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Mutation Testing
Mutation testing (or ''mutation analysis'' or ''program mutation'') is used to design new software tests and evaluate the quality of existing software tests. Mutation testing involves modifying a program in small ways. Each mutated version is called a ''mutant'' and tests detect and reject mutants by causing the behaviour of the original version to differ from the mutant. This is called ''killing'' the mutant. Test suites are measured by the percentage of mutants that they kill. New tests can be designed to kill additional mutants. Mutants are based on well-defined ''mutation operators'' that either mimic typical programming errors (such as using the wrong operator or variable name) or force the creation of valuable tests (such as dividing each expression by zero). The purpose is to help the tester develop effective tests or locate weaknesses in the test data used for the program or in sections of the code that are seldom or never accessed during execution. Mutation testing is a for ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Execution (computers)
Execution in computer and software engineering is the process by which a computer or virtual machine reads and acts on the instructions of a computer program. Each instruction of a program is a description of a particular action which must be carried out, in order for a specific problem to be solved. Execution involves repeatedly following a ' fetch–decode–execute' cycle for each instruction done by control unit. As the executing machine follows the instructions, specific effects are produced in accordance with the semantics of those instructions. Programs for a computer may be executed in a batch process without human interaction or a user may type commands in an interactive session of an interpreter. In this case, the "commands" are simply program instructions, whose execution is chained together. The term run is used almost synonymously. A related meaning of both "to run" and "to execute" refers to the specific action of a user starting (or ''launching'' or ''invokin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Synopsys
Synopsys is an American electronic design automation (EDA) company that focuses on silicon design and verification, silicon intellectual property and software security and quality. Products include tools for logic synthesis and physical design of integrated circuits, simulators for development and debugging environments that assist in the design of the logic for chips and computer systems. In recent years, Synopsys has expanded its products and services to include application security testing. Synopsys has gained attention due to its relationship with various Chinese state entities. In 2018, Synopsys formed a partnership with the People's Liberation Army National Defence University and, in 2022, the company came under investigation by the United States Department of Justice for technology transfers to sanctioned entities in China. History Synopsys was founded by Aart J de Geus and David Gregory in 1986 in Research Triangle Park, North Carolina. The company was initially est ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sanity Testing
A sanity check or sanity test is a basic test to quickly evaluate whether a claim or the result of a calculation can possibly be true. It is a simple check to see if the produced material is rational (that the material's creator was thinking rationally, applying sanity). The point of a sanity test is to rule out certain classes of obviously false results, not to catch every possible error. A rule-of-thumb or back-of-the-envelope calculation may be checked to perform the test. The advantage of performing an initial sanity test is that of speedily evaluating basic function. In arithmetic, for example, when multiplying by 9, using the divisibility rule for 9 to verify that the sum of digits of the result is divisible by 9 is a sanity test—it will not catch ''every'' multiplication error, however it's a quick and simple method to discover ''many'' possible errors. In computer science, a ''sanity test'' is a very brief run-through of the functionality of a computer program, system, c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bebugging
Bebugging (or fault seeding or error seeding) is a popular software engineering technique used in the 1970s to measure test coverage. Known bugs are randomly added to a program source code and the software tester is tasked to find them. The percentage of the known bugs not found gives an indication of the real bugs that remain. The term "bebugging" was first mentioned in ''The Psychology of Computer Programming'' (1970), where Gerald M. Weinberg described the use of the method as a way of training, motivating, and evaluating programmers, not as a measure of faults remaining in a program. The approach was borrowed from the SAGE system, where it was used to keep operators watching radar screens alert. Here's a quote from the original use of the term: An early application of bebugging was Harlan Mills's fault seeding approach which was later refined by stratified fault-seeding.L. J. Morell and J. M. Voas, "Infection and Propagation Analysis: A Fault-Based Approach to Estimating ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Code Coverage
In computer science, test coverage is a percentage measure of the degree to which the source code of a program is executed when a particular test suite is run. A program with high test coverage has more of its source code executed during testing, which suggests it has a lower chance of containing undetected software bugs compared to a program with low test coverage. Many different metrics can be used to calculate test coverage. Some of the most basic are the percentage of program subroutines and the percentage of program statements called during execution of the test suite. Test coverage was among the first methods invented for systematic software testing. The first published reference was by Miller and Maloney in ''Communications of the ACM'', in 1963. Coverage criteria To measure what percentage of code has been executed by a test suite, one or more ''coverage criteria'' are used. These are usually defined as rules or requirements, which a test suite must satisfy. Basic cove ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Fuzz Testing
