Hardware Testing Quotes

Fitbit is a company that knows the value of Shadow Testing. Founded by Eric Friedman and James Park in September 2008, Fitbit makes a small clip-on exercise and sleep data-gathering device. The Fitbit device tracks your activity levels throughout the day and night, then automatically uploads your data to the Web, where it analyzes your health, fitness, and sleep patterns. It’s a neat concept, but creating new hardware is time-consuming, expensive, and fraught with risk, so here’s what Friedman and Park did. The same day they announced the Fitbit idea to the world, they started allowing customers to preorder a Fitbit on their Web site, based on little more than a description of what the device would do and a few renderings of what the product would look like. The billing system collected names, addresses, and verified credit card numbers, but no charges were actually processed until the product was ready to ship, which gave the company an out in case their plans fell through. Orders started rolling in, and one month later, investors had the confidence to pony up $2 million dollars to make the Fitbit a reality. A year later, the first real Fitbit was shipped to customers. That’s the power of Shadow Testing.

Thus: the test of a ‘run-down unit’93. If a power failure occurred, the fission reaction would still be producing heat, while the remaining water in the pipes would continue its momentum for a short time and therefore steam would still be produced. In turn, the turbines would still rotate and generate electricity, albeit at an exponentially falling capacity. This residual electricity could be used to drive the water pumps for a few vital moments, giving the diesel generators sufficient time to get up to speed and take over, and it’s the hardware behind this that was being tested.

system testing, involves testing of a complete application environment in a situation that mimics real-world use, such as interacting with a database, using network communications, or interacting with other hardware, applications,

Articulating upfront what your goals are will help you with other phases of your DevOps roll out. Some common measurable goals are: Reduce time-to-market for new features. Increase overall availability of the product. Reduce the time it takes to deploy a software release. Increase the percentage of defects detected in testing before production release. Make more efficient use of hardware infrastructure. Provide performance and user feedback to the product manager in a more timely manner.

physical sharing and exchange of computer tapes and disks on which the code was recorded. In current Internet days, rapid technological advances in computer hardware and software and networking technologies have made it much easier to create and sustain a communal development style on ever-larger scales. Also, implementing new projects is becoming progressively easier as effective project design becomes better understood, and as prepackaged infrastructural support for such projects becomes available on the Web. Today, an open source software development project is typically initiated by an individual or a small group seeking a solution to an individual's or a firm's need. Raymond (1999, p. 32) suggests that "every good work of software starts by scratching a developer's personal itch" and that "too often software developers spend their days grinding away for pay at programs they neither need nor love. But not in the (open source) world...." A project's initiators also generally become the project's "owners" or "maintainers" who take on responsibility for project management." Early on, this individual or group generally develops a first, rough version of the code that outlines the functionality envisioned. The source code for this initial version is then made freely available to all via downloading from an Internet website established by the project. The project founders also set up infrastructure for the project that those interested in using or further developing the code can use to seek help, provide information or provide new open source code for others to discuss and test. In the case of projects that are successful in attracting interest, others do download and use and "play with" the code-and some of these do go on to create new and modified code. Most then post what they have done on the project website for use and critique by any who are interested. New and modified code that is deemed to be of sufficient quality and of general interest by the project maintainers is then added to the authorized version of the code. In many projects the privilege of adding to the authorized code is restricted to only a few trusted developers. These few then serve as gatekeepers for code written by contributors who do not have such access (von Krogh and Spaeth 2002). Critical tools and infrastructure available to open source software project participants includes email lists for specialized purposes that are open to all. Thus, there is a list where code users can report software failures ("bugs") that they encounter during field use of the software. There is also a list where those developing the code can share ideas about what would be good next steps for the project, good features to add, etc. All of these lists are open to all and are also publicly archived,

We have a unique and totally unprecedented ability to innovate and transmit information and ideas from person to person. At first, modern human cultural change accelerated gradually, causing important but incremental shifts in how our ancestors hunted and gathered. Then, starting about 50,000 years ago, a cultural and technological revolution occurred that helped humans colonize the entire planet. Ever since then, cultural evolution has become an increasingly rapid, dominant, and powerful engine of change. Therefore, the best answer to the question of what makes Homo sapiens special and why we are the only human species alive is that we evolved a few slight changes in our hardware that helped ignite a software revolution that is still ongoing at an escalating pace. Who Were the First Homo sapiens? Every religion has a different explanation for when and where our species, H. sapiens, originated. According to the Hebrew Bible, God created Adam from dust in the Garden of Eden and then made Eve from his rib; in other traditions, the first humans were vomited up by gods, fashioned from mud, or birthed by enormous turtles. Science, however, provides a single account of the origin of modern humans. Further, this event has been so well studied and tested using multiple lines of evidence that we can state with a reasonable degree of confidence that modern humans evolved from archaic humans in Africa at least 200,000 years ago.

