Using perturbation analysis to measure variation in the information content of test sets

Proceedings of the 1996 ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 1996

Volumn , Issue , 1996, Pages 92-97

  Morell, Larry ^a   Murrill, Branson ^b  

^a HAMPTON UNIVERSITY   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; QUALITY CONTROL;

COUPLING EFFECT; DATA STATE; INFORMATION CONTENTS; MUTATION TESTING; PERTURBATION ANALYSIS; PERTURBATION FUNCTIONS; TESTING CRITERIA; TESTING STRATEGIES;

SOFTWARE TESTING;

EID: 84948756123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/229000.226306     Document Type: Conference Paper

References (7)

1. R. A. DeMillo, D. S. Guindi, K. King, W. M. Mc-Cracken, and A. J. Offutt. An extended overview of the mothra software testing environment. Second Workshop on Software Testing, Validation, and Analysis, pages pp. 142-151, July 1988.
2. T. Goradia. Dynamic impact analysis. ISSTA '93, pages 171-181, June 1993.
3. L. J. Morell. A theory of fault-based testing. IEEE Trans. Soft. Eng, pages pp. 844-857, August 1990.
4. B. Murrill and L. Morell. Semantic metrics derived from error flow analysis. Journal of Systems and Software, 20(3):253-265, 1993.
5. J. Voas. Pie: A dynamic failure-based technique. IEEE Transactions on Software Engineering, 18(8), August 1992.
6. J. Voas, L. Morell, and K. Miller. Predicting where faults can hide from testing. IEEE Software, pages 50-60, November 1990.
7. J. M. Voas and K. W. Miller. The revealing power of a test case. Software Testing, Verification and Reliability, 2:25-42, 1992.