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Practical Considerations in Automatic Code Generation
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Author(s): Paul Dietz (Motorola, USA), Aswin van den Berg (Motorola, USA), Kevin Marth (Motorola, USA), Thomas Weigert (Motorola, USA)and Frank Weil (Motorola, USA)
Copyright: 2007
Pages: 63
Source title:
Advances in Machine Learning Applications in Software Engineering
Source Author(s)/Editor(s): Du Zhang (California State University, USA)and Jeffery J.P. Tsai (University of Illinois at Chicago, USA)
DOI: 10.4018/978-1-59140-941-1.ch014
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Abstract
Model-driven engineering proposes to develop software systems by first creating an executable model of the system design and then transforming this model into an implementation. This chapter discusses how to automatically transform such design models into product implementations for industrial-strength systems. It provides insights, practical considerations, and lessons learned when developing code generators for applications that must conform to the constraints imposed by real-world, high-performance systems. This deeper understanding of the relevant issues will enable developers of automatic code generation systems to build transformation tools that can be deployed in industrial applications with stringent performance requirements.
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