An Approach to Mutation Testing with Automated Debugging Tools for Software Testing

Authors

  • Rajalakshmi S  Research Scholar, BCA, Department of Computer Science, M.O.P. Vaishnav College for Women, Chennai, Tamil Nadu, India
  • Aathira P  Associate Professor, BCA, Department of Computer Science, M.O.P. Vaishnav College for Women, Chennai, Tamil Nadu, India
  • Sakthi Kumaresh  

Keywords:

Employee attrition, Supervised learning, Logit transformation, Non-parametric, Chi-Square, Gradient descent

Abstract

Debugging is an extremely difficult and time consuming task in software testing. Individuals have put in a great deal of effort in creating automated tools and techniques for supporting different debugging tasks. Most techniques that are in current practice focus on picking subsets of possibly erroneous statements and prioritizing them based on some standard. A program faces a failure in certain circumstances. The overall objective of this study is to examine how software developers/testers utilize and attain benefit from these automated tools. We also perceive on possible directions for future work in the zone of automated debugging and try to combine automated debugging techniques (designed based on delta debugging algorithm) and mutation testing with a specific end goal to lessen the measure of cost and time involved in the Software Testing phase.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rajalakshmi S, Aathira P, Sakthi Kumaresh, " An Approach to Mutation Testing with Automated Debugging Tools for Software Testing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1842-1847, January-February-2018.