Calling context enhances program understanding and dynamic analyses by providing a rich
representation of program location. Compared to imperative programs, object-oriented …

Calling contexts are very important for a wide range of applications such as profiling,
debugging, and event logging. Most applications perform expensive stack walking to …

Calling context--the set of active methods on the stack--is critical for understanding the
dynamic behavior of large programs. Dynamic program analysis tools, however, are almost …

State-of-the-art dynamic bug detectors such as data race and memory leak detectors report
program locations that are likely causes of bugs. However, programmers need more than …

Deployed software is never free of bugs. These bugs cause software to fail, wasting billions
of dollars and sometimes causing injury or death. Bugs are pervasive in modern software …

To make progress in the face of possible system failures, long-running parallel applications
often checkpoint, or save their state, so they can resume execution. Many current …

State-of-the-art dynamic bug detectors such as data race and memory leak detectors report
program locations that are likely causes of bugs. However, static program location is not …

To make progress in the face of failures, long-running parallel applications need to save
their state, known as a checkpoint. Unfortunately, current checkpointing techniques are …