Software verification is a discipline of software engineering, programming languages, and theory of computation whose goal is to assure that software satisfies the expected requirements.
A broad definition of verification makes it related to software testing. In that case, there are two fundamental approaches to verification:
Dynamic verification, also known as experimentation, dynamic testing or, simply testing. - This is good for finding faults (software bugs).
Static verification, also known as analysis or, static testing - This is useful for proving the correctness of a program. Although it may result in false positives when there are one or more conflicts between the process a software really does and what the static verification assumes it does.
Under the ACM Computing Classification System, software verification topics appear under "Software and its engineering", within "Software creation", whereas Program verification also appears under Theory of computation under Semantics and reasoning, Program reasoning.
Dynamic verification is performed during the execution of software, and dynamically checks its behavior; it is commonly known as the Test phase.
Verification is a Review Process.
Depending on the scope of tests, we can categorize them in three families:
Test in the small: a test that checks a single function or class (Unit test)
Test in the large: a test that checks a group of classes, such as
Module test (a single module)
Integration test (more than one module)
System test (the entire system)
Acceptance test: a formal test defined to check acceptance criteria for a software
Functional test
Non functional test (performance, stress test)
The aim of software dynamic verification is to find the errors introduced by an activity (for example, having a medical software to analyze bio-chemical data); or by the repetitive performance of one or more activities (such as a stress test for a web server, i.e. check if the current product of the activity is as correct as it was at the beginning of the activity).
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Introduces formal verification and its advantages over traditional testing methods, discussing automated theorem proving and compiling correctness statements into verification conditions.
Software testing is the act of examining the artifacts and the behavior of the software under test by validation and verification. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not necessarily limited to: analyzing the product requirements for completeness and correctness in various contexts like industry perspective, business perspective, feasibility and viability of implementation, usability, performance, security, infrastructure considerations, etc.
In computer science, static program analysis (or static analysis) is the analysis of computer programs performed without executing them, in contrast with dynamic program analysis, which is performed on programs during their execution. The term is usually applied to analysis performed by an automated tool, with human analysis typically being called "program understanding", program comprehension, or code review. In the last of these, software inspection and software walkthroughs are also used.
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ELSEVIER2021
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