An Evolutionary Regression Test Case Prioritization based on Dependence Graph and Genetic Algorithm for Object-Oriented Programs

2014 ◽  
Keyword(s):  
Genetic Algorithm ◽  
Object Oriented ◽  
Dependence Graph ◽  
Test Case ◽  
Test Case Prioritization ◽  
Regression Test

scholarly journals Evolutionary Cost-cognizant Test Case Selection and Prioritization for Object-Oriented Programs

2019 ◽  
Vol 8 (6S3) ◽  
pp. 149-153
Keyword(s):  
Unit Cost ◽  
Object Oriented ◽  
Arbitrary Point ◽  
Regression Testing ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Integration Testing ◽  
Maximum Benefit ◽  
Regression Test

Test case prioritization (TCP) is a software testing technique that finds an ideal ordering of test cases for regression testing, so that testers can obtain the maximum benefit of their test suite, even if the testing process is stop at some arbitrary point. The recent trend of software development uses OO paradigm. This paper proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing. Path-based integration testing will identify the possible execution path and extract these paths from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the severity detection per unit cost for each of the dependent faults. The proposed technique was known as Evolutionary Cost-Cognizant Regression Test Case Prioritization (ECRTP) and being implemented as regression testing approach for experiment.

scholarly journals A Slice-Based Change Impact Analysis for Regression Test Case Prioritization of Object-Oriented Programs

2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
S. Panda ◽  
D. Munjal ◽  
D. P. Mohapatra
Keyword(s):  
Impact Analysis ◽  
Object Oriented ◽  
Test Suite ◽  
Optimal Order ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Regression Test ◽  
Static Approach ◽  
Change Impact

Test case prioritization focuses on finding a suitable order of execution of the test cases in a test suite to meet some performance goals like detecting faults early. It is likely that some test cases execute the program parts that are more prone to errors and will detect more errors if executed early during the testing process. Finding an optimal order of execution for the selected regression test cases saves time and cost of retesting. This paper presents a static approach to prioritizing the test cases by computing the affected component coupling (ACC) of the affected parts of object-oriented programs. We construct a graph named affected slice graph (ASG) to represent these affected program parts. We determine the fault-proneness of the nodes of ASG by computing their respective ACC values. We assign higher priority to those test cases that cover the nodes with higher ACC values. Our analysis with mutation faults shows that the test cases executing the fault-prone program parts have a higher chance to reveal faults earlier than other test cases in the test suite. The result obtained from seven case studies justifies that our approach is feasible and gives acceptable performance in comparison to some existing techniques.

scholarly journals Test Case Prioritization & Selection for an Object Oriented Software using Genetic Algorithm.

2020 ◽  
Vol 9 (4) ◽  
pp. 349-354
Keyword(s):  
Genetic Algorithm ◽  
Object Oriented ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Test Case Selection ◽  
Case Selection ◽  
Selection For ◽  
The Given

In this paper our aim is to propose a Test Case Selection and Prioritization technique for OOP for ordering the test cases as per in accordance with their priority for finding the faults in the OOS. We have used the heuristic Genetic Algorithm, in order to generating the order of these prioritized test cases for a given OOS. The motive is to put a test case first into the ordered sequence that may have the highest prospective of finding an error in the given OOS & then soon..

scholarly journals Regression Test Case Selection &PrioritizationUsing Dependence Graph and Genetic Algorithm

2014 ◽  
Vol 16 (3) ◽  
pp. 38-47 ◽  
Author(s):  
Samaila Musa ◽  
◽  
Abu Bakar M. d. Sultan ◽  
Abdul Azim Abd Ghani ◽  
Salmi Baharom
Keyword(s):  
Genetic Algorithm ◽  
Dependence Graph ◽  
Test Case ◽  
Test Case Selection ◽  
Case Selection ◽  
Regression Test
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