A COMPARATIVE STUDY OF POPULATION BASED META-HEURISTIC TECHNIQUES FOR VARIOUS APPLICATIONS IN SOFTWARE TESTING

Software testing is a process of evaluating the functionality of different software applications intending to find the errors and defects to ensure that the product is error and bug free so that a good quality software product can be achieved. It should also satisfies all the requirements as specifi...

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Bibliographic Details
Published inActa Technica Corvininesis Vol. 13; no. 2; pp. 143 - 146
Main Authors Nandal, Deepak, Sangwan, Prakash Om, Vikas, Nandal
Format Journal Article
LanguageEnglish
Published Hunedoara Faculty of Engineering Hunedoara 01.04.2020
Subjects
Algorithms
Applications programs
Comparative studies
Heuristic
Heuristic methods
Literature reviews
Optimization
Optimization techniques
Population
Population-based studies
Product development
Software engineering
Software quality
Software testing
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Summary:Software testing is a process of evaluating the functionality of different software applications intending to find the errors and defects to ensure that the product is error and bug free so that a good quality software product can be achieved. It should also satisfies all the requirements as specified by the vender at the time of finalizing the SRS. This testing process tests the entire software with a sole objective of to produce a quality software. The quality will be compromised if the software product has bugs. The selection of testing data for the same is very crucial. Different population based meta-heuristic techniques are implemented for the automation and optimization of selection of the test data. There are some meta-heuristic techniques that are used in the field of engineering for optimization problems. This paper produces a comparative study of different researches that uses the meta-heuristic techniques in the field of software testing.
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ISSN:2067-3809