Stuck in the permissions with you: Developer & end-user perspectives on app permissions & their privacy ramifications
While the literature on permissions from the end-user perspective is rich, there is a lack of
empirical research on why developers request permissions, their conceptualization of …
empirical research on why developers request permissions, their conceptualization of …
Using ai assistants in software development: A qualitative study on security practices and concerns
Following the recent release of AI assistants, such as OpenAI's ChatGPT and GitHub
Copilot, the software industry quickly utilized these tools for software development tasks, eg …
Copilot, the software industry quickly utilized these tools for software development tasks, eg …
Developers say the darnedest things: Privacy compliance processes followed by developers of child-directed apps
We investigate the privacy compliance processes followed by developers of child-directed
mobile apps. While children's online privacy laws have existed for decades in the US, prior …
mobile apps. While children's online privacy laws have existed for decades in the US, prior …
“Track every move”: Analyzing developers' privacy discourse in GitHub README files
K Levi-Eshkol, R Ribak - New Media & Society, 2024 - journals.sagepub.com
We adopt a socio-material perspective to examine how developers translate privacy, as a
social value, into user applications. Our comprehensive survey of the research on …
social value, into user applications. Our comprehensive survey of the research on …
A Narrative Review of Factors Affecting the Implementation of Privacy and Security Practices in Software Development
Privacy and security are complex topics, raising a variety of considerations and
requirements that can be challenging to implement in software development. Determining …
requirements that can be challenging to implement in software development. Determining …
{“Security} is not my field,{I'm} a stats {guy”}: A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry
Adversarial machine learning (AML) has the potential to leak training data, force arbitrary
classifications, and greatly degrade overall performance of machine learning models, all of …
classifications, and greatly degrade overall performance of machine learning models, all of …
Deciding on personalized ads: Nudging developers about user privacy
Mobile advertising networks present personalized advertisements to developers as a way to
increase revenue. These types of ads use data about users to select potentially more …
increase revenue. These types of ads use data about users to select potentially more …
Understanding privacy-related advice on stack overflow
Privacy tasks can be challenging for developers, resulting in privacy frameworks and
guidelines from the research community which are designed to assist developers in …
guidelines from the research community which are designed to assist developers in …
Understanding ios privacy nutrition labels: An exploratory large-scale analysis of app store data
Since December 2020, the Apple App Store has required all developers to create a privacy
label when submitting new apps or app updates. However, there has not been a …
label when submitting new apps or app updates. However, there has not been a …
Charting app developers' journey through privacy regulation features in ad networks
Mobile apps enable ad networks to collect and track users. App developers are given
“configurations” on these platforms to limit data collection and adhere to privacy regulations; …
“configurations” on these platforms to limit data collection and adhere to privacy regulations; …