Longer is better: On the role of test sequence length in software testing

ICST 2010 - 3rd International Conference on Software Testing, Verification and Validation

Volumn , Issue , 2010, Pages 469-478

  Arcuri, Andrea ^a  

^a SIMULA RESEARCH LABORATORY   (Norway)

Author keywords

Evolutionary testing; Length; Object oriented software; Search based software engineering; Software testing; State problem; Test sequence

Indexed keywords

BRANCH COVERAGE; C PROGRAMS; EVOLUTIONARY TESTING; FUNCTION CALLS; INTERNAL STATE; OBJECT ORIENTED SOFTWARE; TEST SEQUENCE;

OBJECT ORIENTED PROGRAMMING; SOFTWARE TESTING; TESTING; VERIFICATION;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 77954505816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICST.2010.16     Document Type: Conference Paper

References (17)

1. J. H. Andrews, A. Groce, M. Weston, and R. G. Xu. Random test run length and effectiveness. In IEEE/ACM International Conference on Automated Software Engineering (ASE), pages 19-28, 2008.
2. A. Arcuri. Insight knowledge in search based software testing. In Genetic and Evolutionary Computation Conference (GECCO), pages 1649-1656, 2009.
3. A. Arcuri, P. Lehre, and X. Yao. Theoretical runtime analysis in search based software engineering. Technical Report CSR-09-04, University of Birmingham, 2009.
4. A. Arcuri and X. Yao. Search based software testing of objectoriented containers. Information Sciences, 178(15):3075-3095, 2008.
5. J. W. Duran and S. C. Ntafos. An evaluation of random testing. IEEE Transactions on Software Engineering, 10(4):438-444, 1984.
6. G. Fraser and A. Gargantini. Experiments on the test case length in specification based test case generation. In International Workshop on Automation in Software Test (AST), 2009.
7. M. Harman. The current state and future of search based software engineering. In Future of Software Engineering (FOSE), pages 342-357, 2007. (Pubitemid 47484936)
8. K. Inkumsah and T. Xie. Improving structural testing of object-oriented programs via integrating evolutionary testing and symbolic execution. In IEEE/ACM International Conference on Automated Software Engineering (ASE), pages 297-306, 2008.
9. P. K. Lehre and X. Yao. Runtime analysis of search heuristics on software engineering problems. Frontiers of Computer Science in China, 3(1):64-72, 2009.
10. P. McMinn. Search-based software test data generation: Asurvey. Software Testing, Verification and Reliability, 14(2):105-156, 2004.
11. G. Myers. The Art of Software Testing. Wiley, New York, 1979.
12. J. C. B. Ribeiro, M. A. Zenha-Rela, and F. F. de Vega. Test case evaluation and input domain reduction strategies for the evolutionary testing of object-oriented software. Information and Software Technology, 2009. (In Press).
13. P. Tonella. Evolutionary testing of classes. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA), pages 119-128, 2004.
14. W. Visser, C. S. Pasareanu, and R. Pelànek. Test input generation for java containers using state matching. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA), pages 37-48, 2006.
15. S. Wappler and J. Wegener. Evolutionary unit testing of object-oriented software using strongly-typed genetic programming. In Genetic and Evolutionary Computation Conference (GECCO), pages 1925-1932, 2006. (Pubitemid 44611576)
16. T. Xie, D. Marinov, and D. Notkin. Rostra: A framework for detecting redundant object-oriented unit tests. In IEEE/ACM International Conference on Automated Software Engineering (ASE), pages 196-205, 2004.
17. T. Xie, D. Marinov, W. Schulte, and D. Notkin. Symstra: A framework for generating object-oriented unit tests using symbolic execution. In Proceedings of the 11th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, pages 365-381, 2005.