Analytics for Software Project Management -- Where are We and Where do We Go?

Abstract

Software project management is a decision intensive process. Success or failure of the project is highly dependent on these decisions. Analytical techniques and tools can support project managers throughout the software project life cycle by increasing the predictability and chance of success in these projects. In this paper, we report the results of a systematic mapping study within which we investigate the usage of different types of analytics for software project management. We analyze the accessibility of the data as well as the degree of validation reported in the 115 studies selected for final analysis. This resulted in a picture of the status quo (Where are we?) of analytics in software project management. From comparing this status quo with the results of an industrial survey on the industrial needs of different types of analysis, we propose an agenda on future work (Where do we go?).