Software Reliability Models: Concepts, Classification, Comparisons, and Practice

1983 ◽  
pp. 395-423 ◽  
Author(s):  
John D. Musa ◽  
Kazuhira Okumoto
Keyword(s):  
Software Reliability ◽  
Reliability Models ◽  
Software Reliability Models

Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System

2021 ◽  
Author(s):  
Milos Milovancevic ◽  
Aleksandar Dimov ◽  
Kamen Boyanov Spasov ◽  
Ljubomir Vračar ◽  
Miroslav Planić
Keyword(s):  
Software Reliability ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Fuzzy Evaluation ◽  
Inference System ◽  
Reliability Models ◽  
Software Reliability Models ◽  
Neuro Fuzzy

Unification of Software Reliability Models by Self-Exciting Point Processes

1997 ◽  
Vol 29 (2) ◽  
pp. 337-352 ◽  
Author(s):  
Yiping Chen ◽  
Nozer D. Singpurwalla
Keyword(s):  
Software Reliability ◽  
Point Processes ◽  
Computer Software ◽  
Probability Models ◽  
Reliability Models ◽  
Common Structure ◽  
Software Reliability Models ◽  
Special Cases ◽  
Active Debate ◽  
The Subject

Assessing the reliability of computer software has been an active area of research in computer science for the past twenty years. To date, well over a hundred probability models for software reliability have been proposed. These models have been motivated by seemingly unrelated arguments and have been the subject of active debate and discussion. In the meantime, the search for an ideal model continues to be pursued. The purpose of this paper is to point out that practically all the proposed models for software reliability are special cases of self-exciting point processes. This perspective unifies the very diverse approaches to modeling reliability growth and provides a common structure under which problems of software reliability can be discussed.

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