Nearly all software built today impinges upon end-user privacy and needs to comply with relevant regulations. Therefore, there have been increasing calls for integrating considerations of compliance with privacy regulations throughout the software engineering lifecycle. However, software engineers are typically trained in the technical fields and lack sufficient knowledge and support for sociotechnical considerations of privacy. Privacy ideation cards attempt to address this issue by making privacy compliance understandable and actionable for software developers. However, the application of privacy ideation cards in real-world software projects has not yet been systemically investigated. The effectiveness of ideation cards as a pedagogical tool has not yet been examined either. We address these gaps by studying how teams of undergraduate students applied privacy ideation cards in capstone projects that involved building real-world software for industry sponsors. We found that privacy ideation cards fostered greater consideration and understanding of the extent to which the projects aligned with privacy regulations. We identified three main themes from student discussions of privacy compliance: (i) defining personal data; (ii) assigning responsibility for privacy compliance; and (iii) determining and exercising autonomy. The results suggest that application of the cards for real-world projects requires careful consideration of intersecting factors such as the stage at which the cards are used and the autonomy available to the developers. Pedagogically, ideation cards can facilitate low-level cognitive engagement (especially the cognitive processes of meaning construction and interpretation) for specific components within a project. Higher-level cognitive processes were comparatively rare in ideation sessions. These findings provide important insight to help enhance capstone instruction and to improve privacy ideation cards to increase their impact on the privacy properties of the developed software.
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Evaluating privacy perceptions, experience, and behavior of software development teams
With the increase in the number of privacy regulations, small development teams are forced to make privacy decisions on their own. In this paper, we conduct a mixed-method survey study, including statistical and qualitative analysis, to evaluate the privacy perceptions, practices, and knowledge of members involved in various phases of the Software Development Life Cycle (SDLC). Our survey includes 362 participants from 23 countries, encompassing roles such as product managers, developers, and testers. Our results show diverse definitions of privacy across SDLC roles, emphasizing the need for a holistic privacy approach throughout SDLC. We find that software teams, regardless of their region, are less familiar with privacy concepts (such as anonymization), relying on self-teaching and forums. Most participants are more familiar with GDPR and HIPAA than other regulations, with multijurisdictional compliance being their primary concern. Our results advocate the need for role-dependent solutions to address the privacy challenges, and we highlight research directions and educational takeaways to help improve privacy-aware SDLC.
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- Award ID(s):
- 2238047
- PAR ID:
- 10583453
- Publisher / Repository:
- USENIX Security - SOUPS '24: Proceedings of the Twentieth USENIX Conference on Usable Privacy and Security
- Date Published:
- Page Range / eLocation ID:
- 101 - 120
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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null (Ed.)Our systematic literature review aims to survey research on regulatory and security standard requirements as addressed throughout the Software Development Lifecycle. Also, to characterize current research concerns and identify specific remaining challenges to address regulatory and security standard requirements throughout the SDLC. To this end, we conducted a systematic literature review (SLR) of conference proceedings and academic journals motivated by five areas of concern: 1. SDLC & Regulatory Requirement 2. Risk Assessment and Compliance requirements 3. Technical Debt 4. Decision Making Process throughout the SDLC 5. Metric and Measurements of found Software Vulnerability. The initial search produced 100 papers, and our review process narrowed this total to 20 articles to address our three research questions. Our findings suggest that academic software engineering research directly connecting regulatory and security standard requirements to later stages of the SDLC is rare despite the importance of compliance for ensuring societally acceptable engineering.more » « less
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