Recent Developments in Software Reliability Modeling and its Applications

Shigeru Yamada ()
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Shigeru Yamada: Graduate School of Engineering, Tottori University

A chapter in Stochastic Reliability and Maintenance Modeling, 2013, pp 251-284 from Springer

Abstract: Abstract Management technologies for improving software reliability are very important for software total quality management (TQM). The quality characteristics of software reliability are that computer systems can continue to operate regularly without the occurrence of failures on software systems. In this chapter, we describe several recent developments in software reliability modeling and its applications as quantitative techniques for software quality/reliability measurement and assessment. That is, a quality engineering analysis of human factors affecting software reliability during the design review phase, which is the upper stream of software development, and software reliability growth models based on stochastic differential equations (SDEs) and discrete calculus during the testing-phase, which is the lower one, are discussed. Finally, we discuss quality-oriented software management analysis by applying the multivariate analysis method and the existing software reliability growth models to actual process monitoring data.

Keywords: Software Reliability Growth Models (SRGM); Monitoring Data Processing; Stochastic Differential Equations (SDE); NHPP Models; Exponential SRGM (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-4971-2_12

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DOI: 10.1007/978-1-4471-4971-2_12

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