Fuzz may refer to: * Fuzz (film), ''Fuzz'' (film), a 1972 American comedy * ''Fuzz: When Nature Breaks the Law'', a nonfiction book by Mary Roach * The fuzz, a List of slang terms for police officers, slang term for police officers Music * Fuzz (electric guitar), distortion effects to create "warm" and "dirty" sounds * Fuzz (band), a garage rock band featuring Ty Segall, Charles Moothart and Chad Ubovich ** Fuzz (Fuzz album), ''Fuzz'' (Fuzz album), their 2013 debut studio album * The Fuzz (band), a 1970s American female vocal trio ** The Fuzz (album), ''The Fuzz'' (album), their 1970 debut album * Fuzz (Alice Donut album), ''Fuzz'' (Alice Donut album), 2006 punk album * Fuzz (Junkhouse album), ''Fuzz'' (Junkhouse album), 1996 rock album * "Fuzz", a 2007 song by Japanese rock band Mucc People * Fuzz White (1916–2003), Major League Baseball player * Calvin "Fuzz" Jones (1926–2010), American electric blues bassist and singer * Steve "Fuzz" Kmak (born 1970), American bassist who ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Mu Dynamics
Spirent Communications plc is a British multinational telecommunications testing company headquartered in Crawley, West Sussex, in the United Kingdom. It is listed on the London Stock Exchange and is a constituent of the FTSE 250 Index. History The company was founded by Jack Bowthorpe in 1936 as Goodliffe Electric Supplies. In 1949 it changed its name to Bowthorpe. It acquired Optima Electronics in 1987 and disposed of its defence businesses in 1990. The company's electronics business grew rapidly during the dot-com boom of the 1990s, with the 1995 purchase of Telecom Analysis Systems (located in Eatontown, New Jersey) and the 1997 purchase of businesses such as Adtech, a digital test equipment concern based in Hawaii and the company was a member of the FTSE 100 index from time to time. It disposed of its automotive industry businesses in 1999, the same year that it bought Netcom Systems, a US telecoms testing business which makes network equipment testers, and DLS, a Canadian ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Codenomicon
Synopsys is an American electronic design automation (EDA) company that focuses on silicon design and verification, silicon intellectual property and software security and quality. Products include tools for logic synthesis and physical design of integrated circuits, simulators for development and debugging environments that assist in the design of the logic for chips and computer systems. In recent years, Synopsys has expanded its products and services to include application security testing. Synopsys has gained attention due to its relationship with various Chinese state entities. In 2018, Synopsys formed a partnership with the People's Liberation Army National Defence University and, in 2022, the company came under investigation by the United States Department of Justice for technology transfers to sanctioned entities in China. History Synopsys was founded by Aart J de Geus and David Gregory in 1986 in Research Triangle Park, North Carolina. The company was initially est ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Fuzzing
In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. The program is then monitored for exceptions such as crashes, failing built-in code assertions, or potential memory leaks. Typically, fuzzers are used to test programs that take structured inputs. This structure is specified, e.g., in a file format or protocol and distinguishes valid from invalid input. An effective fuzzer generates semi-valid inputs that are "valid enough" in that they are not directly rejected by the parser, but do create unexpected behaviors deeper in the program and are "invalid enough" to expose corner cases that have not been properly dealt with. For the purpose of security, input that crosses a trust boundary is often the most useful. For example, it is more important to fuzz code that handles the upload of a file by any user than it is to fuzz the code tha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Finite State Machines
A finite-state machine (FSM) or finite-state automaton (FSA, plural: ''automata''), finite automaton, or simply a state machine, is a mathematical model of computation. It is an abstract machine that can be in exactly one of a finite number of '' states'' at any given time. The FSM can change from one state to another in response to some inputs; the change from one state to another is called a ''transition''. An FSM is defined by a list of its states, its initial state, and the inputs that trigger each transition. Finite-state machines are of two types— deterministic finite-state machines and non-deterministic finite-state machines. A deterministic finite-state machine can be constructed equivalent to any non-deterministic one. The behavior of state machines can be observed in many devices in modern society that perform a predetermined sequence of actions depending on a sequence of events with which they are presented. Simple examples are vending machines, which dispense p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
White-box Testing
White-box testing (also known as clear box testing, glass box testing, transparent box testing, and structural testing) is a method of software testing that tests internal structures or workings of an application, as opposed to its functionality (i.e. black-box testing). In white-box testing, an internal perspective of the system is used to design test cases. The tester chooses inputs to exercise paths through the code and determine the expected outputs. This is analogous to testing nodes in a circuit, e.g. in-circuit testing (ICT). White-box testing can be applied at the unit testing, unit, integration testing, integration and system testing, system levels of the software testing process. Although traditional testers tended to think of white-box testing as being done at the unit level, it is used for integration and system testing more frequently today. It can test paths within a unit, paths between units during integration, and between subsystems during a system–level test. Th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Symbolic Model Verification
In computer science, model checking or property checking is a method for checking whether a finite-state model of a system meets a given specification (also known as correctness). This is typically associated with hardware or software systems, where the specification contains liveness requirements (such as avoidance of livelock) as well as safety requirements (such as avoidance of states representing a system crash). In order to solve such a problem algorithmically, both the model of the system and its specification are formulated in some precise mathematical language. To this end, the problem is formulated as a task in logic, namely to check whether a structure satisfies a given logical formula. This general concept applies to many kinds of logic and many kinds of structures. A simple model-checking problem consists of verifying whether a formula in the propositional logic is satisfied by a given structure. Overview Property checking is used for verification when two desc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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