Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems
Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Knowledge management technology
IBM Systems Journal
A survey study of critical success factors in agile software projects
Journal of Systems and Software
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Tacit knowledge provides an important support to enterprise activities; software development is not an exception. Traditionally, tacit knowledge is communicated face-to-face while performing activities; in distributed environments it is difficult to carry out. On the other hand, documenting tacit knowledge becomes a difficult task due to its informal nature. Several efforts have been made in order to document tacit knowledge, but some challenges remain. Nowadays, social media provide possibilities for communicating knowledge and are a substantive source of tacit knowledge generation. In this paper we present a case study about how we are using Facebook to supervise the project performance and for integrating a tacit knowledge repository. This repository will allow us to assess future projects at the level of team performance, knowledge sharing, and project success factors. Based on the characterization of tacit knowledge sharing through Facebook, we present an initial proposal to use uncertainty reasoning to predict the project success and for classifying the messages that express tacit knowledge.