Code Generation by Example

Kevin Lano; Qiaomu Xue

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Paper

Code Generation by Example

Topics: Automated Code Generation; Model Transformation; Model Transformations and Generative Approaches

In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development MODELSWARD - Volume 1, 84-92, 2022

Authors: Kevin Lano and Qiaomu Xue

Affiliation: King’s College London, London, U.K.

Keyword(s): Code Generation, MDE, MTBE, CGBE.

Abstract: Code generation is a key technique for model-driven engineering approaches of software construction. Code generation enables the synthesis of applications in executable programming languages from high-level specifications in UML or a domain-specific language. Specialised code-generation languages and tools have been defined, such as Epsilon EGL and Acceleo, however the task of writing a code generator remains a substantial undertaking, requiring a high degree of expertise in both the source and target languages, and in the code-generation language. In this paper we show how symbolic machine learning techniques can be used to reduce the time and effort for developing code generators. We apply the techniques to the development of a UML-to-Java code generator.

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Paper citation in several formats:

Lano, K. and Xue, Q. (2022). Code Generation by Example. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-550-0; ISSN 2184-4348, SciTePress, pages 84-92. DOI: 10.5220/0010973600003119

@conference{modelsward22,
author={Kevin Lano. and Qiaomu Xue.},
title={Code Generation by Example},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2022},
pages={84-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010973600003119},
isbn={978-989-758-550-0},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - Code Generation by Example
SN - 978-989-758-550-0
IS - 2184-4348
AU - Lano, K.
AU - Xue, Q.
PY - 2022
SP - 84
EP - 92
DO - 10.5220/0010973600003119
PB - SciTePress