Automatic Test Data Generation-Achieving Optimality Using Ant-Behaviour - Volume 6 Number 2 (Feb. 2016) - ijiet
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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
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Editor-in-chief
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2016 Vol.6(2): 117-121 ISSN: 2010-3689
DOI: 10.7763/IJIET.2016.V6.669

Automatic Test Data Generation-Achieving Optimality Using Ant-Behaviour

Sumesh Agarwal, Shubham Gupta, and Nitish Sabharwal
Abstract—Software Testing is an important element in the Software Development Life Cycle which helps in the validation of the software. It should be made sure that before release, the software is free of errors and produces the desired outputs. This paper proposes a method for Behavioral Testing of a software under test (SUT) using the concept of Ant Colony Optimization for test data generation.

Index Terms—Ant colony optimization, software testing, test data, test sequence, graph coverage, behavioral testing.

The authors are with the Birla Institute of Science and Technology, Pilani, India (e-mail: agarwal.sumesh@gmail.com, shubham2490@gmail.com, nitishsab@gmail.com).

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Cite: Sumesh Agarwal, Shubham Gupta, and Nitish Sabharwal, "Automatic Test Data Generation-Achieving Optimality Using Ant-Behaviour," International Journal of Information and Education Technology vol. 6, no. 2, pp. 117-121, 2016.

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