Unification of finite failure non-homogeneous Poisson process models through test coverage
- 24 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. se 14 (10719658) , 299-307
- https://doi.org/10.1109/issre.1996.558886
Abstract
A number of analytical software reliability models have been proposed for estimating the reliability growth of a software product. We present an Enhanced Non-Homogeneous Poisson Process (ENHPP) model and show that previously reported Non-Homogeneous Poisson Process (NHPP) based models, with bounded mean valve functions, are special cases of the ENHPP model. The ENHPP model differs from previous models in that it incorporates explicitly the time varying test coverage function in its analytical formulation, and provides for defective fault detection and test coverage during the testing and operational phases. The ENHPP model is validated using several available failure data sets.Keywords
This publication has 8 references indexed in Scilit:
- Test coverage dependent software reliability estimation by the HGD modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Experiments on the effectiveness of dataflow- and control-flow-based test adequacy criteriaPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Achieving software quality with testing coverage measuresComputer, 1994
- Applicability of modified condition/decision coverage to software testingSoftware Engineering Journal, 1994
- Evaluation of competing software reliability predictionsIEEE Transactions on Software Engineering, 1986
- Software Reliability Models: Assumptions, Limitations, and ApplicabilityIEEE Transactions on Software Engineering, 1985
- Software reliability analysis modelsIBM Journal of Research and Development, 1984
- Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance MeasuresIEEE Transactions on Reliability, 1979