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6 results for “Open source software development”
Dataset of Open-Source Software Developers Labeled by their Experience Level and Associated with their Software Metrics
<p>This dataset contains 703 anonymized developers extracted from 17 open-source projects from GitHub. Projects were chosen because they use:</p> <ul> <li>the Java programming language</li> <li>the <a href="https://spring.io/projects/spring-framework">Spring framework</a></li> <li><a href="https://maven.apache.org/">Maven</a> / <a href="https://gradle.org/">Gradle</a> build tools</li> </ul> <p>For all these developers, 23 software metrics were calculated for each project to which they contribute. These metrics are either calculated by analyzing the source code or relative to project management metadata. Each of these developers then have been manually annotated. To do this, developers have been searched for in professionnal social media such as:</p> <ul> <li><a href="https://www.linkedin.com/">Linkedin</a></li> <li><a href="https://twitter.com/">Twitter</a></li> <li><a href="https://github.com/">Github</a></li> </ul> <p><strong>This dataset is published in the following journal article: </strong></p> <p><strong>Dataset of Open-Source Software Developers Labeled by their Experience Level in the Project and their Associated Software Metrics, Q. Perez, C. Urtado and </strong><strong>S. Vauttier, Data In Brief, </strong></p> <p><a href="https://www.sciencedirect.com/science/article/pii/S2352340922010459">https://www.sciencedirect.com/science/article/pii/S2352340922010459</a></p>
Replication Package for ICSE'21 paper - Representation of Developer Expertise in Open Source Software
<p>Replication package for ICSE'21 paper: Representation of Developer Expertise in Open Source Software.</p> <p>See README for details.</p>
Underrepresented Groups in Open Source Software Development
<p>This repository contains the artifacts generated when researching minority groups in open source software development, which aimed to analyze knowledge about minority groups in OSS projects. This set of artifacts consists of two main components:</p> <p><strong>Research Protocol (PDF):</strong></p> <p>The protocol in PDF format provides a detailed overview of the research design, methodology, and objectives of the study. It describes the scope of the research, research questions, and data collection approach. This protocol is a fundamental reference for researchers interested in understanding how the study was designed.</p> <p><strong>Search Data (CSV):</strong></p> <p>The CSV file contains the raw data collected during the research. The data includes results returned by each database, articles considered in each phase of the study, and the set of seed articles. The XLSX spreadsheet is a source for analyzing the data used in the research.</p> <p>This repository aims to promote a more transparent understanding of the process that guided this research. Researchers and the open source developer community can utilize this dataset for academic studies, replications, and informed decision-making to promote equity and representation in open source projects.</p>
Replication package for the paper - "Balanced Knowledge Distribution among Software Development Teams - Observations from Open-Source and Closed-Source Software Development"
<p>Replication package for the paper - "Balanced Knowledge Distribution among Software Development Teams - Observations from Open-Source and Closed-Source Software Development".</p>
An Exploratory Study on Developers Opinions about Influence in Open Source Software Ecosystems
<p>Vídeo para Backup do SBES 2020</p>
Dataset from "What do developers talk about open source software licensing? " - SEAA2020
<p>This is the dataset used in the respective research work. The abstract is available below.</p> <p>If you want to cite this work, please use:</p> <p> </p> <p>Georgia M. Kapitsaki, Maria Papoutsoglou, Daniel German and Lefteris Angelis, What do developers talk about open source software licensing?, to appear in the Proceedings of the Euromicro Conference on <a href="https://dsd-seaa2020.um.si/seaa/index.html">Software Engineering and Advanced Applications</a>, SEAA 2020.</p> <p>Free and open source software has gained a lot of momentum in the industry and the research community. Open source<br> licenses determine the rules, under which the open source software can be further used and distributed. Previous works<br> have examined the usage of open source licenses in the framework of specific projects or online social coding platforms, examining developers specific licensing views for specific software. However, the questions practitioners ask about licenses and licensing as captured in Question and Answer websites also constitute an important aspect toward understanding practitioners general licenses and licensing concerns. In this paper, we investigate open source license discussions using data from the Software Engineering, Open Source and Law Stack Exchange sites that contain relevant data. We describe the process used for the data collection and analysis, and discuss the main results. Our results indicate that clarifications about specific licenses and specific license terms are required. The results can be useful for developers, educators and license authors.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.