DocumentCode :
3337274
Title :
A non-homogeneous Markov software reliability model with imperfect repair
Author :
Gokhale, Swapna S. ; Philip, Teebu ; Marinos, Peter N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fYear :
1996
fDate :
4-6 Sep 1996
Firstpage :
262
Lastpage :
270
Abstract :
This paper reviews existing non-homogeneous Poisson process (NHPP) software reliability models and their limitations, and proposes a more powerful non-homogeneous Markov model for the fault detection/removal problem. In addition, this non-homogeneous Markov model allows for the possibility of a finite time to repair a fault and for imperfections in the repair process. The proposed scheme provides the basis for decision making both during the testing and the operational phase of the software product. Software behavior in the operational phase and the development test phase are related and the release time formulae are derived. Illustrations of the proposed model are provided
Keywords :
Markov processes; software reliability; fault detection/removal problem; imperfect repair; non-homogeneous Markov software reliability model; release time formulae; software behavior; Aerospace electronics; Banking; Computer industry; Costs; Decision making; Electrical fault detection; Laboratories; Production; Software reliability; Software testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Performance and Dependability Symposium, 1996., Proceedings of IEEE International
Conference_Location :
Urbana-Champaign, IL
ISSN :
1087-2191
Print_ISBN :
0-8186-7484-9
Type :
conf
DOI :
10.1109/IPDS.1996.540227
Filename :
540227
Link To Document :
بازگشت