Raciocínio baseado em casos para gerenciamento colaborativo de riscos

Abstract

In a collaborative risk management scenario, project stakeholders often need natural forms of recording and reusing past risk management experiences so that they could better assess whether there are threats to the goals of new projects. The contribution of this dissertation is to propose an enhanced case-based reasoning (CBR) approach to support project participants to exploit such experiences, which are here expressed as collaborative risk management discussion cases. In this context, collaborative risk discussion of software project can be carried out by a existing risk discussion system (SEVERO, POZZEBON, et al., 2013), where such dialogues follow a communication protocol (SEVERO, FONTOURA, et al., 2013) e argumentation schemes (REED e WALTON, 2007). This research aims to propose an enhanced case-based reasoning approach, which is structured through traditional factual attributes in combination with argumentation attributes. Furthermore, different forms of CBR queries are exploited, such queries are based on facts and arguments so that past risk discussion cases could be retrieved from a case base. Finally, CBR explanation techniques, in particular case-based explanation templates, are exploited, allowing users from this risk discussion system a better understanding of how and why the most similar cases to a given query may be relevant to the solution of found problems in current risk discussions. To demonstrate the practical utility of this approach, a case study involving the collaborative experience-based risk management of a software project is discussed, as well as the results of an experiment conducted which show positive evidence for the acceptance and applicability of the approach in the solution of current problems of collaborative risk management by using past experiences.