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An Imperfect Debugging Non-Homogeneous Poisson Process Software Reliability Model Based on a 3-Parameter S-Shaped Function.
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- Author(s): Hung-Cuong, Nguyen; Quyet-Thang, Huynh
- Source:
International Journal of Software Engineering & Knowledge Engineering; Jun2024, Vol. 34 Issue 6, p869-889, 21p- Subject Terms:
- Source:
- Additional Information
- Abstract: Considering the testing process of the software system as a stochastic process is a primary approach to the software reliability modeling technique. Besides some popular distributions, the Poisson distribution has been considered the best based on its advantage when modeling the times at which arrivals enter a system. In the non-homogeneous Poisson process group of models, the S-shaped function is a value curve with many good results. This paper proposes a new imperfect debugging software reliability model based on (1) an Imperfect debugging assumption (the testing process could cause new faults); and (2) the Fault detection rate can be controlled more effectively by the appearance of a growth-rate-controller. The real data from industrial projects verify the application of this model based on good popular criteria values. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of International Journal of Software Engineering & Knowledge Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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