Knowledge extraction of the behaviour of software developers by the analysis of time recording logs

Software development project management has a poor reputation in terms of avoiding cost and schedule overruns. The cause of this situation is based on the feature of the software development process that is characterized by quickly growing complexity and change. Therefore, there are many uncertainties to define exactly the necessary time to complete a tasks according to the person's performance. In this scenario Soft-Computing techniques may offer new approaches with the aim of helping the participants of the project to manage their time, give priority to their activities and readjust the work to complete satisfactorily the project tasks. This work presents an automatic features extraction process with the aim of defining the elements involved in a software project. This knowledge is represented by means fuzzy sets and fuzzy prototypes. The source of data is the Personal Software Project time recording logs. A preliminary experiment illustrates the feasibility of this approach.