RAMBUTANS: automatic AOP-specific test generation tool
Aspect-oriented programming (AOP) is a programmatic methodology to handle better modularized code by separating crosscutting concerns from the traditional abstraction boundaries. Automated testing, as one of the most demanding needs of the software development to reduce both human effort and costs,...
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| Format: | Article |
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Springer
2016
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| author | Parizi, Reza Meimandi Abdul Ghani, Abdul Azim Lee, Sai Peck Khan, Saif Ur Rehman |
| author_facet | Parizi, Reza Meimandi Abdul Ghani, Abdul Azim Lee, Sai Peck Khan, Saif Ur Rehman |
| author_sort | Parizi, Reza Meimandi |
| collection | UPM |
| description | Aspect-oriented programming (AOP) is a programmatic methodology to handle better modularized code by separating crosscutting concerns from the traditional abstraction boundaries. Automated testing, as one of the most demanding needs of the software development to reduce both human effort and costs, is a delicate issue in testing aspect-oriented programs. Prior studies in the automated test generation for aspect-oriented programs have been very limited with respect to the need for both adequate tool support and capability concerning effectiveness and efficiency. This paper describes a new AOP-specific tool for testing aspect-oriented programs, called RAMBUTANS. The RAMBUTANS tool uses a directed random testing technique that is especially well suited for generating tests for aspectual features in AspectJ. The directed random aspect of the tool is parameterized by associating weights to aspects, advice, methods, and classes by controlling object and joint point creations during the test generation process. We present a comprehensive empirical evaluation of our tool against the current AOP test generation approaches on three industrial aspect-oriented projects. The results of the experimental and statistical tests showed that RAMBUTANS tool produces test suites that have higher fault-detection capability and efficiency for AspectJ-like programs. |
| first_indexed | 2024-03-06T09:43:28Z |
| format | Article |
| id | upm.eprints-62905 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T09:43:28Z |
| publishDate | 2016 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-629052022-11-25T00:38:21Z http://psasir.upm.edu.my/id/eprint/62905/ RAMBUTANS: automatic AOP-specific test generation tool Parizi, Reza Meimandi Abdul Ghani, Abdul Azim Lee, Sai Peck Khan, Saif Ur Rehman Aspect-oriented programming (AOP) is a programmatic methodology to handle better modularized code by separating crosscutting concerns from the traditional abstraction boundaries. Automated testing, as one of the most demanding needs of the software development to reduce both human effort and costs, is a delicate issue in testing aspect-oriented programs. Prior studies in the automated test generation for aspect-oriented programs have been very limited with respect to the need for both adequate tool support and capability concerning effectiveness and efficiency. This paper describes a new AOP-specific tool for testing aspect-oriented programs, called RAMBUTANS. The RAMBUTANS tool uses a directed random testing technique that is especially well suited for generating tests for aspectual features in AspectJ. The directed random aspect of the tool is parameterized by associating weights to aspects, advice, methods, and classes by controlling object and joint point creations during the test generation process. We present a comprehensive empirical evaluation of our tool against the current AOP test generation approaches on three industrial aspect-oriented projects. The results of the experimental and statistical tests showed that RAMBUTANS tool produces test suites that have higher fault-detection capability and efficiency for AspectJ-like programs. Springer 2016-07 Article PeerReviewed Parizi, Reza Meimandi and Abdul Ghani, Abdul Azim and Lee, Sai Peck and Khan, Saif Ur Rehman (2016) RAMBUTANS: automatic AOP-specific test generation tool. International Journal on Software Tools for Technology Transfer, 19 (6). 743 - 761. ISSN 1433-2779; ESSN: 1433-2787 https://link.springer.com/article/10.1007/s10009-016-0432-3 10.1007/s10009-016-0432-3 |
| spellingShingle | Parizi, Reza Meimandi Abdul Ghani, Abdul Azim Lee, Sai Peck Khan, Saif Ur Rehman RAMBUTANS: automatic AOP-specific test generation tool |
| title | RAMBUTANS: automatic AOP-specific test generation tool |
| title_full | RAMBUTANS: automatic AOP-specific test generation tool |
| title_fullStr | RAMBUTANS: automatic AOP-specific test generation tool |
| title_full_unstemmed | RAMBUTANS: automatic AOP-specific test generation tool |
| title_short | RAMBUTANS: automatic AOP-specific test generation tool |
| title_sort | rambutans automatic aop specific test generation tool |
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