doi: 10.7763/IJIET.2011.V1.29
Novel Approach to Automated Test Data Generation for AOP
Abstract
Aspect oriented programming is a new programming paradigm. AOP is based on object oriented programming. Most of the researchers target this new paradigm towards the programming not for testing. Testing of aspect oriented programs is an emerging field of research as a very few research work is going on currently on ASP. In this paper, we investigate a new way of testing aspect oriented programs. Here we propose a framework of automated test data generation for evolutionary testing on AOP. On the basis of generated data we will compare evolutionary testing with random testing in terms of effort reduction and improvement of test effectiveness. We will justify our comparison with the help of empirical study on AspectJ programs.
Keywords
- Aspect oriented programming
- testing AOP
- debugging
- and Search based optimization techniques
How to Cite
Anuranjan Misra, Raghav Mehra, Mayank Singh, Jugnesh Kumar, and Shailendra Mishra, "Novel Approach to Automated Test Data Generation for AOP," International Journal of Information and Education Technology, vol. 1, no. 2, pp. 179-184, 2011. https://doi.org/10.7763/IJIET.2011.V1.29
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).