Saidi, M. I. M. and Isa, M. A. and Jawawi, D. N. A. and Ong, L. F. (2016) A survey of software reliability growth model selection methods for improving reliability prediction accuracy. In: 9th Malaysian Software Engineering Conference, MySEC 2015, 16 December 2015 through 17 December 2015, Kuala Lumpur; Malaysia.
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Abstract
Reliability is a software quality characteristic that refer to the probability a system will work correctly over a period of time. Reliability prediction is important as it can be used to plan deployment, maintenance and test activities. This study assesses the efficiency of several techniques in software reliability model (SRM) selection and aims to find out the possible enhancement to improve software reliability accuracy. The result of the survey shows most of the SRM selection technique does not optimizes the model parameter.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | accuracy, reliability prediction, selection, software reliability |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Computing |
| ID Code: | 73265 |
| Deposited By: | Muhammad Atiff Mahussain |
| Deposited On: | 29 Nov 2017 23:58 |
| Last Modified: | 29 Nov 2017 23:58 |
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