ultimate Secrets: New Awesome Minecraft Secrets, Tips, Tricks, and Hints That You May Not Know - (An Unofficial Minecraft Guide))
You’re a grown-up, these days. You don’t wear a kamikaze pilot’s rising sun headband and a tee-shirt that screams DEBUG THIS! and you don’t spend your weekends competing in extreme programming slams at a windy campsite near Frankfurt, but it’s generally difficult for you to use any machine that doesn’t have at least one compiler installed: In fact, you had to stick Python on your phone before you even opened its address book because not being able to brainwash it left you feeling handicapped, like you were a passenger instead of a pilot. In another age you would have been a railway mechanic or a grease monkey crawling over the spark plugs of a DC-3. This is what you are, and the sad fact is, they can put the code monkey in a suit but they can’t take the code out of the monkey.
Charles Stross (Halting State (Halting State, #1))
For software developers who take their work seriously, Knuth is the consummate craftsman. Here’s what he has to say about optimization: Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered. We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil.2 (Emphasis added.)
Ken Kocienda (Creative Selection: Inside Apple's Design Process During the Golden Age of Steve Jobs)
From then on, whenever Aiken put his head through the door and asked if they were making numbers, if they were not, they would tell him they were debugging the computer, a term and a procedure they may have been the first to institutionalize.
Kathleen Broome Williams (Grace Hopper: Admiral of the Cyber Sea (Library of Naval Biography))
Systems Test No parts of the schedule are so thoroughly affected by sequential constraints as component debugging and system test. Furthermore, the time required depends on the number and subtlety of the errors encountered. Theoretically this number should be zero. Because of optimism, we usually expect the number of bugs to be smaller than it turns out to be. Therefore testing is usually the most mis-scheduled part of programming. For some years I have been successfully using the following rule of thumb for scheduling a software task: l /3 planning l/6 coding l/4 component test and early system test l/4 system test, all components in hand.
Debugging itu adalah sebuah metode yang dilakukan oleh para programmer untuk mencari jarum di tumpukan jerami
Harly Umboh
If you’re working on long-running scientific problems where each job takes many seconds (or longer) to run, then you might want to review Gael Varoquaux’s joblib. This tool supports lightweight pipelining; it sits on top of multiprocessing and offers an easier parallel interface, result caching, and debugging features.
Micha Gorelick (High Performance Python: Practical Performant Programming for Humans)
scripting language is a programming language that provides you with the ability to write scripts that are evaluated (or interpreted) by a runtime environment called a script engine (or an interpreter). A script is a sequence of characters that is written using the syntax of a scripting language and used as the source for a program executed by an interpreter. The interpreter parses the scripts, produces intermediate code, which is an internal representation of the program, and executes the intermediate code. The interpreter stores the variables used in a script in data structures called symbol tables. Typically, unlike in a compiled programming language, the source code (called a script) in a scripting language is not compiled but is interpreted at runtime. However, scripts written in some scripting languages may be compiled into Java bytecode that can be run by the JVM. Java 6 added scripting support to the Java platform that lets a Java application execute scripts written in scripting languages such as Rhino JavaScript, Groovy, Jython, JRuby, Nashorn JavaScript, and so on. Two-way communication is supported. It also lets scripts access Java objects created by the host application. The Java runtime and a scripting language runtime can communicate and make use of each other’s features. Support for scripting languages in Java comes through the Java Scripting API. All classes and interfaces in the Java Scripting API are in the javax.script package. Using a scripting language in a Java application provides several advantages: Most scripting languages are dynamically typed, which makes it simpler to write programs. They provide a quicker way to develop and test small applications. Customization by end users is possible. A scripting language may provide domain-specific features that are not available in Java. Scripting languages have some disadvantages as well. For example, dynamic typing is good to write simpler code; however, it turns into a disadvantage when a type is interpreted incorrectly and you have to spend a lot of time debugging it. Scripting support in Java lets you take advantage of both worlds: it allows you to use the Java programming language for developing statically typed, scalable, and high-performance parts of the application and use a scripting language that fits the domain-specific needs for other parts. I will use the term script engine frequently in this book. A script engine is a software component that executes programs written in a particular scripting language. Typically, but not necessarily, a script engine is an implementation of an interpreter for a scripting language. Interpreters for several scripting languages have been implemented in Java. They expose programming interfaces so a Java program may interact with them.
