Abstract
According to the principle, “The failure data is the basis of software reliability analysis”, we built a software reliability expert system (SRES) by adopting the artificial intelligence technology. By reasoning out the conclusion from the fitting results of failure data of a software project, the SRES can recommend users “the most suitable model” as a software reliability measurement model. We believe that the SRES can overcome the inconsistency in applications of software reliability models well. We report investigation results of singularity and parameter estimation methods of experimental models in SRES.
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Foundation item: Supported by the National Natural Science Foundation of China
Biography: XU Ren-zuo (1946-), male, Professor, research interests include software engineering software reliability engineering, software quality guarantee technology, reliability theory, software safety and security.
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Ren-zuo, X., Rui, Z. & Xiao-qing, Y. Singularity of some software reliability models and parameter estimation method. Wuhan Univ. J. Nat. Sci. 5, 035–040 (2000). https://doi.org/10.1007/BF02828304
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DOI: https://doi.org/10.1007/BF02828304
Key Words
- software reliability measurement models
- software reliability expert system
- singularity
- parameter estimation method
- path following method
- maximum likelihood ML-fitting algorithm