Optimize Testing Process after Generating the Behavioral Representation of System
Gurbakash Phonsa, Kapil Kumar Bansal and Rajwinder Sidhu. Article: Optimize Testing Process after Generating the Behavioral Representation of System. IJCA Proceedings on International Conference on Communication, Computing and Information Technology ICCCMIT 2014(2):11-15, March 2015. Full text available. BibTeX
@article{key:article,
author = {Gurbakash Phonsa and Kapil Kumar Bansal and Rajwinder Sidhu},
title = {Article: Optimize Testing Process after Generating the Behavioral Representation of System},
journal = {IJCA Proceedings on International Conference on Communication, Computing and Information Technology},
year = {2015},
volume = {ICCCMIT 2014},
number = {2},
pages = {11-15},
month = {March},
note = {Full text available}
}
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.
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