OPTIMIZATION USING DIFFERENT CRITERION FOR TEST CASE SELECTION IN REGRESSION TESTING
Main Article Content
Abstract
Modification in the software can cause the breaking of the previously verified functionalities of the system, causing the regression faults. One of the regression testing approaches is to rerun existing test cases. But this leads potentially costly task. Cost minimization can be carried out by optimization of testing effort by executing only a selected subset of test cases that believed to have a better chance of revealing faults. This proposes an approach for selecting and ordering a predetermined number of test cases from existing test cases. These are then prioritized using a greedy algorithm that maximizes minimum coverage in an iterative manner. The proposed approach would provide more consistency compared to existing approaches. TheIndividual running times of the test cases and total time required for the approach is providing better results than the existing system.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.