We present the concept of Just-In-Time (JIT) static analysis that interleaves code development and bug fxing in an integrated devel- opment environment. Unlike traditional batch-style analysis tools, a JIT analysis tool presents warnings to code developers over time, providing the most relevant results quickly, and computing less rel- evant results incrementally later. In this paper, we describe general guidelines for designing JIT analyses. We also present a general recipe for transforming static data-fow analyses to JIT analyses through a concept of layered analysis execution.
We illustrate this transformation through Cheetah, a JIT taint analysis for Android applications. Our empirical evaluation of Cheetah on real-world applications shows that our approach returns warnings quickly enough to avoid disrupting the normal workfow of developers. This result is confrmed by our user study, in which developers fxed data leaks twice as fast when using Cheetah compared to an equivalent batch-style analysis.