scholarly journals An Empirical Study on the Use of Defect Prediction for Test Case Prioritization

2019 ◽  
Author(s):  
David Paterson ◽  
Jose Campos ◽  
Rui Abreu ◽  
Gregory M. Kapfhammer ◽  
Gordon Fraser ◽  
...  
Keyword(s):  
Empirical Study ◽  
Defect Prediction ◽  
Test Case ◽  
Test Case Prioritization

A TEST CASE PRIORITIZATION BASED ON DEGREE OF RISK EXPOSURE AND ITS EMPIRICAL STUDY

2011 ◽  
Vol 21 (02) ◽  
pp. 191-209 ◽  
Author(s):  
HOIJIN YOON ◽  
BYOUNGJU CHOI
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Empirical Study ◽  
Risk Exposure ◽  
Test Case ◽  
Test Case Prioritization ◽  
Management Process ◽  
Testing Method ◽  
Risk Management Process ◽  
Prioritization Strategy

We propose a test case prioritization strategy for risk based testing, in which the risk exposure is employed as the key criterion of evaluation. Existing approaches to risk based testing typically employ risk exposure values as assessed by the tester. In contrast, we employ exposure values that have been determined by experts during the risk assessment stage of the risk management process. If a given method produces greater accuracy in fault detection, that approach is considered more valuable for software testing. We demonstrate the value of our proposed risk based testing method in this sense through its application.

Building Ant System for Multi-Faceted Test Case Prioritization

2022 ◽  
pp. 671-686
Author(s):  
Manoj Kumar Pachariya
Keyword(s):  
Experimental Study ◽  
Empirical Study ◽  
Execution Time ◽  
Optimal Solution ◽  
Time Constraints ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Ant System ◽  
Software Infrastructure

This article presents the empirical study of multi-criteria test case prioritization. In this article, a test case prioritization problem with time constraints is being solved by using the ant colony optimization (ACO) approach. The ACO is a meta-heuristic and nature-inspired approach that has been applied for the statement of a coverage-based test case prioritization problem. The proposed approach ranks test cases using statement coverage as a fitness criteria and the execution time as a constraint. The proposed approach is implemented in MatLab and validated on widely used benchmark dataset, freely available on the Software Infrastructure Repository (SIR). The results of experimental study show that the proposed ACO based approach provides near optimal solution to test case prioritization problem.

Building Ant System for Multi-Faceted Test Case Prioritization

2020 ◽  
Vol 8 (2) ◽  
pp. 23-37
Author(s):  
Manoj Kumar Pachariya
Keyword(s):  
Experimental Study ◽  
Empirical Study ◽  
Execution Time ◽  
Optimal Solution ◽  
Time Constraints ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Ant System ◽  
Software Infrastructure

This article presents the empirical study of multi-criteria test case prioritization. In this article, a test case prioritization problem with time constraints is being solved by using the ant colony optimization (ACO) approach. The ACO is a meta-heuristic and nature-inspired approach that has been applied for the statement of a coverage-based test case prioritization problem. The proposed approach ranks test cases using statement coverage as a fitness criteria and the execution time as a constraint. The proposed approach is implemented in MatLab and validated on widely used benchmark dataset, freely available on the Software Infrastructure Repository (SIR). The results of experimental study show that the proposed ACO based approach provides near optimal solution to test case prioritization problem.

scholarly journals Defect Prediction-Based Test Case Prioritization

2020 ◽  
Vol 65 (2) ◽  
pp. 78
Author(s):  
C.M. Tiutin ◽  
M.-T. Trifan ◽  
A. Vescan
Keyword(s):  
Hybrid Approach ◽  
Regression Testing ◽  
Standard Approach ◽  
Defect Prediction ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Random Test

Changes in the software necessitate confirmation testing and regression testing to be applied since new errors may be introduced with the modification. Test case prioritization is one method that could be applied to optimize which test cases should be executed first, involving how to schedule them in a certain order that detect faults as soon as possible.The main aim of our paper is to propose a test case prioritization technique by considering defect prediction as a criteria for prioritization in addition to the standard approach which considers the number of discovered faults. We have performed several experiments, considering only faults and the defect prediction values for each class. We compare our approach with random test case execution (for a theoretical example) and with the fault-based approach (for the Mockito project). The results are encouraging, for several class changes we obtained better results with our proposed hybrid approach.

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