Measuring and assessing software reliability growth through simulation-based approaches

Chu Ti Lin, Chin Yu Huang, Chuan-Ching Sue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In the past decade, several rate-based simulation approaches were proposed to predict software failure process. But most of them did not take the number of available debuggers into consideration and this may not be reasonable. In practice, the number of debuggers is always limited and controlled. If all debuggers or developers are busy, the new detected faults should be willing to wait (for a long time to be corrected and removed). Besides, practical experiences also show that the fault removal time is non-negligible and the number of removed faults generally lags behind the total number of detected faults. Based on these facts, in this paper, we will apply queueing theory to describe and explain the possible debugging behavior during software development. Two simulation procedures are developed based on G/G/ ∞ and G/G/m queueing models. The proposed methods will be illustrated with real software failure data. Experimental results will be analyzed and discussed in detail. The results we obtained will greatly help to understand the influence of size of debugger teams on the software failure correction activities and other related reliability assessments.

Original languageEnglish
Title of host publicationProceedings - 31st Annual International Computer Software and Applications Conference, COMPSAC 2007
Pages439-446
Number of pages8
DOIs
Publication statusPublished - 2007 Dec 31
Event31st Annual International Computer Software and Applications Conference, COMPSAC 2007 - Beijing, China
Duration: 2007 Jul 242007 Jul 27

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Other

Other31st Annual International Computer Software and Applications Conference, COMPSAC 2007
CountryChina
CityBeijing
Period07-07-2407-07-27

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications

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