CFP last date
15 May 2024
Call for Paper
June Edition
IJAIS solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 15 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Analysis of ANN Training Algorithms for Hand Geometry-Based Access Control

Kazeem B. Adedeji Apena Waliu O. Adu Michael R.
Random Articles
Reseach Article

Search based Software Testing Technique for Structural Test Case Generation

by M. S. Geetha Devasena, M. L. Valarmathi
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 6
Year of Publication: 2012
Authors: M. S. Geetha Devasena, M. L. Valarmathi
10.5120/ijais12-450185

M. S. Geetha Devasena, M. L. Valarmathi . Search based Software Testing Technique for Structural Test Case Generation. International Journal of Applied Information Systems. 1, 6 ( February 2012), 20-25. DOI=10.5120/ijais12-450185

@article{ 10.5120/ijais12-450185,
author = { M. S. Geetha Devasena, M. L. Valarmathi },
title = { Search based Software Testing Technique for Structural Test Case Generation },
journal = { International Journal of Applied Information Systems },
issue_date = { February 2012 },
volume = { 1 },
number = { 6 },
month = { February },
year = { 2012 },
issn = { 2249-0868 },
pages = { 20-25 },
numpages = {9},
url = { https://www.ijais.org/archives/volume1/number6/98-0185/ },
doi = { 10.5120/ijais12-450185 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:41:37.778883+05:30
%A M. S. Geetha Devasena
%A M. L. Valarmathi
%T Search based Software Testing Technique for Structural Test Case Generation
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 1
%N 6
%P 20-25
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software testing is an important activity in the software development life cycle and it is widely used validation approach in software industry, deployed by programmers and testers. The program with the moderate complexity cannot be tested completely. Innovative methods are needed 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 error-prone, tedious and time consuming part of unit testing. Two techniques are proposed to automatically generate test cases from the input domain using scatter search and tabu search for branch coverage criteria with respect to cyclomatic complexity measure.

References
  1. Chilenski1, John Joseph Chilenski and Steven P. Miller, 1994. ‘Applicability of Modified Condition/Decision Coverage to Software Testing’, Software Engineering Journal Vol. 9, No. 5, pp.193-200.
  2. Edvardson, J. 1999. ‘A Survey on Automatic Test data generation’, In proceedings of the second conference on computer science and engineering Vol.2, No.1, pp.343-351.
  3. Eugenia Diaz, Javier Tuya, Raquel Blanco, Jose Javier Dolado, 2008. ‘A tabu search algorithm for structural software testing’, Computers and Operations Research Vol. 14, No. 3, pp.38-69.
  4. Ferguson and Korel, B. 1966. ‘The chaining approach for software test data generation’, ACMTOSEM vol. 5, pp.63-86.
  5. Glover, F. 1989. ‘Tabu search: part I’, ORSA Journal on Computing, Vol. 3, No.1,pp.190-206.
  6. Glover, F. 1990. ‘Tabu search: part II’, ORSA Journal on Computing, Vol. 4, No. 2, pp.4–32.
  7. Howden, W.E. 1977. ‘Symbolic testing and the DISSECT symbolic evaluation system’, IEEE Transactions on Software Engineering vol.3, no. 4, pp. 266-278.
  8. John Clarke, Mark Harman, Bryan Jones. 2000. ‘The Application of Metaheuristic Search techniques to Problems in Software Engineering’, IEEE Computer Society Press Vol.42, No.1, pp.247-254.
  9. Lindquist, T.E. and Jenkins, J.R. 1998.‘Test-case generation with IOGen’, IEEE Software vol.5, no.1,pp. 72-79.
  10. Lin, Yeh, P.L. 2001. ‘Automatic test data generation for path testing using Gas’, Information Sciences Vol. 4, No.13, pp. 47-64.
  11. McCabe, Tom, 1976. ‘A Software Complexity Measure’, IEEE Trans. Software Eng Vol.2, No.6, pp.308-320.
  12. McMinn, p. 2004. ‘Search Based Software Test Data Generation:A survey’, Journal on Software Testing, Verification, and Reliability vol.14, no.2, pp.105-156.
  13. Raquel Blanco , Javier Tuya , Belarmino Adenso-Díaz. 2009. ‘Automated test data generation using a scatter search approach’, Information and Software Technology Vol. 51, No.1, pp. 708-720.
  14. Tao Feng, Kasturi Bidarkar. 2008. ‘A Survey of Software Testing Methodology’ vol.25, no-3, pp.216-226.
  15. Voas, J.M, Morell, J. and Miller, K.W. 1991. ‘Predicting where faults can hide from testing’, IEEE vol: 8, pp, 41-48.
  16. Wegener, Baresel DeMillo RA, Offutt, A.J. 1991. ‘Constraint-based automatic test data generation’ IEEE Transactions on Software Engineering Vol.17.
Index Terms

Computer Science
Information Sciences

Keywords

Software testing Unit testing Branch Coverage Criteria tabu search Scatter Search

Powered by PhDFocusTM