Examining Software Developers' Needs for Privacy Enforcing Techniques: A survey

Data privacy legislation, such as GDPR and CCPA/CPRA, has rendered data privacy law compliance a requirement of all software systems. Developers need to implement various kinds of functionalities to cover law needs, including user rights and law principles. As data compliance is tightly coupled with legal knowledge, it is not always easy to perform such integrations in software systems. Prior studies have focused on developers’ understanding of privacy principles, such as Privacy by Design, and have examined privacy techniques used in the software industry. Nevertheless, emerging developer needs that can assist in privacy law compliance have not been examined but are useful in understanding what development automation tools, such as Generative AI, need to cover to make the compliance process more straightforward and seamless within the development process. In this work, we present a survey that examines the above needs with the participation of 68 developers, while we have examined which factors affect practitioners’ needs. Most developers express a need for more automated tools, while privacy experience increases practitioners’ concerns for privacy tools. Our results can assist practitioners in better positioning their development activities within privacy law compliance and point to an urgent need for privacy facilitators.

💡 Research Summary

The paper investigates what software developers need in order to enforce privacy‑protecting techniques that satisfy modern data‑protection regulations such as the GDPR, CCPA, and CPRA. Recognizing that compliance is tightly coupled with legal knowledge and that many developers lack formal training in privacy law, the authors designed and administered a comprehensive survey to capture both general and technical needs.

Study Design
The authors first reviewed prior developer‑privacy surveys and identified five thematic categories: awareness, perception/comprehension, developer behavior, implementation challenges for GDPR compliance, and current practices. They then constructed a questionnaire that covered all five categories, with a particular focus on the missing “needs” dimension. The survey comprised six sections: (1) informed consent, (2) demographics (age, gender, country, education, role, experience, company size), (3) current practices (presence of a Chief Privacy Officer, responsibility for privacy policies, prior experience drafting policies), (4) general needs (20 Likert‑style statements about tool support for Privacy‑by‑Design, clearer stakeholder requirements, etc.), (5) technical needs (20 statements about reusable components, automated risk detection, integration of privacy‑enhancing technologies), and (6) four realistic privacy‑leak scenarios with open‑ended responses.

A pilot study with a mixed audience of industry practitioners and researchers was conducted to refine wording, remove irrelevant items, and add explanatory notes for legal terminology. The final survey was approved by the National Bioethics Committee of Cyprus and distributed to 68 developers from various countries, organization sizes, and experience levels.

Key Findings

1. Strong demand for automation – Over three‑quarters of respondents agreed that tools that automatically detect privacy violations in code, especially those that can be integrated into CI/CD pipelines, are essential.

2. Need for reusable, modular components – Developers highlighted a lack of ready‑made APIs or libraries for common privacy tasks such as consent management, anonymization, and access control. 65 % expressed that such components would significantly ease their work.

3. Gap between legal requirements and technical implementation – 62 % reported that privacy requirements from stakeholders are often vague or missing, making it difficult to translate regulations into concrete engineering tasks.

4. Experience influences expectations – Participants with prior privacy‑related project experience showed higher overall agreement with the need for tools, but also expressed greater concern about false positives/negatives, indicating a nuanced awareness of current tool limitations.

5. Organizational context matters – Larger firms and team leads tend to expect a formal “Chief Privacy Officer” role and standardized procedures, whereas developers in smaller companies often bear the full responsibility for privacy compliance themselves. Nonetheless, the desire for automation and reusable components is consistent across all groups.

Statistical analysis (correlation and regression) confirmed that privacy experience is a significant predictor of both the perceived importance of automated tools and the level of concern about tool reliability.

Implications

The study reveals that existing privacy‑support tools are insufficient: they lack deep automation, are difficult to integrate, and do not bridge the legal‑technical divide. The authors propose several actionable directions:

• Development of AI‑driven code analysis and suggestion systems that can map GDPR/CCPA clauses to concrete code changes.
• Creation of standardized privacy frameworks (SDKs, libraries) that encapsulate principles such as data minimization, purpose limitation, and user‑rights enforcement.
• Strengthening organizational roles (e.g., dedicated privacy officers) to provide clear, actionable requirements to development teams.
• Implementing targeted training programs that translate legal concepts into engineering practices.

Conclusion

By systematically capturing developers’ needs, the paper demonstrates a clear and urgent demand for more automated, reusable, and legally‑aware privacy tooling. The findings provide a roadmap for tool vendors, researchers, and policy makers aiming to make privacy compliance a seamless part of the software development lifecycle. Future work should prototype the suggested solutions and evaluate their impact in real‑world development settings.