A software reliability model considering the syntax error in uncertainty environment, optimal release time, and sensitivity analysis

Da Hye Lee, In Hong Chang, Hoang Pham, Kwang Yoon Song

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

The goal set by software developers is to develop high quality and reliable software products. During the past decades, software has become complex, and thus, it is difficult to develop stable software products. Software failures often cause serious social or economic losses, and therefore, software reliability is considered important. Software reliability growth models (SRGMs) have been used to estimate software reliability. In this work, we introduce a new software reliability model and compare it with several non-homogeneous Poisson process (NHPP) models. In addition, we compare the goodness of fit for existing SRGMs using actual data sets based on eight criteria. The results allow us to determine which model is optimal.

Original languageEnglish (US)
Article number1483
JournalApplied Sciences (Switzerland)
Volume8
Issue number9
DOIs
Publication statusPublished - Aug 28 2018

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All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

Keywords

  • NHPP
  • Release policy
  • SRGMs
  • Software reliability
  • Syntax error

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