Requirements Prioritization Based on Benefit and Cost Prediction: An Agenda for Future Research

Abstract

In early phases of the software cycle, requirements prioritization necessarily relies on the specified requirements and on predictions of benefit and cost of individual requirements. This paper presents results of a systematic review of literature, which investigates how existing methods approach the problem of requirements prioritization based on benefit and cost. From this review, it derives a set of under-researched issues which warrant future efforts and sketches an agenda for future research in this area.

An Integrated Approach to Prioritize Requirements using Fuzzy Decision Making

“…E.g. Stakeholder S 1 observing quality somewhere between "Important" and "Highly important" assigns the triangular fuzzy number (6,7,8) to it and due to being equally concerned for the profit of industry, keeps the profit among somewhere "Important" and "Highly…”

“…Optimal priority of cost against intersection of weight factors pertaining to profit and quality important" category, therefore assigns the triangular fuzzy number (6,7,8) to it as shown in TABLE III. From the fuzzy weights obtained by stakeholders as taken in TABLE III nothing concrete can be interpreted, as overlapping of the membership functions allows a weight to belong to more than one set at the same time.…”

“…Between "I" and "HI" (6,7,8) requirements for which α ≥ =0.7 i.e. it consists of all pairs in α-cut 0.86 S as well as w.r.…”

“…Various requirements negotiation and prioritization techniques have been reported in literature [1,7,8,9,10] that help the developers to obtain consensus among stakeholders. A prioritization method using relationship matrix contemplates multiple perspectives of stakeholders that utilizes the concept of correlation to compute weighted priorities of requirements [1].…”

“…Simulation method prioritizes the requirements of mixed strategies using agile and plan based approach [7]. Prioritization using Cost and benefit method establishes the importance of cost and benefit pertaining to every requirement [8]. Analytical Hierarchy Process (AHP) is a multiple-criteria decision-making technique that uses a pair wise comparison matrix to compute the relative value of requirements with respect to one another [9].Cluster based automated method expresses various concerns of stakeholders to multiple categories of requirements such as feature based, non functional and other cluster requirements [10].…”