Program Analysis has been a rich and fruitful field of research for many decades, and
countless high quality program analysis tools have been produced by academia. Though …

Static analysis tools have showcased their importance and usefulness in automated
detection of defects. However, the tools are known to generate a large number of alarms …

We propose a general end-to-end deep learning framework Code2Inv, which takes a
verification task and a proof checker as input, and automatically learns a valid proof for the …

Establishing quantitative bounds on the execution cost of programs is essential in many
areas of computer science such as complexity analysis, compiler optimizations, security and …

Static analysis tools have showcased their importance and usefulness in automated
detection of code anomalies and defects. However, the large number of alarms reported and …

Device drivers rely on fine-grained locking to ensure safe access to shared data structures.
For human testers, concurrency makes such code notoriously hard to debug; for automated …

Even though many programmers rely on 3-way merge tools to integrate changes from
different branches, such tools can introduce subtle bugs in the integration process. This …

Software depends on upstream projects that regularly fix vulnerabilities, but the
documentation of those vulnerabilities is often unreliable or unavailable. Automating the …

A common theme in program verification is to relate two programs, for instance to show that
they are equivalent, or that one refines the other. Such relationships can be formally …

To improve software quality, researchers and practitioners have proposed static analysis
tools for various purposes (eg, detecting bugs, anomalies, and vulnerabilities). Although …