e-ISSN : 0975-4024 p-ISSN : 2319-8613   
CODEN : IJETIY    

International Journal of Engineering and Technology

Home
IJET Topics
Call for Papers 2021
Author Guidelines
Special Issue
Current Issue
Articles in Press
Archives
Editorial Board
Reviewer List
Publication Ethics and Malpractice statement
Authors Publication Ethics
Policy of screening for plagiarism
Open Access Statement
Terms and Conditions
Contact Us

ABSTRACT

ISSN: 0975-4024

Title : STRUCTURAL SOFTWARE TESTING: HYBRID ALGORITHM FOR OPTIMAL TEST SEQUENCE SELECTION DURING REGRESSION TESTING
Authors : J. Albert Mayan, T. Ravi
Keywords : Regression Testing, Test-Case Selection, Hybrid Algorithm, Tabu Search Algorithm
Issue Date : Feb-Mar 2015
Abstract :
Regression testing is one of the testing methods, which is done to ensure that the changes made in fixes or any improvement changes does not affect the previously developed functionality of the software. When modification is done to an application, the newly added features had to be tested along with the already available features to ensure that the modification at one part of the program does not have any adverse effect on other parts of the application. Test coverage must be enhanced without conciliation of timelines. Thus, the test case generation and test case selection play an important role in the SUT (Software Under Test). Many techniques are proposed to overcome these issues however those techniques could not achieve complete code coverage within the less time duration. In this paper we have proposed a hybrid algorithm which is used to generate an optimal test case selection sequence as well as new test case generation technique for regression testing. The experimental results obtained by our proposed approach shows better results compared to other approaches.
Page(s) : 270-279
ISSN : 0975-4024
Source : Vol. 7, No.1