A Comparative Analysis and Proposing ‘ANN Fuzzy AHP Model’ for Requirements Prioritization

Abstract

Abstract-Requirements prioritization is an essential component of software release planning and requirement engineering. In requirement engineering the requirements are arranged as per their priority using prioritization techniques to develop high-quality software's. It also helps to the decision makers for making good decisions about, which set of requirements should be executed first. In any software development industry a 'software project' may have a larger number of requirements and then it is very difficult to prioritize such type of larger number of requirements as per their priority when stakeholder's priorities are in the form of linguistic variables. This paper presents a comparative analysis of existing seven techniques based on various aspects like: scale of prioritization, scalability, time complexity, easy to use, accuracy, and decision making, etc. It was found from literature survey none of the techniques can be considered as the best one. These techniques undergo from a number of drawbacks like: time complexity, lack of scalability, Negative degree of membership function, inconsistency ratio, rank updates during requirement development, and conflicts among stakeholders. This paper proposed a model called 'ANN Fuzzy AHP model' for requirements prioritization that will overcome these limitations and drawbacks. In the investigation of this proposed model, a case study is implemented. Ozcan et al [31] using a FAHP (Fuzzy AHP) with ANN based technique to choose the best supplier based on the multiple criteria. The examination on ANN with FAHP is performed on MATLAB software and outcome evaluated by fuzzy pairwise comparison matrix with three supplier selection criteria states that the requirements prioritization outcome is better from existing techniques.with higher priority.

A systematic literature review on requirement prioritization techniques and their empirical evaluation

“…• [108] • [72] proposed a method, which is a combination of point direct scoring (PDS) and AHP and Kano model. After evaluation with the help of the Kano model, It is found that newly proposed approach namely "T4" can help for obtaining a higher accuracy rate.…”

An Approach Based on Intuitionistic Fuzzy Sets for Considering Stakeholders’ Satisfaction, Dissatisfaction, and Hesitation in Software Features Prioritization

“…Fuzzy sets have found application in enhancing classical prioritization techniques, notably in the Fuzzy Analytic Hierarchy Process (AHP). In the Fuzzy AHP, pairwise comparisons of candidate features and hierarchical criteria are conducted using linguistic terms expressed in triangular or trapezoidal functions, deviating from traditional numerical values [45]. Recognizing the scalability challenges associated with AHP and similar techniques, especially in extensive software projects where stakeholders need to evaluate numerous features, we introduced a Recommender System (RS) within the context of features prioritization.…”

E-AHP: An Enhanced Analytical Hierarchy Process Algorithm for Priotrizing Large Software Requirements Numbers

“…Fuzzy AHP [20] is another approach introduced to solve the scalability issue that faces AHP [11]. The main idea of Fuzzy AHP is to use fuzzy scales [21], and the pairwise comparison matrix consists of fuzzy triangle numbers. It provides flexibility and efficiency to get benefits from the decision-maker's preferences.…”

“…Fuzzy AHP ANN [21] is an artificial intelligence decision support system proposed to deal with large requirements numbers [18]. It integrates the Artificial intelligence Neural Network (ANN) with AHP to select the best alternatives.…”