History-Based Test Case Prioritization for Black Box Testing Using Ant Colony Optimization

Author(s):  
Tadahiro Noguchi ◽  
Hironori Washizaki ◽  
Yoshiaki Fukazawa ◽  
Atsutoshi Sato ◽  
Kenichiro Ota
2010 ◽  
Vol 35 (4) ◽  
pp. 1-7 ◽  
Author(s):  
Yogesh Singh ◽  
Arvinder Kaur ◽  
Bharti Suri

Author(s):  
Sudhir Kumar Mohapatra ◽  
Srinivas Prasad

Software testing is one in all the vital stages of system development. In software development, developers continually depend upon testing to reveal bugs. Within the maintenance stage test suite size grow due to integration of new functionalities. Addition of latest technique force to make new test case which increase the cost of test suite. In regression testing new test case could also be added to the test suite throughout the entire testing process. These additions of test cases produce risk of presence of redundant test cases. Because of limitation of time and resource, reduction techniques should be accustomed determine and take away. Analysis shows that a set of the test case in a suit should satisfy all the test objectives that is named as representative set. Redundant test case increase the execution price of the test suite, in spite of NP-completeness of the problem there are few sensible reduction techniques are available. During this paper the previous GA primarily based technique proposed is improved to search out cost optimum representative set using ant colony optimization.


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