Associating synchronization constraints with data in an object-oriented language

Concurrency-related bugs may happen when multiple threads access shared data and interleave in ways that do not correspond to any sequential execution. Their absence is not guaranteed by the traditional notion of "data race" freedom. We present a new definition of data races in terms of 11 problematic interleaving scenarios, and prove that it is complete by showing that any execution not exhibiting these scenarios is serializable for a chosen set of locations. Our definition subsumes the traditional definition of a data race as well as high-level data races such as stale-value errors and inconsistent views. We also propose a language feature called atomic sets of locations, which lets programmers specify the existence of consistency properties between fields in objects, without specifying the properties themselves. We use static analysis to automatically infer those points in the code where synchronization is needed to avoid data races under our new definition. An important ...

• Type: Conference
• Year: 2006
• Where: POPL
• Authors: Mandana Vaziri, Frank Tip, Julian Dolby
• Keywords: Data Races, Multiple Threads Access, POPL 2006, Programming Languages, Standard Collections Framework