Measuring Affectiveness and Effectiveness in Software Systems
This work addresses the need for better understanding productivity and emotional dynamics in open-source communities, though it appears incremental by combining existing sentiment analysis with productivity metrics.
The paper tackled the problem of analyzing software development processes by measuring both effectiveness (issue resolution time) and affectiveness (developer sentiment, politeness, and emotions in comments), based on data from Jira repositories over a four-year project.
The summary presented in this paper highlights the results obtained in a four-years project aiming at analyzing the development process of software artifacts from two points of view: Effectiveness and Affectiveness. The first attribute is meant to analyze the productivity of the Open Source Communities by measuring the time required to resolve an issue, while the latter provides a novel approach for studying the development process by analyzing the affectiveness ex-pressed by developers in their comments posted during the issue resolution phase. Affectivenes is obtained by measuring Sentiment, Politeness and Emotions. All the study presented in this summary are based on Jira, one of the most used software repositories.