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Testing Domain Dependent Software Reliability Growth Models
- Source :
- International Journal of Mathematical, Engineering and Management Sciences, Vol 2, Iss 3, Pp 140-149 (2017)
- Publication Year :
- 2017
- Publisher :
- International Journal of Mathematical, Engineering and Management Sciences, 2017.
-
Abstract
- Software Reliability Growth Models (SRGMs) are supporting software industries in expecting and scrutinizing quality of software. Numerous SRGMs have been proposed; majority of which concentrate on testing period of software. For testing, domain specific knowledge plays a very crucial role. Based on necessity condition, a set of programmes are in testing phase of software development. “Domain testing is a software technique in which small number of test cases is selected for trial. These sets of testing paths, all of which are to be eventually influenced by designed test cases are called the testing domain which expands with the progress of testing”. Keeping this concept in mind, we propose SRGMs with the concept of testing domain with exponential coverage. Utility of proposed framework has been emphasized in this paper through some models pertaining to different distribution i.e Exponential, Logistic, Weibull and Rayleigh. Moreover, the data analysis is performed to find the estimates of parameters by fitting the models on authentic data sets.
- Subjects :
- 021103 operations research
General Computer Science
SRGMs
Computer science
lcsh:T
General Mathematics
lcsh:Mathematics
0211 other engineering and technologies
General Engineering
02 engineering and technology
Testing domain
lcsh:QA1-939
01 natural sciences
General Business, Management and Accounting
lcsh:Technology
Domain (software engineering)
010104 statistics & probability
Computer engineering
Detection rate of faults
Distribution function
Density function
0101 mathematics
Software reliability growth
Subjects
Details
- Language :
- English
- ISSN :
- 24557749
- Volume :
- 2
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- International Journal of Mathematical, Engineering and Management Sciences
- Accession number :
- edsair.doi.dedup.....7082b51c86b2d6ba2d6f93ec83c598bc