Kishori Sharan (Scripting in Java: Integrating with Groovy and JavaScript)
Use manual sanity checks in data pipelines. When optimizing data processing systems, it’s easy to stay in the “binary mindset” mode, using tight pipelines, efficient binary data formats, and compressed I/O. As the data passes through the system unseen, unchecked (except for perhaps its type), it remains invisible until something outright blows up. Then debugging commences. I advocate sprinkling a few simple log messages throughout the code, showing what the data looks like at various internal points of processing, as good practice — nothing fancy, just an analogy to the Unix head command, picking and visualizing a few data points. Not only does this help during the aforementioned debugging, but seeing the data in a human-readable format leads to “aha!” moments surprisingly often, even when all seems to be going well. Strange tokenization! They promised input would always be encoded in latin1! How did a document in this language get in there? Image files leaked into a pipeline that expects and parses text files! These are often insights that go way beyond those offered by automatic type checking or a fixed unit test, hinting at issues beyond component boundaries. Real-world data is messy. Catch early even things that wouldn’t necessarily lead to exceptions or glaring errors. Err on the side of too much verbosity.
Micha Gorelick (High Performance Python: Practical Performant Programming for Humans)
Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.
Brian Kernigan
A staggering $312 billion per year is spent on the wage bills for programmers debugging their software. To put that in perspective, that’s two times all Eurozone bailouts since 2008! This huge, but realistic, figure comes from research carried out by Cambridge University’s Judge Business School.[9] You have a responsibility to fix bugs faster: to save the global economy. The state of the world is in your hands.
Logging can also change the interaction of the threads and mask the problem. And non-optimised, “debug,” builds of your software can perform rather differently from the “release” builds. These are affectionately known as Heisenbugs, after the physicist Werner Heisenberg’s “observer effect” in quantum mechanics. The act of observing a system can alter its state.
Programming, and especially debugging, sometimes brings out strong emotions. If you are struggling with a difficult bug, you might feel angry, despondent or embarrassed. There is evidence that people naturally respond to computers as if they were people 2 . When they work well, we think of them as teammates, and when they are obstinate or rude, we respond to them the same way we respond to rude, obstinate people. Preparing for these reactions might help you deal with them. One approach is to think of the computer as an employee with certain strengths, like speed and precision, and particular weaknesses, like lack of empathy and inability to grasp the big picture
Fire Fighting Although helping users with their various problems is rarely included in a system administrator’s job description, it claims a significant portion of most administrators’ workdays. System administrators are bombarded with problems ranging from “It worked yesterday and now it doesn’t! What did you change?” to “I spilled coffee on my keyboard! Should I pour water on it to wash it out?” In most cases, your response to these issues affects your perceived value as an administrator far more than does any actual technical skill you might possess. You can either howl at the injustice of it all, or you can delight in the fact that a single well-handled trouble ticket scores as many brownie points as five hours of midnight debugging. You pick!
Evi Nemeth (Unix and Linux System Administration Handbook)
He’d been surprised to find that in at least one way he fit in: More than half the programmers at Goldman were Russians. Russians had a reputation for being the best programmers on Wall Street, and Serge thought he knew why: They had been forced to learn to program computers without the luxury of endless computer time. Many years later, when he had plenty of computer time, Serge still wrote out new programs on paper before typing them into the machine. “In Russia, time on the computer was measured in minutes,” he said. “When you write a program, you are given a tiny time slot to make it work. Consequently we learned to write the code in ways that minimized the amount of debugging. And so you had to think about it a lot before you committed it to paper. The ready availability of computer time creates this mode of working where you just have an idea and type it and maybe erase it ten times. Good Russian programmers, they tend to have had that one experience at some time in the past—the experience of limited access to computer time.
