Debugging large-scale parallel applications is challenging. Most existing techniques
provide mechanisms for process control but little information about the causes of failures …

Even though most data races are harmless, the harmful ones are at the heart of some of the
worst concurrency bugs. Alas, spotting just the harmful data races in programs is like finding …

Diagnosing production run failures is a challenging yet importanttask. Most previous work
focuses on offsite diagnosis, ie development site diagnosis with the programmers present …

Continued technology scaling is resulting in systems with billions of devices. Unfortunately,
these devices are prone to failures from various sources, resulting in even commodity …

Logging has been a common practice for monitoring and diagnosing performance issues.
However, logging comes at a cost, especially for large-scale online service systems. First …

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 …

Automated localization of software bugs is one of the essential issues in debugging aids.
Previous studies indicated that the evaluation history of program predicates may disclose …

Context: Software performance is a critical non-functional requirement, appearing in many
fields such as mission critical applications, financial, and real time systems. In this work we …

The all-important goal of delivering better software at lower cost has led to a vital, enduring
quest for ways to find and remove defects efficiently and accurately. To this end, two parallel …

Accurate performance analysis is critical for understanding application efficiency and then
driving software or hardware optimizations. Although most of static and dynamic …