Open AccessResearch on use of Nature Inspired Algorithms in Software Testing
Author(s) -
Sanjeev Sharma,
S.A.M Rizvi,
Vineet Sharma
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2573.0981119
Subject(s) - computer science , software testing , software reliability testing , software quality , software construction , software , verification and validation , software engineering , software development , trustworthiness , test strategy , regression testing , system integration testing , software performance testing , reliability engineering , programming language , engineering , computer security , operations management
The intention behind software testing is discovering defects in the developed software, making it error-free, robust and trustworthy. A large quantum of total efforts in the development of software is done on software testing. These efforts may include time, cost and most importantly manpower. The number of efforts required in software testing may be reduced if test data is generated automatically, without trade off the quality of the developed software. In literature, various nature inspired algorithms are used for the optimization of the software testing process. This article is a brief study on the applications of nature inspired algorithms in software testing. To keep the study succinct this study considers only two widely used testing types, structural and functional testing and literature available, since 2010 by considering only SCI or SCOPUS indexed publications.