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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1807795


Registration ID:
185620

Page Number

498-507

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Title

A STRATEGY FOR MUTATION TESTING USING GRAVITATIONAL SEARCH ALGORITHM

Abstract

Software testing is a process of execution of the program to detect the faults in software system. It is very time consuming process. There are number of techniques available to perform software testing, mutation testing is one of such testing techniques. In mutation testing, a minor semantic change is introduced to the original code. The effectiveness of different test cases is then compared using mutation score. In the proposed work, we have generated the mutants using pymute tool available in MATLAB. It creates the mutants by replacing the algebraic sign, changing the variables and conditions. These generated mutants are tested for deviation of result from the original system under test. The test is done for each mutants for optimization using gravitational search algorithm (GSA) and simple genetic algorithm (GA).We considered this problem for the nonlinear problem of optimization. Previously genetic algorithm was used for this purpose, but it stuck into global maxima for multi objective functions. So, GSA is used for global optimization.

Key Words

Test case, Gravitational search algorithm, Mutation testing, optimization.

Cite This Article

"A STRATEGY FOR MUTATION TESTING USING GRAVITATIONAL SEARCH ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.498-507, July-2018, Available :http://www.jetir.org/papers/JETIR1807795.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A STRATEGY FOR MUTATION TESTING USING GRAVITATIONAL SEARCH ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp498-507, July-2018, Available at : http://www.jetir.org/papers/JETIR1807795.pdf

Publication Details

Published Paper ID: JETIR1807795
Registration ID: 185620
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 498-507
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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