The Software Diversity Card: A Framework for Reporting Diversity in Software Projects
March 07, 2025 Β· Declared Dead Β· π Information and Software Technology
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Joan Giner-Miguelez, Sergio Morales, Sergio Cobos, Javier Luis Canovas Izquierdo, Robert Clariso, Jordi Cabot
arXiv ID
2503.05470
Category
cs.SE: Software Engineering
Cross-listed
cs.CY,
cs.HC
Citations
1
Venue
Information and Software Technology
Last Checked
5 months ago
Abstract
Context: Interest in diversity in software development has significantly increased in recent years. Reporting on diversity in software projects can enhance user trust and assist regulators in evaluating adoption. Recent AI directives include clauses that mandate diversity information during development, highlighting the growing interest of public regulators. However, current documentation often neglects diversity in favor of technical features, partly due to a lack of tools for its description and annotation. Objectives: This work introduces the Software Diversity Card, a structured approach for documenting and sharing diversity-related aspects within software projects. It aims to profile the various teams involved in software development and governance, including user groups in testing and software adaptations for diverse social groups. Methods: We conducted a literature review on diversity and inclusion in software development and analyzed 1,000 top-starred Open Source Software (OSS) repositories on GitHub to identify diversity-related information. Moreover, we present a diversity modeling language, a toolkit for generating cards using it, and a study of its application in two real-world software projects. Results: Despite the growing awareness of diversity in the research community, our analysis found a notable lack of diversity reporting in OSS projects. Applying the card to real-world examples highlighted challenges such as balancing anonymity and transparency, managing sensitive data, and ensuring authenticity. Conclusion: Our proposal can enhance diversity practices in software development, support public administrations in software assessment, and help businesses promote diversity as a key asset.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted