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An imperfect-debugging fault-detection dependent-parameter software

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Abstract

Software reliability growth models (SRGMs) incorporating the imperfect debugging and learning phenomenon of developers have recently been developed by many researchers to estimate software reliability measures such as the number of remaining faults and software reliability. However, the model parameters of both the fault content rate function and fault detection rate function of the SRGMs are often considered to be independent from each other. In practice, this assumption may not be the case and it is worth to investigate what if it is not. In this paper, we aim for such study and propose a software reliability model connecting the imperfect debugging and learning phenomenon by a common parameter among the two functions, called the imperfect-debugging fault-detection dependent-parameter model. Software testing data collected from real applications are utilized to illustrate the proposed model for both the descriptive and predictive power by determining the non-zero initial debugging process.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Rutgers University, New Jersey, NJ, 08855-8018, USA

    Hoang Pham

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  1. Hoang Pham
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Correspondence to Hoang Pham.

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Hoang Pham received the M.S. degree in statistics from the University of Illinois, Urbana Champaign, and the M.S. and Ph.D. degrees in industrial engineering from State University of New York at Buffalo. He is a professor and chairman of the undergraduate program with the Department of Industrial and Systems Engineering at Rutgers University, Piscataway, New Jersey. Before joining Rutgers, he was a senior engineering specialist with the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. He is the author of two books: Software Reliability (Springer-Verlag, 2000) and System Software Reliability (Springer, 2006); the coauthor of the book: Reliability and Optimal Maintenance (Springer, 2006); the editor of the Handbook of Reliability Engineering (Springer-Verlag, 2003); and Handbook of Engineering Statistics (Springer, 2006) among many others. He is also the editor of Springer Series in Reliability Engineering and has published more than 90 journal articles, 25 book chapters, and the editor of ten volumes. He is the editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering and is an editorial board member of several journals. He has been the conference chair and program chair of over 25 international conferences and workshops, and is currently the conference chair of The 13th International Conference on Reliability and Quality in Design, Seattle, 2007. He is an associate editor of IEEE Transactions on Systems, Man, and Cybernetics.

His research interests include software reliability, system reliability modeling, maintenance, and environmental risk assessment.

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Pham, H. An imperfect-debugging fault-detection dependent-parameter software. Int J Automat Comput 4, 325–328 (2007). https://doi.org/10.1007/s11633-007-0325-8

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  • DOI: https://doi.org/10.1007/s11633-007-0325-8

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