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Identifying Code Generation Candidates Using Software Categories

  • Conference paper
  • First Online:
Model-Driven Engineering and Software Development (MODELSWARD 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 580))

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Abstract

Code generators are a crucial part of the model-driven development (MDD) approach. They systematically transform abstract models to concrete executable source code. Typically, a generator developer determines the code parts that should be generated and separates them from handwritten code. Since performed manually, this task often is time-consuming, labor-intensive, difficult to maintain and may produce more code than necessary. This paper presents an iterative approach for identifying candidates for generated code by analyzing the dependencies of categorized code parts. Dependency rules are automatically derived from a predefined software category graph and serve as basis for the categorization process. Generator developers can use this approach to systematically identify code generation candidates. The ideas and concepts of this paper were introduced at the MODELSWARD conference [1] and are extended in this contribution.

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Notes

  1. 1.

    The example is taken from [14] and reduced to only the aspects required to explain our approach.

  2. 2.

    This game (in German called Schafkopf or Schaffkopf) is a popular and complex Bavarian card game with thirty-two cards where four players play in dynamic alliances. The English translation Sheepshead is actually wrong as it comes from ancient times where the game was played on top (kopf) of a barrel (schaff). It has nothing to do with sheep.

  3. 3.

    Note that Swing classes are global (belonging to the JDK) and well-tested; hence meet the criteria of the category 0. But –as usually the user-interface should be exchangeable– Swing classes are not necessarily global in a specific software system.

  4. 4.

    In [14] also the Representation (R) category is presented. This category contains only software for transforming A category software to T and vice versa. It is a kind of cleaner version of AT. To demonstrate our approach, the R category can be neglected.

  5. 5.

    Note that a D-class that depends on a T-class is rather a DT-class.

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Authors and Affiliations

  1. Software Engineering, RWTH Aachen University, Aachen, Germany

    Pedram Mir Seyed Nazari & Bernhard Rumpe

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  1. Pedram Mir Seyed Nazari
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  2. Bernhard Rumpe
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Correspondence to Pedram Mir Seyed Nazari .

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Editors and Affiliations

  1. SOFTEAM, Paris, France

    Philippe Desfray

  2. Department of Systems and Informatics, Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

  3. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  4. University of Twente, Enschede, The Netherlands

    Luís Ferreira Pires

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Mir Seyed Nazari, P., Rumpe, B. (2015). Identifying Code Generation Candidates Using Software Categories. In: Desfray, P., Filipe, J., Hammoudi, S., Pires, L. (eds) Model-Driven Engineering and Software Development. MODELSWARD 2015. Communications in Computer and Information Science, vol 580. Springer, Cham. https://doi.org/10.1007/978-3-319-27869-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-27869-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27868-1

  • Online ISBN: 978-3-319-27869-8

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