@INPROCEEDINGS{Gueheneuc02-ASE-Caffeine,
  author = {Yann-Ga{\"e}l Gu{\'e}h{\'e}neuc and R{\'e}mi Douence and Narendra Jussien},
  title = {No {J}ava Without {C}affeine~-- {A} Tool for Dynamic Analysis of {J}ava Programs},
  booktitle = {Proceedings of the 17<sup>{th}</sup> Conference on Automated Software Engineering ({ASE})},
  year = {2002},
  month = {September},
  editor = {Wolfgang Emmerich and Dave Wile},
  publisher = {IEEE CS Press},
  note = {10 pages.},
  abstract = {To understand the behavior of a program, a maintainer reads some code, asks a question about this code, conjectures an answer, and searches the code and the documentation for confirmation of her conjecture. However, the confirmation of the conjecture can be error-prone and time-consuming because the maintainer has only static information at her disposal. She would benefit from dynamic information. In this paper, we present Caffeine{}, an assistant that helps the maintainer in checking her conjecture about the behavior of a Java{} program. Our assistant is a dynamic analysis tool that uses the Java{} platform debug architecture to generate a trace, \ie{} an execution history, and a \Prolog{} engine to perform queries over the trace. We present a usage scenario based on the n-queens problem, and two real-life examples based on the Singleton design pattern and on the composition relationship.},
  grant = {\ygg@company{Object Technology International, Inc.}},
  keywords = {Binary class relations ; ASE},
  kind = {MISA},
  language = {english},
  url = {http://www.ptidej.net/publications/documents/ASE02.doc.pdf},
  pdf = {http://www.ptidej.net/publications/documents/ASE02.ppt.pdf},
  pages = {117--126}
}

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