Software model checking Page 1 21 Software Model Checking RANJIT JHALA University of
California, San Diego and RUPAK MAJUMDAR University of California, Los Angeles We survey …

A data race in a kernel is an important class of bugs, critically impacting the reliability and
security of the associated system. As a result of a race, the kernel may become …

This paper describes GenProg, an automated method for repairing defects in off-the-shelf,
legacy programs without formal specifications, program annotations, or special coding …

The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately,
writing correct concurrent programs is difficult. Addressing this challenge requires advances …

The automation of software testing promises to delegate to machines what is otherwise the
most labor-intensive and expensive part of software development. The past decade has …

Concurrency is pervasive in large systems. Unexpected interference among threads often
results in “Heisenbugs” that are extremely difficult to reproduce and eliminate. We have …

A model for the yield strength of multi-component alloys is presented and applied to
overaged Al–Zn–Mg–Cu alloys (7xxx series). The model is based on an approximation of …

Bugs in multi-threaded programs often arise due to data races. Numerous static and
dynamic program analysis techniques have been proposed to detect data races. We …

Stateless model checking is a powerful technique for program verification, which however
suffers from an exponential growth in the number of explored executions. A successful …

We present TaxDC, the largest and most comprehensive taxonomy of non-deterministic
concurrency bugs in distributed systems. We study 104 distributed concurrency (DC) bugs …