With luck, you chose your work because of a bold vision. You want to deliver that vision to the world, whether it’s a message or a service or an experience, software or hardware or even—as in the case of this book—a story or an idea. But bringing a vision to life is difficult. It’s all too easy to get stuck in churn: endless email, deadlines that slip, meetings that burn up your day, and long-term projects based on questionable assumptions.

Will your infrastructure require a human to manage? Will you need a fully staffed DevOps/SRE team to support your operations? How much will it cost to run the system at full scale? Can you save $$ while you are running the proof of concept for the first 6 months before you get funded? How costly will it be to handle the occasional traffic spikes? How well will your system protect the customer’s data? How can you best support the future development and testing efforts? Most of these questions are answered by selecting your hosting model. Several options exist: Use your own dedicated hardware Provision dedicated hardware from a cloud provider Provision virtual hardware from a cloud provider Install a container solution on dedicated or virtual hardware Rely on fully managed container orchestration solution Go serverless

Allen: Yes, I think he had the whole thing. But he replaced some of the software heads with people with hardware experience. And it was really the right thing to do because the hardware people already had a wonderful discipline around building hardware—the chip design and the testing process and all of that. And that was an older and much more rigorous ways of expressing designs. We software people were just making it up. Seibel: So you feel that, at least on that project, that they brought something to the software-development process that saved the project? Allen: It was absolutely necessary, but it was so painful for the software people to have these guys—all guys—move in, knowing nothing about software, and just impose design reviews, design specs, all of this stuff. Seibel: So it did help save that project. Did that embolden folks to take this next step to the Cleanroom process that was sort of a step too far? Allen: Yeah, I think it did. That was the sequence. And the Cleanroom process, the waterfall process, came in through management with a very strong advocate for it.

If I could relive that day, I would say, “We almost never get the design right on the first pass. We design a piece of the hardware, build it, test it, find out what’s not working the way it needs to, have it fixed, then test it again before integrating it into the spacecraft.

FUNCTIONAL SAFETY AS PER IEC 61511 SIF SIS SIL TRAINING FUNCTIONAL SAFETY COURSE OBJECTIVES: The main objective of this training program is to give engineers involved in safety instrumented systems the opportunity to learn about functional safety, current applicable safety standards (IEC 61511) and their requirements. The Participants will be able to learn to follow: • Understand the basic requirements of the functional safety standards (IEC 61511) • The meaning of SIS, SIF, SIL and other functional safety terminology • Differentiate between safety functions and control functions • The role of Hazard and Risk analysis in setting SIL targets• • Create basic designs of safety instrumented systems considering architectural constraints • Different type of failures and best practices for minimizing them • Understand the effect of redundancy, diagnostics, proof test intervals, hardware fault tolerance on the SIL • The responsibility of operation and maintenance to ensure a SIF meets its SIL • How to proof test a SIF The Benefits for the Participants: At the conclusion of the training, the participants will be able to: Participate effectively in SIL determination with Risk graph, Risk matrix, and LOPA methodology Determine whether the design of a Safety Instrumented Function meets the required SIL. Select a SIF architecture that both meets the required SIL and minimizes spurious trips. Select SIF components to meet the target SIL for that SIF Target Audience: Instrument and Control Design and maintenance engineers Process Engineers Process Plant Operation Engineers Functional safety Management Engineers For Registration Email Us On techsupport@marcepinc.com or call us on 022-30210100

