Automatic Risk Identification in Software Projects: an Approach based on Inductive Learning

Julia Botan  Machado; Silvio do Lago  Pereira

doi:10.4236/iim.2012.425041

Julia Botan Machado^*, Silvio do Lago Pereira^*

Abstract: Effective risk management is very important to increase the probability of success in software projects. Indeed, like other types of projects, software projects are also susceptible to various problems that can lead to the cancelation of their development or to the development of systems that do not meet the client’s requirements. One of the main active- ties of risk management is the risk identification, because the list of risks generated in this activity is used all along the risk control process. Thus, this work proposes the creation of an expert system which is capable of identifying risks in software projects by using the lessons inductively learned from similar software projects already developed. By using this proposed expert system, project managers and software developers must be able to avoid errors of the past.

Keywords: Risk Management; Risk Identification; Software Engineering; Expert System

Cite this paper: J. Machado and S. Pereira, "Automatic Risk Identification in Software Projects: an Approach based on Inductive Learning," Intelligent Information Management, Vol. 4 No. 5, 2012, pp. 291-295. doi: 10.4236/iim.2012.425041.

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