Decision-making in requirements engineering plays a vital role in building quality software. Significant research is being applied in the requirements engineering field towards finding the reasons for high failure rates in software development. However, the industry still fails to produce quality requirements. Based on our literature review, we identifying that major contributing factor in getting a low rate of success is due unclear and imprecise requirements. In this paper, we proposed a novel fuzzy based fishbone method for decision making in Goal Oriented Requirements Engineering. It facilitates active stakeholder involvement in decision making process by integrating GORE with existing approaches in requirements engineering with respect to decision making. The main objective of this work is to present a formal framework to aid the decision making in a software development process, with ambiguous and vague data. GORE lays focus on the activities before the formulation of software system requirements. Finally, the proposed method improves the quality of decision making system and obtains high-quality products along with finer productivity.

Requirements Engineering, Fuzzy set theory, Fishbone, GORE, Software quality

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