Crossver: a Code Transformation Language for Crosscutting Changes (bibtex)
by Kouhei Sakurai and Hidehiko Masuhara
Abstract:
Software evolution sometimes requires changes of module interfaces, which in turn cause crosscutting changes, or changes of module clients that are spreading over a program. Such changes on the client-side can be too complicated to be automatically achieved by text replacement and refactoring tools. We propose a code transformation language, called Crossver, for consistently updating code fragments in a program. Crossver offers a source-level pattern sublanguage to express complicated transformation conditions. The patterns are robust against variety among clients thanks to the dataflow-based pattern matcher. In the paper, we overview the design and core semantics of Crossver.
Reference:
Crossver: a Code Transformation Language for Crosscutting Changes (Kouhei Sakurai and Hidehiko Masuhara), In Proceedings of the 9th International Workshop on Advanced Modularization Techniques (AOAsia/Pacific 2014), 2014.
Bibtex Entry:
@inproceedings{sakurai2014aoasia,
  author = {Kouhei Sakurai and Hidehiko Masuhara},
  title = {{Crossver}: a Code Transformation Language for Crosscutting Changes},
  url = {http://prg.is.titech.ac.jp/events/aoasia14/},
  pdf = {aoasia2014.pdf},
  booktitle = {Proceedings of the 9th International Workshop on Advanced Modularization Techniques (AOAsia/Pacific 2014)},
  year = 2014,
  month = nov,
  date = {2014-11-16},
  location = {Hong Kong},
  keywords = {Java},
  abstract = {Software evolution sometimes requires changes of module interfaces, which in turn cause crosscutting changes, or changes of module clients that are spreading over a program. Such changes on the client-side can be too complicated to be automatically achieved by text replacement and refactoring tools. We propose a code transformation language, called Crossver, for consistently updating code fragments in a program. Crossver offers a source-level pattern sublanguage to express complicated transformation conditions. The patterns are robust against variety among clients thanks to the dataflow-based pattern matcher. In the paper, we overview the design and core semantics of Crossver.}
}
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