Concurrent Testing
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Concurrent Testing
Research and literature on concurrency testing and concurrent testing typically focuses on testing software and systems that use concurrent computing. The purpose is, as with most software testing, to understand the behaviour and performance of a software system that uses concurrent computing, particularly assessing the stability of a system or application during normal activity. Research and study of program concurrency started in the 1950s, with research and study of testing program concurrency appearing in the 1960s. Examples of problems that concurrency testing might expose are incorrect shared memory access and unexpected order sequence of message or thread execution. Resource contention resolution, scheduling, deadlock avoidance, priority inversion and race conditions are also highlighted. Selected history & approaches of testing concurrency Approaches to concurrency testing may be on a limited unit test level right up to system test level. Some approaches to research and ...
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Concurrent Computing
Concurrent computing is a form of computing in which several computations are executed '' concurrently''—during overlapping time periods—instead of ''sequentially—''with one completing before the next starts. This is a property of a system—whether a program, computer, or a network—where there is a separate execution point or "thread of control" for each process. A ''concurrent system'' is one where a computation can advance without waiting for all other computations to complete. Concurrent computing is a form of modular programming. In its paradigm an overall computation is factored into subcomputations that may be executed concurrently. Pioneers in the field of concurrent computing include Edsger Dijkstra, Per Brinch Hansen, and C.A.R. Hoare. Introduction The concept of concurrent computing is frequently confused with the related but distinct concept of parallel computing, Pike, Rob (2012-01-11). "Concurrency is not Parallelism". ''Waza conference'', 11 Ja ...
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Software Testing
Software testing is the act of checking whether software satisfies expectations. Software testing can provide objective, independent information about the Quality (business), quality of software and the risk of its failure to a User (computing), user or sponsor. Software testing can determine the Correctness (computer science), correctness of software for specific Scenario (computing), scenarios but cannot determine correctness for all scenarios. It cannot find all software bug, bugs. Based on the criteria for measuring correctness from an test oracle, oracle, software testing employs principles and mechanisms that might recognize a problem. Examples of oracles include specifications, Design by Contract, contracts, comparable products, past versions of the same product, inferences about intended or expected purpose, user or customer expectations, relevant standards, and applicable laws. Software testing is often dynamic in nature; running the software to verify actual output ...
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Stress Test (hardware)
A stress test (sometimes called a torture test) of hardware is a form of deliberately intense and thorough testing used to determine the stability of a given system or entity. It involves testing ''beyond normal operational capacity'', often to a breaking point, in order to observe the results. Reasons can include: to determine breaking points and safe usage limits; to confirm that the intended specifications are being met; to search for issues inside of a product; to determine modes of failure (how exactly a system may fail), and to test stable operation of a part or system outside standard usage. Reliability engineers often test items under expected stress or even under accelerated stress in order to determine the operating life of the item or to determine modes of failure. The term ''stress test'' as it relates to hardware (including electronics, physical devices, nuclear power plants, etc.) is likely to have different refined meanings in specific contexts. One example is in ...
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