A Framework to Support Research in and Encourage Industrial Adoption of Regression Testing Techniques

2012 ◽  
Author(s):  
Jonathan Miller Kauffman ◽  
Gregory M. Kapfhammer
Keyword(s):  
Regression Testing ◽  
Testing Techniques ◽  
Industrial Adoption ◽  
Support Research

Understanding the effects of changes on the cost-effectiveness of regression testing techniques

2003 ◽  
Vol 13 (2) ◽  
pp. 65-83 ◽  
Author(s):  
Sebastian Elbaum ◽  
Praveen Kallakuri ◽  
Alexey Malishevsky ◽  
Gregg Rothermel ◽  
Satya Kanduri
Keyword(s):  
Cost Effectiveness ◽  
Regression Testing ◽  
Testing Techniques ◽  
The Cost

scholarly journals An Efficient Regression Testing By Computing Coverage Data For Software Evolution

2012 ◽  
pp. 176-179
Author(s):  
Machani SivaPrasad
Keyword(s):  
Software Evolution ◽  
Regression Testing ◽  
Test Suite ◽  
Software Systems ◽  
Test Cases ◽  
Dataflow Analysis ◽  
New Approach ◽  
Testing Techniques ◽  
Test Suit ◽  
Execution Tracing

Software systems is evolve continuously during development and maintenance. After software is modified regression testing is applied to software to ensure that It behaves intended and modifications not negatively impacts its original functionality .It is time consuming to rerun test suite T of program Pi on modified program Pi+1.So there are many regression testing techniques are there for doing regression testing. These are based on coverage data. So computing coverage data for Pi+1 without rerunning all test cases is the problem for doing regression testing of program Pi+1.This paper proposed a new approach that computes coverage data with selecting test cases T’ for the subsequent versions of the software .By computing coverage data for subsequent version of software on without rerunning entire test suit T we can improve overall time taken to retest the evolving software using Regression testing. This paper focus on improving the performance of regression testing for software evolve continuously during maintenance, by implementing a new approach for regression testing by computing coverage data for evolving software using dataflow analysis and execution tracing .

ComboRT: A New Approach for Generating Regression Test Cases for Evolving Programs

2016 ◽  
Vol 26 (06) ◽  
pp. 1001-1026 ◽  
Author(s):  
Xiaobing Sun ◽  
Xin Peng ◽  
Hareton Leung ◽  
Bin Li
Keyword(s):  
Impact Factor ◽  
Regression Testing ◽  
Software Systems ◽  
Test Case ◽  
Test Cases ◽  
Test Case Selection ◽  
Case Selection ◽  
Testing Techniques ◽  
The Impact ◽  
Ranked List

Regression testing is essential to ensure software quality during software evolution. Two widely-used regression testing techniques, test case selection and prioritization, are used to maximize the value of the continuously enlarging test suite. However, few works consider both these two techniques together, which decreases the usefulness of the independently studied techniques in practice. In the presence of changes during program evolution, regression testing is usually conducted by selecting the test cases that cover the impact results of the changes. It seldom considers the false-positives in the information covered. Hence, the effectiveness of such regression testing techniques is decreased. In this paper, we propose an approach, ComboRT, which combines test case selection and prioritization together to directly generate a ranked list of test cases. It is based on the impact results predicted by the change impact analysis (CIA) technique, FCA–CIA, which generates a ranked list of impacted methods. Test cases which cover these impacted methods are included in the new test suite. As each method predicted by FCA–CIA is assigned with an impact factor value corresponding to the probability of this method to be impacted, test cases are then ordered according to the impact factor values of the impacted methods. Empirical studies on four Java based software systems demonstrate that ComboRT can be effectively used for regression testing in object-oriented Java-based software systems during their evolution.

STUDI ALGORITMA babelRTS UNTUK PELAKSANAAN REGRESSION TEST SELECTION (RST)

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Ani - Rahmani
Keyword(s):  
Execution Time ◽  
Regression Testing ◽  
Test Case ◽  
Test Cases ◽  
Test Selection ◽  
Test Execution ◽  
Regression Test Selection ◽  
Regression Test ◽  
Long Time ◽  
Testing Techniques

Software testing (testing) is a crucial stage in software development. The success of the testing process will ensure the quality of the software. In the regression testing process, one issue is that not all test cases (retest all) in the test suite need to be executed. Retest all will consume massive resources, as well as a long time. Regression testing techniques seek to find ways to reduce test execution time. One of the regression testing techniques is test case selection, also known as regression test selection (RTS). This paper describes a study on babelRTS, an RTS algorithm, to see its effectiveness. Effectiveness is measured by comparing the execution time of the execution retest all and babelRTS. Experiments were carried out on five software under tests (SUT) that had some faults. Test cases are prepared by designing for each SUT. The results showed a reduction in time so that the effectiveness reached a maximum of 32%, and average of 23% .

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