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http://dx.doi.org/10.3745/KIPSTD.2004.11D.6.1287

A Coverage-Based Software Reliability Growth Model for Imperfect Fault Detection and Repeated Construct Execution  

Park, Joong-Yang
Park, Jae-Heung
Kim, Young-Soon
Abstract
Recently relationships between reliability measures and the coverage have been developed for evaluation of software reliability. Particularly the mean value function of the coverage-based software reliability growth model is important because of its key role in rep-resenting the software reliability growth. In this paper, we first review the problems of the existing mean value functions with respect to the assumptions on which they are based. Then a new mean value function is proposed. The new mean value function is developed for a general testing environment in which imperfect fault detection and repeated construct execution are allowed. Finally performance of the proposed model is empirically evaluated by applying it to a real data set.
Keywords
Software Reliability Growth Model; Mean Value Function; Construct; Uniform Testing; Imperfect Fault Detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 P. Piwowarski, M. Ohba and J. Caruso, 'Coverage Measurement Experience During Function Test,' Proceeding of the 15th International Conference on Software Engineering, pp.287-300, Baltimore, MD, May, 1993   DOI
2 A. T. Rivers and M. A. Vouk, 'Resource-Constrained Non-Operational Testing of Software,' Proc. 9th International Symposium on Software Reliability Engineering, pp.154-163, 1998   DOI
3 M. A. Vouk, 'Using Reliability Models During Testing with Non-operational Profiles,' Proceedings of the 2nd Bellcore/Purdue Workshop on Issues in Software Reliability Estimation, pp.103-111, Oct., 1992
4 H. Pham and L. Nordmann, 'A Generalized NHPP Software Reliability Model,' in Proceeding 3rd Conference On Reliability and Quality in Design, Anaheim, March, 1997
5 H. Pham, L. Nordmann and X. Zhang, 'A General Imperfect-Software-Debugging Model with S-Shaped Fault-Detection Rate,' IEEE Transactions on Reliability, Vol.48, No.2, pp.169-175, 1999   DOI   ScienceOn
6 H. Pham and X. Zhang, 'An NHPP Software Reliability Models and its Comparison,' International Journal of Reliability, Quality and Safety Engineering, 4, pp.269 -282, 1997   DOI   ScienceOn
7 J. D. Musa and K. Okumoto, 'A Logarithmic Poisson Execution Time Model for Software Reliability Measurement,' Proceedings of the 7th International Conference on Software Engineering, pp.230-238, Orlando, 1984
8 J. Y. Park, J. H. Park and S. J. Park, 'A Study on Test Coverage for Software Reliability Evaluation,' Transaction of Korean Information Processing Society, Vol.8, No.4, pp.409-420, 2001   과학기술학회마을
9 H. Pham, 'Software Reliability and Cost Models: Perspectives, Comparison, and Practice,' European Journal of Operational Research, pp.475-489, 2003   DOI   ScienceOn
10 S. S. Gokhale, T. Philip, P. N. Marinos and K. S. Trivedi, 'Unification of Finite Failure Non-Homogeneous Poisson Process Models Through Test Coverage,' Proceedings of IEEE International Symposium on Software Reliability Engineering, pp.299-307, 1996   DOI
11 Y. K. Malaiya, N. Li, J. Bieman and R. Karcich,'Software Reliability Growth with Test Coverage,' IEEE Transactions on Reliability, Vol.51, pp.420-426, 2002   DOI   ScienceOn