Application of Multi-Criteria Decision Analysis to the Selection of Software Measures

Abstract

In this research we propose the application ofa multi-criteria decision analysis to make documented and transparent decisions about software measures’ selection. The Pareto’s dominance method was utilizedto narrow down the initial measures’ list. The multiattribut evalue theory was applied for ranking the final set of measures. As a result there was eliminated about 40% of the initial measures and the final measures’ list was ranked.