ATIMO – A Tool for Alocating Agile Teams

Abstract

It is essential for the success of a project to put together teams that meet the project requirements with lower cost and higher quality. Given this context, the present study developed a tool called ATIMO that uses the optimization algorithms NSGAII, SPEA2, and MOCell, to put agile teams together. The algorithms implemented in ATIMO were tested by being applied to four real projects in an experiment performed by a software development company. This approach took into account the project features, the developers’ profile, and both the project and the organization constraints. As a result, the algorithms returned solutions with the number of resources needed to carry out the project as well as the best qualified resources for the project with productivity and lower cost to meet the established deadline. The algorithms NSGAII, and SPEA2 presented similar results and behavior, as the MOCell algorithm presented a better performance in computational effort and required a larger population for its saturation.