Modelo de redes bayesianas para melhoria do trabalho em equipe em projetos ágeis de desenvolvimento de software.

Abstract

Agile methods consider individuals and interactions more important than processes and tools. In addition, agile teams are required to be self-organized to ensure rapid aggregation of value and responsiveness to change. Thereby, it is necessary that team members collaborate to embrace the concept of whole-team responsibility and commitment. In the literature, it is shown that teamwork factors are critical to achieve success in agile projects. Some researchers have proposed tools for assessing and improving teamwork quality. However, in the context of agile software development, these tools are limited because they don’t focus on agile projects, depend on subjective assessment, or don’t include important teamwork quality key factors. Therefore, we present a Bayesian Network model to assess and improve agile teams’ teamwork quality. The motivation to use Bayesian Networks comes from its suitability for modeling uncertainties in a given domain, in addition to the easiness to model and quantify the relationships between the teamwork quality key factors. Besides the model, a procedure for using the model is also presented. Both model and procedure were evaluated in a case study with three units of analysis (i.e., agile software development teams). According to the case study results, the model measures the teamwork quality precisely, assisting on the identification of improvement opportunities for this factor, and the cost-benefit for using it with the presented procedure is positive.