Open AccessTesting Domain Dependent Software Reliability Growth Models
Author(s) -
Deepika,
Ompal Singh,
Adarsh Anand,
Jyotish N. P. Singh
Publication year - 2017
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2017.2.3-013
Subject(s) - computer science , software reliability testing , risk based testing , software quality , weibull distribution , non regression testing , reliability engineering , domain (mathematical analysis) , regression testing , software , domain engineering , data mining , software development , software construction , statistics , mathematics , engineering , mathematical analysis , programming language
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.