Application of K-mean Algorithm in Software Maintenance

Software maintenance is one of the important and time consuming parts of software development lifecycle. Because maintenance covers the correction of errors ,the enhancement, deletion and addition of capabilities, the adaption of changing data requirements and operational environment, the improvement in performance, usability and other quality related attributes. Once the modification has been implemented, the software system has to be retested to gain confidence that it will perform according to the specification. For which once again test suite needs to be designed to test the modified module and the entire software. So the time spent in maintenance can be reduced by reducing the no. of test cases. We proposed a methodology based on clustering by which we can significantly reduce the test suite. Keywords—