A First Step Towards Detecting Values-violating Defects in Android APIs
This work addresses the detection of understudied human values violations in mobile apps for developers and users, but it is incremental as it builds on existing privacy/security-focused methods.
The paper tackled the problem of detecting human values violations in Android APIs, developing algorithms that achieved high performance on a curated ground truth and found correlations between values violations and viruses, app installations, and social apps when applied to 10,000 apps.
Human values are an important aspect of life and should be supported in ubiquitous technologies such as mobile applications (apps). There has been a lot of focus on fixing certain kinds of violation of human values, especially privacy, accessibility, and security while other values such as pleasure, tradition, and humility have received little focus. In this paper, we investigate the relationship between human values and Android API services and developed algorithms to detect potential violation of these values. We evaluated our algorithms with a manually curated ground truthset resulting in a high performance, and applied the algorithms to 10,000 apps. Our results show a correlation between violation of values and the presence of viruses. Our results also show that apps with the lowest number of installations contain more violation of values and the frequency of the violation of values was highest in social apps.