Title :
SoRel: A tool for reliability growth analysis and prediction from statistical failure data
Author :
Kanoun, K. ; Kaâniche, M. ; Laprie, J.C. ; Metge, S.
Author_Institution :
LAAS-CNRS, Toulouse, France
Abstract :
The authors present a tool for software (and hardware) reliability analysis and evaluation: SoRel. The tool implements a global method for reliability follow up and evaluation in the presence of reliability growth due to design fault removal. SoRel is composed of two parts allowing respectively application of trend tests and reliability growth models. The authors present the method, the trend tests, and the reliability growth models implemented by SoRel, show how these features can help during the validation process, and describe some functionalities of the tool.
Keywords :
software reliability; SoRel; design fault removal; reliability growth analysis; statistical failure data; trend tests; validation process; Application software; Arithmetic; Failure analysis; Hardware; Maintenance; Predictive models; Software reliability; Software testing; Software tools; System testing;
Conference_Titel :
Fault-Tolerant Computing, 1993. FTCS-23. Digest of Papers., The Twenty-Third International Symposium on
Conference_Location :
Toulouse, France
Print_ISBN :
0-8186-3680-7
DOI :
10.1109/FTCS.1993.627370