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Integrable difference equations for software reliability assessment and their applications

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Abstract

This paper discusses software reliability growth models (SRGMs) based on integrable difference equations, which are derived from the original nonhomogeneous Poisson process models by using Hirota’s bilinearization methods. After that, goodness-of-fit comparisons of our discrete models with existing deterministic discrete models are performed by using actual data sets. Further, we disucss discrete optimal software release problems under simultaneous cost and reliability requirements based on our discrete SRGMs.

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Correspondence to Shigeru Yamada.

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Inoue, S., Yamada, S. Integrable difference equations for software reliability assessment and their applications. Int J Syst Assur Eng Manag 1, 5–10 (2010). https://doi.org/10.1007/s13198-010-0005-x

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