Knowledge industry survival strategy (kiss): fundamental principles and interoperability requirements for domain specific modeling languages

BETTIN, Jorn, COOK, William, CLARK, Anthony and KELLY, Steven (2009). Knowledge industry survival strategy (kiss): fundamental principles and interoperability requirements for domain specific modeling languages. In: 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications, Orlando, Florida, 25-29 October 2009. 709-710.

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Abstract

Domain Specific Languages are raising the level of abstraction of software specifications and of knowledge represen-tation in general. When DSLs are used to formalize the results of domain analysis, the result is a clean separation of concerns in the problem space. This is a major advance over aspect oriented programming, where separation of concerns is only achieved in the solution space. However, the level of interoperability between current DSL tools is comparable to the level of interoperability between CASE tools in the 90s. To increase the popularity of DSL based approaches, this needs to change. Software development has become highly decentralized, and an assumption that all parties in a global software supply chain will use identical tooling is simply not realistic. As a result today's software supply chains are much less automated than supply chains in other, more mature industries. The KISS series of workshops is used to incrementally establish a consensus on the fundamental principles that underpin the use of DSLs, and to improve DSL tool interoperability.

Item Type:	Conference or Workshop Item (Paper)
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Page Range:	709-710
Depositing User:	Tony Clark
Date Deposited:	12 Apr 2016 10:28
Last Modified:	18 Mar 2021 18:16
URI:	https://shura.shu.ac.uk/id/eprint/11926

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