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Optimize Testing Process after Generating the Behavioral Representation of System

Published on March 2015 by Gurbakash Phonsa, Kapil Kumar Bansal, Rajwinder Sidhu
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International Conference on Communication, Computing and Information Technology
Foundation of Computer Science USA
ICCCMIT2014 - Number 2
March 2015
Authors: Gurbakash Phonsa, Kapil Kumar Bansal, Rajwinder Sidhu
79f51871-f952-4ff6-9758-a7d830d9cb1d

Gurbakash Phonsa, Kapil Kumar Bansal, Rajwinder Sidhu . Optimize Testing Process after Generating the Behavioral Representation of System. International Conference on Communication, Computing and Information Technology. ICCCMIT2014, 2 (March 2015), 11-15.

@article{
author = { Gurbakash Phonsa, Kapil Kumar Bansal, Rajwinder Sidhu },
title = { Optimize Testing Process after Generating the Behavioral Representation of System },
journal = { International Conference on Communication, Computing and Information Technology },
issue_date = { March 2015 },
volume = { ICCCMIT2014 },
number = { 2 },
month = { March },
year = { 2015 },
issn = 0975-8887,
pages = { 11-15 },
numpages = 5,
url = { /proceedings/icccmit2014/number2/19772-7015/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication, Computing and Information Technology
%A Gurbakash Phonsa
%A Kapil Kumar Bansal
%A Rajwinder Sidhu
%T Optimize Testing Process after Generating the Behavioral Representation of System
%J International Conference on Communication, Computing and Information Technology
%@ 0975-8887
%V ICCCMIT2014
%N 2
%P 11-15
%D 2015
%I International Journal of Computer Applications
Abstract

The generation of test cases is the most challenging part of software testing phase for the software tester. Test cases are such that as it unable the detection of errors. To determine how much software testing is enough is a difficult job. Testing is advisable to identify the risk against the cost of additional testing effort. To assign priorities to test cases will guarantee that the main tests have been done. The main objective of software testing is to identify defects and correcting those defects improves Software Quality. This paper represents a noble approach to automatic generation of test cases. In this approach, UML sequence diagram is the source to generate the test cases by convert it to sequence diagram graph to further generate the test paths. Then the test paths are prioritizing by using the Genetic Algorithm along with Tabu Search Algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Uml Sequence Diagram Genetic Algorithm Tabu Search Algorithm Software Testing Test Case Generation.