scholarly journals An Ant Colony Algorithm to Prioritize the Regression Test Cases of Object-Oriented Programs

2016 ◽  
Vol 9 (19) ◽  
Author(s):  
Mohapatra Sudhir Kumar ◽  
Prasad Srinivas
Keyword(s):  
Ant Colony Algorithm ◽  
Object Oriented ◽  
Ant Colony ◽  
Test Cases ◽  
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 Test Case Reduction Using Ant Colony Optimization for Object Oriented Program

2015 ◽  
Vol 5 (6) ◽  
pp. 1424
Author(s):  
Sudhir Kumar Mohapatra ◽  
Srinivas Prasad
Keyword(s):  
Ant Colony Optimization ◽  
System Development ◽  
Object Oriented ◽  
Ant Colony ◽  
Test Suite ◽  
Test Case ◽  
Test Cases ◽  
Reduction Techniques ◽  
Maintenance Stage ◽  
The Cost

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.

Study of Test Cases Prioritization Based on Ant Colony Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2168-2172
Author(s):  
Lu Lu Chen ◽  
Ling Zhang
Keyword(s):  
Ant Colony Algorithm ◽  
Regression Testing ◽  
Time Limit ◽  
Ant Colony ◽  
Test Suite ◽  
Test Cases ◽  
Optimal Sequence ◽  
Effectiveness And Efficiency ◽  
Important Activity

Regression testing is an important activity to ensure the quality of software. In order to improve the efficiency of regression testing, in this paper, the author proposes to reorder test suite based on ant colony algorithm in regression testing, and compare the result with other common sort results. Through experiment, it shows that the method can get the optimal sequence of test cases under the time limit and it has been proven a superior method in both effectiveness and efficiency for test cases prioritization.

IMPROVING CLASS FIREWALL REGRESSION TEST SELECTION BY REMOVING THE CLASS FIREWALL

2007 ◽  
Vol 17 (03) ◽  
pp. 359-378 ◽  
Author(s):  
MATS SKOGLUND ◽  
PER RUNESON
Keyword(s):  
Empirical Studies ◽  
Object Oriented ◽  
Test Cases ◽  
Detection Capability ◽  
Testing Technique ◽  
Test Selection ◽  
Selection Technique ◽  
Testing Environment ◽  
Regression Test Selection ◽  
Regression Test

One regression test selection technique proposed for object-oriented programs is the Class firewall regression test selection technique. The selection technique selects test cases for regression test, which test changed classes and classes depending on changed classes. However, in empirical studies of the application of the technique, we observed that another technique found the same defects, selected fewer tests and required a simpler, less costly, analysis. The technique, which we refer to as the Change-based regression test selection technique, is basically the Class firewall technique, but with the class firewall removed. In this paper we formulate a hypothesis stating that these empirical observations are not incidental, but an inherent property of the Class firewall technique. We prove that the hypothesis holds for Java in a stable testing environment, and conclude that the effectiveness of the Class firewall regression testing technique can be improved without sacrificing the defect detection capability of the technique, by removing the class firewall.

Regression Test Cases selection for Object-Oriented Programs based on Affected Statements

2015 ◽  
Vol 9 (10) ◽  
pp. 91-108 ◽  
Author(s):  
Samaila Musa ◽  
Abu Bakar Md Sultan ◽  
Abdul Azim Bin Abd-Ghani ◽  
Salmi Baharom
Keyword(s):  
Object Oriented ◽  
Test Cases ◽  
Regression Test ◽  
Selection For

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 An approach to prioritize the regression test cases of object-oriented programs

2013 ◽  
Vol 1 (2) ◽  
pp. 159-173 ◽  
Author(s):  
Chhabi Rani Panigrahi ◽  
Rajib Mall
Keyword(s):  
Object Oriented ◽  
Test Cases ◽  
Regression Test
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