Reasoning of Competitive Non-Functional Requirements in Agent-Based Models

During the decision-making process in real-time competitive environments, there is a need to perform concurrent optimisation of multiple competitive objectives to select an optimal design decision for interdependent stakeholders. To handle such issues, this thesis successfully assimilates the goal-oriented requirements-engineering knowledge with analytical decision-making approaches to facilitate reasoning and analysis by encouraging stakeholders’ involvement. This leads to optimal decisions with domain knowledge improvement in the agent-based i*-goal model by balancing multiple conflicting non-functional requirements reciprocally

Mixed-strategic Reasoning of the i* Goal Model

Goal-Oriented Requirements Engineering represents the stakeholder objectives using goals for making decisions about the choice of suitable non-functional requirements in view of goal models. In a competitive environment, stakeholders\u27 may have conflicting goals. Therefore, there is a need for a goal analysis method which offers an alternative design option that achieves the conflicting goals of different interdependent actors in a goal model. To address circumstances where there is uncertainty, this paper proposes a game-theory based probabilistic, mixed-strategy approach to choose the best alternative to resolve the conflicting requirements issue. In this paper, a framework is proposed that applies Nash equilibrium based on multiobjective values for selecting an optimum strategy in the i* goal model by considering the opposing goals reciprocally. By integrating Java with IBM ILOG CPLEX, the proposed method was developed and evaluated successfully using different case studies