case sensitive

Sort by: Display: Hide controls:

  1. Adrian Lienhard, Tudor Gîrba, and Oscar Nierstrasz. Specifying Dynamic Analyses by Extending Language Semantics. In Transactions on Software Engineering 38(3) p. 694—706, 2012. DOI PDF 

    Dynamic analysis is increasingly attracting attention for debugging, profiling, and program comprehension. Ten to twenty years ago, many dynamic analyses investigated only simple method execution traces. Today, in contrast, many sophisticated dynamic analyses exist, for instance for detecting memory leaks, analyzing ownership properties, measuring garbage collector performance, or supporting debugging tasks. These analyses depend on complex program instrumentations and analysis models, making it challenging to understand, compare, and reproduce the proposed approaches. While formal specifications and proofs are common in the field of static analysis, most dynamic analyses are specified using informal, textual descriptions. In this article we propose a formal framework using operational semantics that allows researchers to precisely specify their dynamic analysis. Our goal is to provide an accessible and reusable basis on which researchers that may not be familiar with rigorous specifications of dynamic analyses can build. By extending the provided semantics, one can concisely specify how runtime events are captured and how this data is transformed to populate the analysis model. Furthermore, our approach provides the foundations to reason about properties of a dynamic analysis.