K-harmonic Mean-Based Approach for Testing the Aspect-Oriented Systems

Abstract

Testing is an important activity of software development and lot of effort can be put on the testing of softwares. In turn, the cost of development of software can be increased. The development cost is increased due to execute large number of test cases for testing the software. So, optimizing the test cases is also a challenging problem in field of software testing. The optimized test cases can either reduce the development cost or ensure the timely delivery of software. In present time, the paradigm shifted from OOP system to AOP sysetm. In AOP, less number of work is reported on testing process. Hence, in this work, KMH approach is applied to optimize the test cases. The performance of KMH is evaluated using two cases studies. It reveals that KHM is efficient approach for testing the AOP system.