DocumentCode :
3527646
Title :
Evolutionary Search Algorithms for Test Case Prioritization
Author :
Mohapatra, S.K. ; Prasad, Santasriya
Author_Institution :
SOA Univ., Bhubaneswar, India
fYear :
2013
fDate :
21-23 Dec. 2013
Firstpage :
115
Lastpage :
119
Abstract :
To improve the effectiveness of certain performance goals, test case prioritization techniques are used. These technique schedule the test cases in particular order for execution so as to increase the efficacy in meeting the performance goals. For every change in the program it is considered inefficient to re-execute each and every test case. Test case prioritization techniques arrange the test cases within a test suite in such a way that the most important test case is executed first. This process enhances the effectiveness of testing. This algorithm during time constraint execution has been shown to have detected maximum number fault while including the sever test cases.
Keywords :
evolutionary computation; program testing; search problems; software fault tolerance; evolutionary search algorithms; fault; performance goals; test case prioritization techniques; test cases schedule; test suite; testing effectiveness; time constraint execution; Algorithm design and analysis; Fault detection; Genetic algorithms; Sociology; Software; Statistics; Testing; Genetic algorithm; Regression testing; Test case; prioritization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
Conference_Location :
Katra
Type :
conf
DOI :
10.1109/ICMIRA.2013.29
Filename :
6918806
Link To Document :
بازگشت