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A Study on the Prevalence of Privacy in Software Engineering

  • University of Wollongong

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The continuous growth and widespread use of digital technologies have made the protection of personal data and individual rights one of the major concerns when developing software systems and applications. Furthermore, data protection regulations and privacy standards have imposed additional responsibilities on software engineers. Failure to achieve these privacy and regulatory requirements can lead to user dissatisfaction, damage to organisations’ reputation, and potential legal non-compliance. Software engineering (SE) researchers have been exploring various aspects to address privacy concerns in software development. To provide the SE community a comprehensive overview of the prevalence of privacy considerations in SE research, we conducted a systematic mapping study following well-established guidelines for collecting and categorising primary studies. Our study identified 187 primary studies and categorised their contributions based on various perspectives. Our results reveal the following key findings: (a) privacy considerations are prevalent in 12.14% of all possible primary studies; (b) the most common type of problems, contributions and validation methods employed; and (c) the distribution of focus and scope in primary studies as well as the potential directions for future research. These findings offer both quantitative and qualitative insights of trends and opportunities that can benefit both SE researchers, academics and practitioners.

Original languageEnglish
Article number288
JournalACM Computing Surveys
Volume57
Issue number11
DOIs
Publication statusPublished - 13 Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Privacy
  • paper classification
  • software engineering
  • systematic mapping study

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