Michael Lewis (Flash Boys: A Wall Street Revolt)
Remember, though, that debugging is as much art as it is computer science [..]
Michael A. Vine (C Programming for the Absolute Beginner)
When you're debugging something and then you figure out that not only is the map wrong but the tools are broken—that's a good time.
Peter Seibel (Coders at Work)
If (as is generally accepted) over 75% of a typical software project’s life-cycle costs will be in maintenance and debugging and extensions, then the common price policy of charging a high fixed purchase price and relatively low or zero support fees is bound to lead to results that serve all parties poorly. Consumers lose because, even though software is a service industry, the incentives in the factory model all work against a vendor’s offering competent service. If the vendor’s money comes from selling bits, most effort will go into making bits and shoving them out the door; the help desk, not a profit center, will become a dumping ground for the least effective employees and get only enough resources to avoid actively alienating a critical number of customers.
Eric S. Raymond (Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary)
First, note that the example configures the same message level at the console and for terminal monitoring (level 7, or debug), and the same level for both buffered and logging to the syslog server (level 4, or warning). The levels may be set using the numeric severity level or the name as shown earlier in Figure 33-3. The show logging command confirms those same configuration settings and also lists the log messages per the logging buffered configuration.
Wendell Odom (CCENT/CCNA ICND1 100-105 Official Cert Guide)
I do not believe we will find the magic here. Program verification is a very powerful concept, and it will be very important for such things as secure operating system kernels. The technology does not promise, however, to save labor. Verifications are so much work that only a few substantial programs have ever been verified. Program verification does not mean error-proof programs. There is no magic here, either. Mathematical proofs also can be faulty. So whereas verification might reduce the program-testing load, it cannot eliminate it. More seriously, even perfect program verification can only establish that a program meets its specification. The hardest part of the software task is arriving at a complete and consistent specification, and much of the essence of building a program is in fact the debugging of the specification.
Frederick P. Brooks Jr. (The Mythical Man-Month: Essays on Software Engineering)
Plan to throw away all sound, art, and code created for a prototype. That way your artists, audio people, and programmers can work quickly without worrying about having to debug their content later. Trying to build production-quality assets during preproduction just slows the process down. Once
Ernest Adams (Fundamentals of Game Design (Game Design and Development Series))
Alpha: At this milestone, key gameplay functionality is implemented, assets are 40–50% final (the rest are placeholders), the game runs on the correct hardware platform in debug mode, and there is enough working to provide the team with a feel for the game. Features might undergo major adjustments at this point, based on play-testing results and other feedback. Alpha occurs 8 to 10 months before code release.
Heather Maxwell Chandler (The Game Production Handbook)
With the STATICFILES_STORAGE setting in place, our files will get a unique hash associated with them when DEBUG is set to False. Next
Julia Elman (Lightweight Django: Using REST, WebSockets, and Backbone)
Linux provides programmers with everything they need: libraries, compilers, and debugging/development tools. These features are included in all standard Linux versions.
Andrew Johansen (LINUX: The Ultimate Beginner's Guide!)
There’s a tradition among programmers to see mistakes not as a sign of failure but as “bugs” that can be fixed. An important part of becoming a programmer is to learn strategies for debugging—that is, how to identify and isolate a problem, then make changes to get around the problem.
Mitchel Resnick (Lifelong Kindergarten: Cultivating Creativity Through Projects, Passion, Peers, and Play)
But the interesting cases are those where the conflict remains obstinately in place however much we ponder the problem. These are the cases where we are tempted to conclude that "intuition cannot be trusted." In these situations we need to improve our intuition, to debug it, but the pressure on us is to abandon intuition and rely on equations instead.
