Skip to main navigation Skip to search Skip to main content

Analysison SRGM modeling categories and performances

  • School of Computer Science and Technology, Harbin Institute of Technology
  • School of Computer Science and Technology (School of Software), Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

In terms of the importance of SRGM (Software Reliability Growth Model) in evaluating and ensuring reliability, in order to grasp the modeling and working mechanism of SRGM, the typical process of SRGM modeling and the differences of performance in different models are studied in this article. First, the fundamental assumptions and the meaning of SRGM modeling are illustrated, and the development of SRGM is summarized. Second, the modeling processes and the relationship of two basic types of SRGM are analyzed. For the tendency of considering more real testing factors into SRGM, the SRGM modeling process relative to the imperfect debugging and TE (Testing-Effort) are discussed. Finally, the performances of 8 typical models selected are compared using 4 published failure data sets, and analyses on the differences are illustrated. The results indicate that the objective differences in different failure data sets and subjective differences in cognition of testing process by different researchers are the main causes that account for the different performances of SRGMs. Further establishing a more accurate and comprehensive SRGM and selecting excellent ones on finite failure data sets are the problems that must be solved in the future.

Original languageEnglish
Pages (from-to)171-178
Number of pages8
JournalHarbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume48
Issue number8
DOIs
StatePublished - 30 Aug 2016
Externally publishedYes

Keywords

  • Imperfect debugging
  • Measurement
  • Prediction
  • Software reliability growth model (SRGM)
  • Testing effort (TE)

Fingerprint

Dive into the research topics of 'Analysison SRGM modeling categories and performances'. Together they form a unique fingerprint.

Cite this