Dark Knowledge and Graph Grammars in Automated Software Design

Citation:
Batory D, Gonçalves RC, Marker B, Siegmund J.  2013.  Dark Knowledge and Graph Grammars in Automated Software Design. SLE '13: Proceeding of the 6th International Conference on Software Language Engineering.

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.

Citation Key:

Batory:2013

DOI:

10.1007/978-3-319-02654-1_1