Selection of Best Software Methodology Using Entropy and TOPSIS

Abstract

With the advent of disruptive methodologies to ensure higher success rates in software engineering processes, the agile software development principles have gained the interest of large organizations. Agile methodology is characterized by iterative and incremental nature, customer-oriented development, adaptability and brisk development cycles. This study analyses the criteria of gathering data and evaluation is conducted by the expert's judgement from which valuable information is extracted to deliver quality software. Critical Success Factors (CSF) is dynamic in implementing an autonomous methodology using entropy approach from the organisation perspective CSF must be known initially following the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) which is a multiple-criteria decision-making (MCDM) approach. The approach's aim is to in parallel minimize and maximise the critical factors. CSF which needs more attention are emphasized from this research findings and is arranged from high to low. We conclude this study by selecting the best software methodology using entropy and TOPSIS.