@conference {72,
	title = {Aspectual Source Code Analysis with GASR},
	booktitle = {Proceedings of the 13th International Working Conference on Source Code Analysis and Manipulation (SCAM13)},
	year = {2013},
	abstract = {<p>Abstract{\~A}{\textcent}{\^a}{\quotesinglbase}{\textlnot}{\^a}{\texteuro}{\oe}-To be able to modularize crosscutting concerns, aspects introduce new programming language features, often in a new language, with a specific syntax. These new features lead to new needs for source code analysis tools, resulting in the requirement for a general-purpose aspectual source code analysis tool. Ignoring this requirement has led to a nontrivial duplication of effort in the aspect-oriented software development community. This is because all code analysis efforts that we are aware of have either built ad-hoc analysis tools or were performed manually. In this paper we present GASR: a source code analysis tool in the tradition of logic program querying that reasons over ASPECTJ source code. By hooking into the IDE plugins for ASPECTJ, GASR provides a library of predicates that can be used to query aspectual source code. We demonstrate the use of GASR by automating the recognition of a number of previously identified aspectual source code assumptions. We then detect assumption instances on two well-known case studies that were manually investigated in the earlier work. In addition to finding the already known aspect assumptions, GASR encounters assumption instances that were overlooked before.</p>},
	keywords = {Aspectual Assumptions, Logic Program Querying, spect Oriented Programming},
	author = {Fabry, Johan and Coen De Roover and Viviane Jonckers}
}
