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P2 “I need to learn better searching tactics for privacy policy laws.” Investigating Software Developers’ Behavior When Using Sources on Privacy Issues

“我需要学习更好的搜索策略来应对隐私政策法律。”——调查软件开发者在使用隐私问题相关资源时的行为
ICSE Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering2026匹配度 1/10 · 该论文是开发者隐私合规行为的定性研究,关注开发者使用个人知识、网络资源与 AI 助手时的困难,与静态分析、程序分析、形式化验证、浮点/贝叶斯程序分析及 Agentic 程序分析均无直接关系。虽然涉及 AI 助手的使用,但研究目标不是程序分析或 LLM 与程序分析的交叉方法。引用 1 inbox
Stefan Albert Horstmann, Sandy Hong, Maziar Niazian, Cristiana Santos, Alena Naiakshina
crossref: 2026-09-12

AI 速览

一句话:通过出声思维与访谈研究 30 名开发者,发现个人知识、网络资源与 AI 助手在支持隐私合规开发上均存在明显不足。

自 GDPR 与 CCPA 实施以来,软件开发者越来越多地在系统设计与实现中面对隐私相关决策,但既有研究表明他们普遍缺乏法律专业知识,难以进行隐私合规开发。为考察现有信息源在支持隐私敏感实现时的实际效果,作者对 30 名开发者开展了定性研究:向参与者呈现一个隐私敏感场景,要求其借助个人知识、在线资源以及 AI 助手识别隐私问题并提出应对措施,同时通过出声思维记录其决策过程,并在后续访谈中加以讨论。结果显示三类信息源均不理想:个人知识不足,网页内容往往过于复杂,AI 助手虽能给出清晰且贴合用户的回答,却缺乏语境相关性,无法识别该场景特有的问题。研究据此指出当前开发者支持体系的重大缺陷,并呼吁提供更易获取、更易理解、更可操作的隐私资源。

问题
研究问题:在 GDPR/CCPA 背景下,开发者在隐私敏感的开发决策中缺乏法律专业知识,而现有信息源(个人知识、网络资源、AI 助手)究竟能在多大程度上有效支持他们,尚不清楚。
方法
方法:对 30 名开发者开展定性研究,给出一个隐私敏感场景,要求他们利用自身知识、在线资源与 AI 助手识别隐私问题并提出措施,结合出声思维观察与后续访谈分析其决策行为。
评估
评估:对 30 名参与者的出声思维记录与访谈数据进行定性分析,比较三类信息源在识别隐私问题上的表现与局限。
原文摘要(Abstract)

Since the introduction of the European General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), software developers increasingly have to make privacy-related decisions during system design and implementation. However, past research showed that they often lack legal expertise and struggle with privacy-compliant development. To shed light on how effective current information sources are in supporting them with privacy-sensitive implementation, we conducted a qualitative study with 30 developers. Participants were presented with a privacy-sensitive scenario and asked to identify privacy issues and suggest measures using their knowledge, online resources, and an AI assistant. We observed developers' decision-making in think-aloud sessions and discussed it in follow-up interviews. We found that participants struggled with all three sources: personal knowledge was insufficient, web content was often too complex, and while AI assistants provided clear and user-tailored responses, they lacked contextual relevance and failed to identify scenario-specific issues. Our study highlights major shortcomings in existing support for privacy-related development tasks. Based on our findings, we discuss the need for more accessible, understandable, and actionable privacy resources for developers.

链接与引用

DOI 原文 · PDF(开放获取) ·

BibTeX
@inproceedings{paperbot11927,
  title = {“I need to learn better searching tactics for privacy policy laws.” Investigating Software Developers’ Behavior When Using Sources on Privacy Issues},
  author = {Stefan Albert Horstmann and Sandy Hong and Maziar Niazian and Cristiana Santos and Alena Naiakshina},
  booktitle = {ICSE},
  year = {2026},
  doi = {10.1145/3744916.3773150}
}