Mining and Extraction of Personal Software Process Measures through IDE Interaction Logs

Abstract

The Personal Software Process (PSP) is an effective software process improvement method that heavily relies on manual collection of software development data. This paper describes a semi-automated method that reduces the burden of PSP data collection by extracting the required time and size of PSP measurements from IDE interaction logs. The tool mines enriched event data streams so can be easily generalized to other developing environment also. In addition, the proposed method is adaptable to phase definition changes and creates activity visualizations and summarizations that are helpful for software project management. Tools and processed data used for this paper are available on GitHub at: https://github.com/unknowngithubuser1/data.