An empirical comparison of two safe regression test selection techniques

2004 ◽  
Author(s):  
P.G. Frankl ◽  
G. Rothermel ◽  
K. Sayre ◽  
F.I. Vokolos
Keyword(s):  
Empirical Comparison ◽  
Test Selection ◽  
Regression Test Selection ◽  
Regression Test

An Empirical Comparison of t-GSC and ACO_TCSP Applied to Time Bound Regression Test Selection

2019 ◽  
Vol 12 ◽  
Author(s):  
Nishtha Jatana ◽  
Bharti Suri
Keyword(s):  
Comparative Evaluation ◽  
Regression Testing ◽  
Test Case ◽  
Empirical Comparison ◽  
Test Selection ◽  
Greedy Approach ◽  
Test Case Selection ◽  
Regression Test Selection ◽  
Case Selection ◽  
Regression Test

Background: The paper presents a comparative evaluation of two techniques for test selection. Objective: The objective is to empirically evaluate the performance of a greedy approach and a search based approach for test case selection. Method: We conducted an experiment on 24 programs in different languages. Result: The time bound greedy approach yielded best result for 16 out of the 24 programs. The ACO approach could find the best result 100% times for 11 programs and at least 30-95% times for rest 13 programs by running ACO 10 times on each program. Yet the percentage reductions achieved in the size and execution time of the resultant test suite were almost similar in both the techniques. Conclusion: The results inspire the further use of both the techniques in regression testing.

Regression test selection for Java software

2001 ◽  
Vol 36 (11) ◽  
pp. 312-326 ◽  
Author(s):  
Mary Jean Harrold ◽  
James A. Jones ◽  
Tongyu Li ◽  
Donglin Liang ◽  
Alessandro Orso ◽  
...  
Keyword(s):  
Test Selection ◽  
Regression Test Selection ◽  
Regression Test ◽  
Selection For
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