Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/7515
Title: Dark knowledge and graph grammars in automated software design
Authors: Batory,D
Rui Carlos Gonçalves
Marker,B
Siegmund,J
Issue Date: 2013
Abstract: Mechanizing the development of hard-to-write and costly-to-maintain software is the core problem of automated software design. Encoding expert knowledge (a.k.a. dark knowledge) about a software domain is central to its solution. We assert that a solution can be cast in terms of the ideas of language design and engineering. Graph grammars can be a foundation for modern automated software development. The sentences of a grammar are designs of complex dataflow systems. We explain how graph grammars provide a framework to encode expert knowledge, produce correct-by-construction derivations of dataflow applications, enable the generation of high-performance code, and improve how software design of dataflow applications can be taught to undergraduates. © 2013 Springer International Publishing.
URI: http://repositorio.inesctec.pt/handle/123456789/7515
http://dx.doi.org/10.1007/978-3-319-02654-1_1
metadata.dc.type: conferenceObject
Publication
Appears in Collections:Non INESC TEC publications - Articles in International Conferences

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