I had an auto-repair man once, who, on these intelligence tests, could not possibly have scored more than 80, by my estimate. I always took it for granted that I was far more intelligent than he was. Yet, when anything went wrong with my car I hastened to him with it, watched him anxiously as he explored its vitals, and listened to his pronouncements as though they were divine oracles - and he always fixed my car.Well, then, suppose my auto-repair man devised questions for an intelligence test. Or suppose a carpenter did, or a farmer, or, indeed, almost anyone but an academician. By every one of those tests, I’d prove myself a moron, and I’d be a moron, too. In a world where I could not use my academic training and my verbal talents but had to do something intricate or hard, working with my hands, I would do poorly. My intelligence, then, is not absolute but is a function of the society I live in and of the fact that a small subsection of that society has managed to foist itself on the rest as an arbiter of such matters.Consider my auto-repair man, again. He had a habit of telling me jokes whenever he saw me. One time he raised his head from under the automobile hood to say: “Doc, a deaf-and-mute guy went into a hardware store to ask for some nails. He put two fingers together on the counter and made hammering motions with the other hand. The clerk brought him a hammer. He shook his head and pointed to the two fingers he was hammering. The clerk brought him nails. He picked out the sizes he wanted, and left. Well, doc, the next guy who came in was a blind man. He wanted scissors. How do you suppose he asked for them?”Indulgently, I lifted my right hand and made scissoring motions with my first two fingers. Whereupon my auto-repair man laughed raucously and said, “Why, you dumb jerk, He used his voice and asked for them.” Then he said smugly, “I’ve been trying that on all my customers today.”“Did you catch many?” I asked.“Quite a few,” he said, “but I knew for sure I’d catch you.”“Why is that?” I asked.“Because you’re so goddamned educated, doc, I knew you couldn’t be very smart.

The conceptual auto-disaster. The volunteer panels were shown fake safety propaganda movies in which implausible accidents were staged. Far from eliciting a humorous or sardonic response from the audience, marked feelings of hostility were shown towards the film and medical support staff. Subsequent films of genuine accidents exerted a notably calming effect. From this and similar work it is clear that Freud’s classic distinction between the manifest and latent content of the inner world of the psyche now has to be applied to the outer world of reality. A dominant element in this reality is technology and its instrument, the machine. In most roles the machine assumes a benign or passive posture - telephone exchanges, engineering hardware, etc. The twentieth century has also given birth to a vast range of machines - computers, pilotless planes, thermonuclear weapons - where the latent identity of the machine is ambiguous even to the skilled investigator. An understanding of this identity can be found in a study of the automobile, which dominates the vectors of speed, aggression, violence and desire. In particular the automobile crash contains a crucial image of the machine as conceptualized psychopathology. Tests on a wide range of subjects indicate that the automobile, and in particular the automobile crash, provides a focus for the conceptualizing of a wide range of impulses involving the elements of psychopathology, sexuality and self-sacrifice.

With both the hardware and software needed to fully emulate human intelligence, we can expect computers to pass the Turing test, indicating intelligence indistinguishable from that of biological humans, by the end of the 2020s.

Protection relays and substation automation equipment control and protect essential resources during ordinary activity and flaw conditions, making them imperative to arrange dependability. We offers relay testing service administrations as indicated by global norms for these key segments. A protection relay might be called without hesitation just once in a while if at all. Be that as it may, on the off chance that it doesn't work accurately when required, there could be shocking consequences for the vitality supply and public safety. Then again, a protection relay that switches when not required could have colossal financial effect. After some time, transfers have advanced from electromechanical to computerize. This has expanded their usefulness yet in addition their affectability to nature, making powerful testing both all the more testing and progressively significant. So, the question is what are Relays? Relays are only distinct gadgets that have been utilized to permit low power logic signs to control a much high power circuit. This is accomplished predominantly by giving a small electromagnetic curl to the rationale circuit to control. Its fundamental capacity requires another degree of refined test equipment and software to totally dissect the activity of the unit in a "reality" circumstance. Each part of relay testing could be dealt with a far reaching line of hand-off relay test equipment. Significances of this tester: A kind of relay tester is the computer-supported relay testing hardware that has been included with high power limit with regards to its present amplifiers. It is the perfect relay testing answer for applications where huge current yield is required.

Co-ops tend to take hold when the order of things is in flux, when people have to figure out how to do what no one will do for them. Farmers had to get their own electricity when investors wouldn’t bring it; small hardware stores organized co-ops to compete with big boxes before buying local was in fashion. Before employers and governments offered insurance, people set it up for themselves. Co-ops have served as test runs for the social contracts that may later be taken for granted, and they’re doing so again.

For the two or three of you still unfamiliar with managed care, let me explain how it works: each appointment and test needs a separate referral from the primary doctor. These are given out only on the second day following the third night after a full moon. Also, you have to know the secret password. Got it?

