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A NHPP based software reliability model and optimal release policy with logistic–exponential test coverage under imperfect debugging

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Abstract

Software reliability models are used to estimate and predict the reliability, number of remaining faults, failure intensity, total software development cost, etc., of a software. Testing coverage is very important for both software developers and customers of software products. Testing converge is a measure that enables software developers to evaluate the quality of tested software and determine how much additional effort is needed to improve the reliability of the software. This paper proposes a software reliability growth model based on a non-homogeneous Poisson process (NHPP) that incorporates a logistic–exponential testing coverage function with imperfect debugging. The proposed model relates the test coverage to fault detection phenomena in debugging. Goodness-of-fit test of the proposed model is conducted using different criteria for two sets of software failure data. The proposed model is compared with other existing NHPP models. A software cost model incorporating testing coverage and an optimal release policy based on the number of remaining faults are developed.

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Acknowledgments

Authors acknowledge Indian School of Mines, Dhanbad, India, for providing necessary facilities for this work. Also, authors are thankful to reviewers for their valuable suggestion to improve the paper.

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Authors and Affiliations

  1. Department of Applied Mathematics, ISM, Dhanbad, 826004, India

    S. Chatterjee & J. B. Singh

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  1. S. Chatterjee
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  2. J. B. Singh
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Correspondence to S. Chatterjee.

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Chatterjee, S., Singh, J.B. A NHPP based software reliability model and optimal release policy with logistic–exponential test coverage under imperfect debugging. Int J Syst Assur Eng Manag 5, 399–406 (2014). https://doi.org/10.1007/s13198-013-0181-6

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  • DOI: https://doi.org/10.1007/s13198-013-0181-6

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