z-logo
open-access-imgOpen Access
Meta Heuristic Search Technique for Dynamic Test Case Generation
Author(s) -
M. S.GeethaDevasena,
M. L. Valarmathi
Publication year - 2012
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/4869-7294
Subject(s) - computer science , heuristic , meta heuristic , test (biology) , information retrieval , data mining , artificial intelligence , algorithm , paleontology , biology
Software testing is an inevitable activity of software development which is crucial to the software quality and consumes approximately 50% of the software development cost. Test case design is the most important activity in testing which determines software quality. The program with the moderate complexity cannot be tested completely but verified only for input situations selected as test data. Innovative methods are emerging to perform testing as a whole and unit testing in particular with minimum effort and time. Unit testing is mostly done by developers under a lot of schedule pressure since the software companies find a compromise among functionality, time to market and quality. Thus there is a need for reducing unit testing time by optimizing and automating the process. Test suite generation is an errorprone, tedious and time consuming part of unit testing. A novel technique is proposed to automatically generate test cases from the input domain using meta heuristic search technique scatter search for branch coverage criteria with respect to cyclomatic complexity measure.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom