Predicting Suitable Agile Method Using Fuzzy AHP

Title:Predicting Suitable Agile Method Using Fuzzy AHP

Volume: 14 Issue: 4

Author(s): Rajbala Singh*, Deepak Kumar and Bharat B. Sagar

Affiliation:

• Department of Information Technology, Amity University, Uttar Pradesh Sector-125, Noida,India

Keywords: Agile processes, fuzzy analytic hierarchy process, multi criteria decision making, dynamic system development, triangular fuzzy numbers, ISM.

Abstract: Agile methodology promotes changing requirements and its journey has come a long way in the software industries giving edge as well as dimensions to software products. According to the statistics, agile methodology is more successful than traditional projects. The agile team manages the project more efficiently and delivers quality product. In agile methodology, customer satisfaction is a priority due to rapid development as well as continuous delivery which is the core of the Dynamic System Development (DSD). Thus, the industry keeps pace with the new expertise and changing market situation. This paper reveals the utilization of the Fuzzy Analytic Hierarchical Process (FAHP) which is a Multi-Criteria Decision Making (MCDM) process used in the software industry by correlating the selected alternatives using fuzzy triangular numbers, which decides on the best process of agile. Thus, the methodology of Fuzzy AHP for agile process selection is discussed in this research paper. Moreover, by expressing Fuzzy AHP comprehensively and numerally in this paper, the best likely process selection for agile methodology amongst various criteria as well as decision making issues is implemented.

Cite this article as:

Singh Rajbala*, Kumar Deepak and Sagar B. Bharat , Predicting Suitable Agile Method Using Fuzzy AHP, Recent Advances in Computer Science and Communications 2021; 14 (4) . https://dx.doi.org/10.2174/2213275912666191011154014