Seymour Papert
Here are the benefits you can expect from using this style of pseudocode: Pseudocode makes reviews easier. You can review detailed designs without examining source code. Pseudocode makes low-level design reviews easier and reduces the need to review the code itself. Pseudocode supports the idea of iterative refinement. You start with a high-level design, refine the design to pseudocode, and then refine the pseudocode to source code. This successive refinement in small steps allows you to check your design as you drive it to lower levels of detail. The result is that you catch high-level errors at the highest level, mid-level errors at the middle level, and low-level errors at the lowest level—before any of them becomes a problem or contaminates work at more detailed levels. Pseudocode makes changes easier. A few lines of pseudocode are easier to change than a page of code. Would you rather change a line on a blueprint or rip out a wall and nail in the two-by-fours somewhere else? The effects aren't as physically dramatic in software, but the principle of changing the product when it's most malleable is the same. One of the keys to the success of a project is to catch errors at the "least-value stage," the stage at which the least effort has been invested. Much less has been invested at the pseudocode stage than after full coding, testing, and debugging, so it makes economic sense to catch the errors early.
Steve McConnell (Code Complete)
Seibel: I was looking at one of your papers from the 70s about your Fortran profiler. In the preamble you were very enthusiastic about how that tool changed your programming from figuring out what you were going to write, writing it, and debugging it, to figuring out what you were going to write, writing a really simple version, profiling it, then optimizing it.
Peter Seibel (Coders at Work)
rogrammers have “theories” about how software will behave when they change a line of code. Those theories rarely hold up to their first encounter with reality. Unsuccessful programmers could probably wax eloquent about how things should be different. Successful programmers just debug their code. Such a profession would quickly wean a person from idealistic notions about how to make a change. Successful programmers soon learn that it is more profitable to challenge their own thinking than to curse their computers when faced with unexpected results. There is no reason that communities could not formulate policy in a similar way. Two reasons that it is not is because of our still rudimentary understanding of system dynamics and our insistence on placing blame on individuals rather than trying to understand systems.
Ron Davison (The Fourth Economy: Inventing Western Civilization)
Rushing to optimize before the bottlenecks are known may be the only error to have ruined more designs than feature creep. From tortured code to incomprehensible data layouts, the results of obsessing about speed or memory or disk usage at the expense of transparency and simplicity are everywhere. They spawn innumerable bugs and cost millions of man-hours—often, just to get marginal gains in the use of some resource much less expensive than debugging time. Disturbingly often, premature local optimization actually hinders global optimization (and hence reduces overall performance). A prematurely optimized portion of a design frequently interferes with changes that would have much higher payoffs across the whole design, so you end up with both inferior performance and excessively complex code.
Eric S. Raymond (The Art of UNIX Programming)
When you see the right thing, do it—this may look like more work in the short term, but it’s the path of least effort in the long run. If you don’t know what the right thing is, do the minimum necessary to get the job done, at least until you figure out what the right thing is. To do the Unix philosophy right, you have to be loyal to excellence. You have to believe that software design is a craft worth all the intelligence, creativity, and passion you can muster. Otherwise you won’t look past the easy, stereotyped ways of approaching design and implementation; you’ll rush into coding when you should be thinking. You’ll carelessly complicate when you should be relentlessly simplifying—and then you’ll wonder why your code bloats and debugging is so hard.
Eric S. Raymond (The Art of UNIX Programming)
Last words? I'm sure it has been an eventful journey. Someone will want to make your eulogy creative, I have no doubt. I can only wonder what will happen to the mind of the person that is forcefully debugged with their consciousness this deep into the WoAnLiNe. It's going to make an interesting case study for some boring old zero that has that kind of time. I should erase your Animus while I'm at it. It would keep these sorts of problems from happening in the future, troublemaker.
Brandon R. Chinn (Second Stage (The Kognition Cycle #2))
The warmth and the soft glow of the tubes also attracted moths, which would fly through ENIAC’s innards and cause short circuits. Ever since, the process of fixing computer problems has been known as debugging.