Here are ten facts about IQ. These facts are debated and often controversial among the general public but far less so among scientists who study intelligence. The best review of the academic literature supporting these facts is a 2012 paper by Richard Nisbett and colleagues – an interdisciplinary team of leading scholars, household names within intelligence research, comprised of psychologists, an economist, a behavioral geneticist, and a former President of the American Psychological Association. Their areas of expertise include cultural and sex differences in intelligence, the effect of social and genetic factors that affect intelligence, the development of intelligence over the lifespan, the relationship between economic development and intelligence, and changes in intelligence over history 1. IQ is a good predictor of school and work performance, at least in WEIRD societies. 2. IQ differs in predictive power and is the least predictive of performance on tasks that demand low cognitive skill. 3. IQ may be separable into what can be called ‘crystallized intelligence’ and ‘fluid intelligence’. Crystalized intelligence refers to knowledge that is drawn on to solve problems. Fluid intelligence refers to an ability to solve novel problems and to learn. 4. Educational interventions can improve aspects of IQ, including fluid intelligence, which is affected by interventions such as memory training. Many of these results don’t seem to last long, although there is strong evidence that education as a whole causally raises IQ over a lifetime. 5. IQ test scores have been dramatically increasing over time. This is called the Flynn effect after James Flynn (also an author of the review mentioned above), who first noticed this pattern. The Flynn effect is largest for nations that have recently modernized. Large gains have been measured on the Raven’s test, a test that has been argued to be the most ‘culture-free’ and a good measure of fluid intelligence. That is, it’s not just driven by people learning more words or getting better at adding and subtracting. 6. IQ differences have neural correlates – i.e. you can measure these differences in the brain. 7. IQ is heritable, though the exact heritability differs by population, typically ranging from around 30% to 80%. 8. Heritability is lower for poorer people in the US, but not in Australia and Europe where it is roughly the same across levels of wealth. 9. Males and females differ in IQ performance in terms of variance and in the means of different subscales. 10. Populations and ethnicities differ on IQ performance. You can imagine why some people might question these statements. But setting aside political considerations, how do we scientifically make sense of this? Popular books from Richard Herrnstein and Charles Murray’s The Bell Curve (1994) to Robert Plomin’s Blueprint (2018) have attributed much of this to genes. People and perhaps groups differ in genes, making some brighter than others. But humans are a species with two lines of inheritance. They have not just genetic hardware but also cultural software. And it is primarily by culture rather than genes that we became the most dominant species on earth. For a species so dependent on accumulated knowledge, not only is the idea of a culture-free intelligence test meaningless, so too is the idea of culture free intelligence.

Musk differed from his competitors in another, important way—failure was an option. At most other aerospace companies, no employee wanted to make a mistake, lest it reflect badly on an annual performance review. Musk, by contrast, urged his team to move fast, build things, and break things. At some government labs and large aerospace firms, an engineer may devote a career to creating stacks of paperwork without ever touching hardware. The engineers designing the Falcon 1 rocket spent much of their time on the factory floor, testing ideas, rather than debating them. Talk less, do more.

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.

In 2016, Tesla announced that every new vehicle would be equipped with all the hardware it needs to drive autonomously, including a bevy of sensors and an onboard computer running a neural network.2 The kicker: the autonomous AI software won’t be fully deployed. As it turns out, Tesla will test drivers against software simulations running in the background on the car’s computer. Only when the background program consistently simulates moves more safely than the driver does will the autonomous software be ready for prime time. At that point, Tesla will release the program through remote software updates. What this all means is that Tesla drivers will, in aggregate, be teaching the fleet of cars how to drive.

My friend Keerthik Sasidharan suggested to me, in twenty-first-century terms, that Hinduism is analogous to an open-source operating system on top of which others can build applications to be deployed in the receptive hardware of human brains. All Hinduism demands before the formation of any belief is analytical and logical consistency. Even the existence of God is subject to this test.

Agile software teams solve the problems with waterfall by building their software incrementally, making only the decisions around the specific work packages they’ve chosen to complete in a sprint. They delay even the decisions about which work packages or user stories to implement, choosing them out of a backlog at the start of each sprint. They get immediate feedback, first from their own tests and then from the users at a Demo to validate their decisions.

No matter how good their CAD tools are, eventually they must build and test the product in the physical world.