A Suggestive Framework for Handling Conflicts in Stakeholder's Emotional Goals Using Machine Learning Approach

Requirement engineering plays an essential role in producing successful software products where multiple stakeholders are involved. It is imperative to elicit stakeholders' emotional goals and functional and quality requirements for the software to succeed. In systems where multiple stakeholders are involved, it is possible that the emotional goals of stakeholders may conflict. The unresolved conflicts among the emotional goals of stakeholders make them lose confidence in accepting the developed technology. This paper aims to provide a framework for handling conflict in emotional goals of various stakeholders. The proposed approach uses Machine Learning techniques to capture the emotional goals of stakeholders from the elicited requirements. Once the emotional goals are gathered, they will be prioritized using defined ranking scales. Conflicts in them will be identified using statistical measures, and their resolution will be performed using clustering techniques. Our suggestive framework intends to provide intelligent solutions for harmonizing the emotional goals of stakeholders by resolving conflicts among them.