T.R. Reid (The Chip : How Two Americans Invented the Microchip and Launched a Revolution)
Doctors troubleshoot the human body—they never got a chance to debug it. (It took God one day to design, prototype, and release that product; talk about schedule pressure! I guess we can forgive priority-two bugs like bunions and male pattern baldness.)
David J. Agans (Debugging)
The Core Debugging Process The core of the debugging process consists of four steps: Reproduce: Find a way to reliably and conveniently reproduce the problem on demand. Report erratum Prepared exclusively for castLabs GmbH this copy is (P2.0 printing, February 2010) FIRST THINGS FIRST 18 Diagnose: Construct hypotheses, and test them by performing experiments until you are confident that you have identified the underlying cause of the bug. Fix: Design and implement changes that fix the problem, avoid intro- ducing regressions, and maintain or improve the overall quality of the software. Reflect: Learn the lessons of the bug. Where did things go wrong? Are there any other examples of the same problem that will also need fixing? What can you do to ensure that the same problem doesn’t happen again?
Paul Butcher
The Deliverator does not know for sure what happens to the driver in such cases, but he has heard some rumors. Most pizza deliveries happen in the evening hours, which Uncle Enzo considers to be his private time. And how would you feel if you bad to interrupt dinner with your family in order to call some obstreperous dork in a Burbclave and grovel for a late fucking pizza? Uncle Enzo has not put in fifty years serving his family and his country so that, at the age when most are playing golf and bobbling their granddaughters, he can get out of the bathtub dripping wet and lie down and kiss the feet of some sixteenyear- old skate punk whose pepperoni was thirty-one minutes in coming. Oh, God. It makes the Deliverator breathe a little shallower just to think of the idea. But he wouldn't drive for CosaNostra Pizza any other way. You know why? Because there's something about having your life on the line. It's like being a kamikaze pilot. Your mind is clear. Other people -- store clerks, burger flippers, software engineers, the whole vocabulary of meaningless jobs that make up Life in America -- other people just rely on plain old competition. Better flip your burgers or debug your subroutines faster and better than your high school classmate two blocks down the strip is flipping or debugging, because we're in competition with those guys, and people notice these things. What a fucking rat race that is. CosaNostra Pizza doesn't have any competition. Competition goes against the Mafia ethic. You don't work harder because you're competing against some identical operation down the street. You work harder because everything is on the line. Your name, your honor, your family, your life. Those burger flippers might have a better life expectancy -- but what kind of life is it anyway, you have to ask yourself. That's why nobody, not even the Nipponese, can move pizzas faster than CosaNostra. The Deliverator is proud to wear the uniform, proud to drive the car, proud to march up the front walks of innumerable Burbclave homes, a grim vision in ninja black, a pizza on his shoulder, red LED digits blazing proud numbers into the night: 12:32 or 15:15 or the occasional 20:43.
Neal Stephenson (Snow Crash)
Huh. Programming. Debugging. It wasn’t Lincoln’s favorite, but it beat archiving and compressing. At least it was a problem to solve. And it would only be for a few months, maybe less.
Rainbow Rowell (Attachments)
there is always a danger that the engineers will somehow program their own subconscious biases into the software.21 Yet once we discover such mistakes, it would probably be far easier to debug the software than to rid humans of their racist and misogynist biases.
Yuval Noah Harari (21 Lessons for the 21st Century)
An individual block of code takes moments to write, minutes or hours to debug, and can last forever without being touched again. It’s when you or someone else visits code written yesterday or ten years ago that having code written in a clear, consistent style becomes extremely useful. Understandable code frees mental bandwidth from having to puzzle out inconsistencies, making it easier to maintain and enhance projects of all sizes.
