Test Case Prioritization using Ant Colony Optimization
| dc.contributor.author | Kaur, Pawanpreet Kaur | |
| dc.contributor.supervisor | Kumar, Rajesh | |
| dc.date.accessioned | 2012-08-20T11:29:29Z | |
| dc.date.available | 2012-08-20T11:29:29Z | |
| dc.date.issued | 2012-08-20T11:29:29Z | |
| dc.description.abstract | Regression testing is primarily a maintenance activity that is performed frequently to ensure the validity of the modified software. In such cases, due to time and cost constraints, the entire test suite cannot be run. Thus, it becomes essential to prioritize the test cases in order to cover maximum statement coverage in minimum time. In order to solve time constraint, Test Case Prioritization Problem Ant Colony Optimization (ACO) is being used. Ant Colony Optimization is a meta-heuristic approach that has been applied for time constraint, test case prioritization problem considering the statement coverage and execution time of each test case. This work presents the regression test case prioritization technique that reorders test cases in a test suite in a time constraint environment. Simulation using MATLAB has also been done which gives near optimal solutions. | en |
| dc.format.extent | 1116359 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/10266/1883 | |
| dc.subject | Test Suite | en |
| dc.subject | Test Case Prioritization | en |
| dc.title | Test Case Prioritization using Ant Colony Optimization | en |
| dc.type | Thesis | en |