Dataset of open-source software developers labeled by their experience level in the project and their associated software metrics

Developers are extracted from 17 open-source projects from GitHub. Projects are chosen that use the java programming language, the Spring framework and Maven/Gradle build tools. Along with these developers, 24 software engineer-ing metrics are extracted for each of them. These metrics are either calculated by analyzing the source code or rela-tive to project management metadata. Each of these devel-opers then are manually searched for in professional social media such as LinkedIn or Twitter to be labeled with their experience level in their project. Outliers are statistically de-tected and manually re-assigned when needed. The result-ing dataset contains 703 anonymized developers qualified by their 24 project-related software engineering metrics and la-beled for their experience. It is suitable for empirical soft-ware engineering studies that need to connect developers' level of experience to tangible software engineering metrics.(c) 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )