Understanding issues related to personal data and data protection in open source projects on GitHub
| Autor: | Henning, Anne, Schulte, Lukas, Herbold, Steffen, Kulyk, Oksana, Mayer, Peter |
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| Rok vydání: | 2023 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | Context: Data protection regulations such as the GDPR and the CCPA affect how software may handle the personal data of its users and how consent for handling of such data may be given. Prior literature focused on how this works in operation, but lacks a perspective of the impact on the software development process. Objective: Within our work, we will address this gap and explore how software development itself is impacted. We want to understand which data protection-related issues are reported, who reports them, and how developers react to such issues. Method: We will conduct an exploratory study based on issues that are reported with respect to data protection in open source software on GitHub. We will determine the roles of the actors involved, the status of such issues, and we use inductive coding to understand the data protection issues. We qualitatively analyze the issues as part of the inductive coding and further explore the reasoning for resolutions. We quantitatively analyze the relation between the roles, resolutions, and data protection issues to understand correlations. Comment: Registered Report with Continuity Acceptance (CA) for submission to Empirical Software Engineering granted by RR-Committee of the MSR'23 |
| Databáze: | arXiv |
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