By Oscar Nierstrasz, Stéphane Ducasse, Serge Demeyer (auth.), Robert Glück, Michael Lowry (eds.)
This e-book constitutes the refereed complaints of the 4th foreign convention on Generative Programming and part Engineering, GPCE 2005, held in Tallinn, Estonia, in September/October 2005.
The 25 revised complete papers awarded including 2 software demonstration papers have been conscientiously chosen from 86 preliminary submissions following a around of reviewing and development. The papers, which come with 3 complete invited papers, are prepared in topical sections on aspect-oriented programming, part engineering and templates, demonstrations, domain-specific languages, generative suggestions, widely used programming, meta-programming and transformation, and multi-stage programming.
Read or Download Generative Programming and Component Engineering: 4th International Conference, GPCE 2005, Tallinn, Estonia, September 29 - October 1, 2005. Proceedings PDF
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Additional resources for Generative Programming and Component Engineering: 4th International Conference, GPCE 2005, Tallinn, Estonia, September 29 - October 1, 2005. Proceedings
276–291. American Institute of Physics, 2003. 28 E. Denney and B. Fischer [FL+ 02] C. Flanagan, K. R. M. Leino, M. Lillibridge, G. Nelson, J. B. Saxe, and R. Stata. “Extended static checking for Java”. In L. J. ), Proc. ACM Conf. Programming Language Design and Implementation 2002, pp. 234–245. ACM Press, 2002. Published as SIGPLAN Notices 37(5). [FS03] B. Fischer and J. Schumann. “AutoBayes: A System for Generating Data Analysis Programs from Statistical Models”. J. Functional Programming, 13(3):483–508, 2003.
In M. S. Feather and M. ), Proc. 16th Intl. Conf. Automated Software Engineering, pp. 118–125. IEEE Comp. Soc. Press, 2001. [MI+ 97] M. Moser, O. Ibens, R. Letz, J. Steinbach, C. Goller, J. Schumann, and K. Mayr. “The Model Elimination Provers SETHEO and E-SETHEO”. J. Automated Reasoning, 18:237–246, 1997. [Mit96] J. C. Mitchell. Foundations for Programming Languages. MIT Press, 1996. [Nec97] G. C. Necula. “Proof-Carrying Code”. In Proc. 24th ACM Symp. Principles of Programming Languages, pp. 106–19.
This allows a concise and fully declarative formulation of the problem together with 20 E. Denney and B. Fischer some details of the desired configuration and architecture of the code to be generated. AUTO BAYES uses a specification language that is very close to the generative statistical models used in Bayesian statistics, while AUTO F ILTER uses a more control engineering-oriented notation to formulate process models. 3 Certification Architecture Our certification approach generally follows similar lines as proof carrying code (PCC) [Nec97]; in particular, the role of the extended code generator as producer of annotated target code is very similar to that of a certifying compiler [NL98, CL+ 00] in the PCC approach.