Name
Title | ||
|---|---|---|
An effective approach for determining the class integration test order using reinforcement learning. |
Abstract | ||
|---|---|---|
•A novel approach to class integration test ordering optimization is proposed.•A reinforcement learning approach is introduced for solving the CITO problem.•The experimental evaluation is performed on four synthetic examples and on six software systems.•The obtained results outperform most existing methods for solving the CITO problem. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2018.01.042 | Applied Soft Computing |
Keywords | Field | DocType |
68M15,68N30,68T05 | Integration testing,Software system,Artificial intelligence,Component-based software engineering,Machine learning,Mathematics,Reinforcement learning,Software testing | Journal |
Volume | ISSN | Citations |
65 | 1568-4946 | 1 |
PageRank | References | Authors |
0.37 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriela Czibula | 1 | 80 | 19.53 |
| István Gergely Czibula | 2 | 91 | 11.79 |
| Zsuzsanna Marian | 3 | 42 | 3.71 |