Daniel Roy Greenfeld
That’s a horrible voice to live with, Kaiyo. I understand that. It’s hard not to listen to it. But it is another distortion of depression. At a fundamental level, we have to remember that, yes, depression is a consistent low mood, but its impact is mainly a distortion of perspective. It is a legitimate mental health difficulty. This means that your brain, mind, and body are not functioning in a healthy way. “What this means is that any information processed by your brain right now is going to be corrupted. We need to debug the system slowly. We can’t trust what it puts out. So, when it tells you the antivirus isn’t working, it means nothing.” Kaiyo furrowed his brows thoughtfully, chewing at his lip. Claudia continued. “This makes it incredibly hard to track progress if you only use what the malware—excuse me if I’m taking this metaphor too far—is corrupting. And what it is corrupting right now is ‘emotional perspectives on world and self’. You feel like nothing has changed. You feel like you’re useless. You feel like this is going to go on forever.
Marina Vivancos (All That Has Flown Beyond (Natural Magic #2))
if you write code constantly trying to see it through the eyes of an engineer two years down the line who has to make a change to it, you will find that the code completes on time and on budget. It will debug faster and be more reliable in production.
Ken Williams (Not All Fairy Tales Have Happy Endings: The rise and fall of Sierra On-Line)
The five stages of model development. —Donald Knuth, Stanford computer scientist Knuth discovered that computer program development goes through five stages. These steps also apply to building models, and I rigorously adhere to them in my consulting work. 1. Decide what you want the model to do. 2. Decide how to build the model. 3. Build the model. 4. Debug the model. 5. Trash stages 1 through 4 and start again, now that you know what you really wanted in the first place. Once you realize that step 5 is inevitable, you become more willing to discard bad models early rather than continually to patch them up. In fact, I recommend getting to step 5 many times by building an evolving set of prototypes. This is consistent with an emerging style of system development known as Extreme Programming.2 To get a large model to work you must start with a small model that works, not a large model that doesn’t work. —Alan Manne, Stanford energy economist
Sam L. Savage (The Flaw of Averages: Why We Underestimate Risk in the Face of Uncertainty)
I once worked on a project in which a software product originally written for UNIX was being redesigned and implemented on Windows NT. Most of the programming team consisted of programmers who had great facility with Windows and Microsoft Visual C++. In no time at all, it seemed, they had generated many screens full of windows and toolbars and dialogues, all with connections to networks and data sources, thousands and thousands of lines of code. But when the inevitable difficulties of debugging came, they seemed at sea. In the face of the usual weird and and unexplainable outcomes, they stood agog. It was left to the UNIX-trained programmers to fix things. The UNIX team members were accustomed to not knowing. Their view of programming as language-as-text gave them the patience to look slowly through the code. In the end, the overall 'productivity' of the system, the fact that it came into being at all, was not the handiwork of tools that sought to make programming seem easy, but the work of engineers who had no fear of 'hard.
Ellen Ullman (Life in Code: A Personal History of Technology)
Another detrimental effect of undervaluing people skills was that in some cases, programmers were rewarded more for raw code production than for meeting the user's needs. Marge Devaney, a programmer at Los Alamos National Laboratory in the 1950's, recalled sex differences in how programmers judged their performance. Asked if she had ever experienced gender bias on the job, sh replied that discrimination was difficult to prove, adding, "With things like computing, it's very hard to judge who's doing the best. Is it better to produce a program quickly and have it full of bugs that the users keep hitting, and so it doesn't work? Or is it better to produce it more slowly and have it so it works?...I do know some of the men believed in the first way: 'Throw it together and let the user debug it!'" This critique is echoed by women today who find their male peers rewarded for averting disasters through heroic last-minute efforts, while women's efforts at preventing such problems through careful work and communication with users go unrecognized. As a female software engineer complained in 2007, "Why don't we just build the system right in the first place? Women are much better at preventive medicine. A Superman mentality is not necessarily productive; it's just an easy fit for the men in the sector.
Janet Abbate (Recoding Gender: Women's Changing Participation in Computing)
One can visualize a debugging assistant that offers very generalized suggestions at first, but as more and more system structure is embodied in the rule base, becomes more and more particular in the hypotheses it generates and the tests it recommends.
Frederick P. Brooks Jr. (The Mythical Man-Month: Essays on Software Engineering)