A latent‐factor self‐exciting point process for software failures

Software debugging is the process of detecting and removing bugs during software development. Although the intent of modifications to the software is to remove bugs, one cannot rule out the possibility of introducing new bugs as a result of these modifications. We consider a self‐exciting point proc...

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Bibliographic Details
Published in:Naval research logistics 2023-09, Vol.70 (6), p.584-600
Main Authors: Ay, Atilla, Landon, Joshua, Ruggeri, Fabrizio, Soyer, Refik
Format: Article
Language:English
Subjects:
Debugging
Failures
imperfect debugging
Markov chain Monte Carlo
Reliability
reliability growth
self‐exciting point process
Software development
Software reliability
software testing
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Summary:Software debugging is the process of detecting and removing bugs during software development. Although the intent of modifications to the software is to remove bugs, one cannot rule out the possibility of introducing new bugs as a result of these modifications. We consider a self‐exciting point process, which can incorporate the case of reliability deterioration due to the potential introduction of new bugs to the software during the development phase. In order to account for the unobservable process of introducing bugs, latent variables are incorporated into the self‐exciting point process models. The models are then applied to two data sets in software reliability and additional insights that can be obtained from these models are discussed. Our results suggest that the self‐exciting processes with latent factors perform better than the standard point process models in describing the behavior of software failures during the debugging process.
ISSN:0894-069X
1520-6750
DOI:10.1002/nav.22107