DECISION MAKING APPROACH FOR RANKING OF SOFTWARE TESTING TECHNIQUES USING EUCLIDEAN DISTANCE BASED APPROACH

Software testing is considered as a crucial segment in the software development life cycle that mainly emphasizes on the error detection in software to enhance the software reliability. Various software testing techniques have been developed over the decades to reveal the various errors in software to achieve the better software development. The efficient use of these techniques in development seems out as an infant stage in the current scenario. The high demand of the better quality software development has shaped the need for a decision-aid procedure to make the right selection. A deterministic multi-criteria decision making quantitative model based on the Euclidean distance based approach (EDBA) has been developed for the ranking of software testing techniques. EDBA determines Euclidean distance for each technique from hypothetical optimal point that has the best values for each selection criteria. Finally, the ranking of the testing techniques is obtained for the selection purpose