A SOFTWARE RELIABILITY GROWTH MODEL FOR VITAL QUALITY METRICS
A Non-Homogenous Poisson Process (NHPP) model whose failure intensity function has the same mathematical form as that of a generalized exponential function was proposed for application as a Software Reliability Growth Model (SRGM). However, in order to facilitate collecting quality metrics pertainin...
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| Published in: | South African journal of industrial engineering Vol. 18; no. 2; p. 93 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Bedfordview
South African Institute for Industrial Engineering
01-11-2007
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | A Non-Homogenous Poisson Process (NHPP) model whose failure intensity function has the same mathematical form as that of a generalized exponential function was proposed for application as a Software Reliability Growth Model (SRGM). However, in order to facilitate collecting quality metrics pertaining to the degree of imperfect or efficient debugging phenomena and the number of faults left in the software, in this paper the authors propose an extension to the above SRGM. This SRGM enables adequate goodness of fit statistic and predictive validity, even when the software projects witness learning phenomenon of the testing team, either imperfect or perfect or efficient software debugging phenomenon, as well as wide fluctuations in time between failures - either occurring alone or in combinations thereof. [PUBLICATION ABSTRACT] |
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| ISSN: | 1012-277X 2224-7890 |