Title :
Using Mutation Analysis to Evolve Subdomains for Random Testing
Author :
Patrick, Matthew ; Alexander, Rob ; Oriol, Manuel ; Clark, John A.
Author_Institution :
Univ. of York, York, UK
Abstract :
Random testing is inexpensive, but it can also be inefficient. We apply mutation analysis to evolve efficient subdomains for the input parameters of eight benchmark programs that are frequently used in testing research. The evolved subdomains can be used for program analysis and regression testing. Test suites generated from the optimised subdomains outperform those generated from random subdomains with 10, 100 and 1000 test cases for uniform, Gaussian and exponential sampling. Our subdomains kill a large proportion of mutants for most of the programs we tested with just 10 test cases.
Keywords :
program diagnostics; program testing; regression analysis; sampling methods; Gaussian sampling; exponential sampling; mutation analysis; optimised subdomain; program analysis; random subdomain; random testing; regression testing; subdomain evolution; test suite; testing research; uniform sampling; Benchmark testing; Convergence; Gaussian distribution; Optimization; Schedules; Shape; mutation testing input distribution test case generation search based evolution strategy;
Conference_Titel :
Software Testing, Verification and Validation Workshops (ICSTW), 2013 IEEE Sixth International Conference on
Conference_Location :
Luxembourg
Print_ISBN :
978-1-4799-1324-4
DOI :
10.1109/ICSTW.2013.14
