Measuring Affectiveness and Effectiveness in Software Systems

TL;DR

This paper presents a four-year study analyzing software development effectiveness through issue resolution time and introduces a novel affectiveness measure based on sentiment, politeness, and emotions in developer comments, using Jira data.

Contribution

It introduces a new approach to measure affectiveness in software development by analyzing developer comments, alongside traditional effectiveness metrics.

Findings

Effectiveness measured by issue resolution time.

Affectiveness assessed through sentiment, politeness, and emotions.

Insights into developer behavior and productivity patterns.

Abstract

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.