Análise do processo de desenvolvimento de software de equipes de uma instituição de ensino

Abstract

With the large amount of data produced in the last two decades, extracting information from this massive network and seemingly infinite data has become necessary for organizations nowadays. It is possible to say that in diverse areas, including software engineering, It is searched in data mining to help solve problems inherent to them. In this way, the objective of this work was to analyze the agile software development process through grouping (clustering) technique functionalities from historical data of a software development teaching base. Thus, this work focus on the software development analysis process using data mining techniques. For this, data referring to the subject “Projeto Integrator” of UniCesumar, which comprises projects of software development teams based on the agile methodology, were analyzed. In the end, were raised three assumptions about the results found. These assumptions were discussed separately, considering the software engineering aspects and agile methodology. Thus, it was concluded that the process could be used to extract information from software development projects. For future works, it was recommended the use other data mining techniques, and to use of different data sources for feasibility.