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| Title | A Self-Replication Algorithm to Flexibly Match Execution Traces |
| Authors | Paul Leger, Éric Tanter |
| Publication date | 2012 |
| Abstract | Stateful aspects react to the history of a computation. Stateful aspect developers define program execution patterns of interest to which aspects react. Various stateful aspect languages have been proposed, each with non-customizable semantics for matching a join point trace. For instance, most languages allow multiple matches of a sequence when the associated context information is different. Obtaining a different matching semantics requires ad hoc modifications of the aspects, if at all possible. In order to allow flexible customization of the matching semantics of a given aspect, this paper presents a self-replication algorithm called MatcherCells. Through the composition of simple reaction rules, MatcherCells makes it possible to express a wide range of matching semantics, per aspect. In addition, we present an initial implementation of our proposal. |
| Pages | 27-32 |
| Conference name | Foundations of Aspect-Oriented Languages |
| Publisher | ACM Press (New York, NY, USA) |
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