Software verification
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.
Broad scope and classification
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 (Test, experimentation)
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).
See also
- Verification and validation (software)
- Runtime verification
- Hardware verification
- Formal verification
References
- IEEE: SWEBOK: Guide to the Software Engineering Body of Knowledge
- Carlo Ghezzi, Mehdi Jazayeri, Dino Mandrioli: Fundamentals of Software Engineering, Prentice Hall, ISBN 0-13-099183-X
- Alan L. Breitler: A Verification Procedure for Software Derived from Artificial Neural Networks, Journal of the International Test and Evaluation Association, Jan 2004, Vol 25, No 4.
- Vijay D'Silva, Daniel Kroening, Georg Weissenbacher: A Survey of Automated Techniques for Formal Software Verification. IEEE Trans. on CAD of Integrated Circuits and Systems 27(7): 1165-1178 (2008)