Abstract:
To minimize testing cost, automated testing is the best approach to be followed in the field of software testing. Software testing is used for the intent of detecting errors for the sake of measuring the outcomes under some controlled conditions. Functionality is the basic statement of the system's capability, services and behaviour. To minimize the cost and time of testing, there is need to prioritize the test cases according to quality attributes so that those which are more important are run earlier in the testing process. Our proposed methodology implemented taking SRS and quality attributes as input and going through the procedure of text mining of SRS and test cases separately, we compute and compare the test case prioritization according to those quality attributes. Analysis of the result shows that our whole work is promising. It not only reduces the time cost of testing but also prioritizes the test cases. We then cluster them all these test cases according to agglomerative clustering and at the end traceability matrix is given to determine the completeness of the relationship by correlating test cases with quality attributes.
