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UML2PROV: Automating Provenance Capture in Software Engineering

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SOFSEM 2018: Theory and Practice of Computer Science (SOFSEM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10706))

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Abstract

In this paper we present UML2PROV, an approach addressing the gap between application design, through UML diagrams, and provenance design, using PROV-Template. PROV-Template is a declarative approach that enables software engineers to develop programs that generate provenance following the PROV standard. The main contributions of this paper are: (i) a mapping strategy from UML diagrams (UML State Machine and Sequence diagrams) to templates, (ii) a code generation technique that creates libraries, which can be deployed in an application by creating suitable artefacts for provenance generation, and (iii) a demonstration of the feasibility of UML2PROV implemented with Java, and a preliminary quantitative evaluation that shows benefits regarding aspects such as design, development and provenance capture.

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Acknowledgements

This work was partially supported by the spanish MINECO project EDU2016-79838-P, and by the University of La Rioja (grant FPI-UR-2015).

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of La Rioja, Logroño, La Rioja, Spain

    Carlos Sáenz-Adán & Beatriz Pérez

  2. Department of Electronics and Computer Science, University of Southampton, Southampton, UK

    Trung Dong Huynh

  3. Department of Informatics, King’s College London, London, UK

    Luc Moreau

Authors
  1. Carlos Sáenz-Adán
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  2. Beatriz Pérez
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  3. Trung Dong Huynh
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  4. Luc Moreau
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Corresponding author

Correspondence to Carlos Sáenz-Adán .

Editor information

Editors and Affiliations

  1. Vienna University of Technology , Vienna, Austria

    A Min Tjoa

  2. ISAE-ENSMA, Chasseneuil-du-Poitou, France

    Ladjel Bellatreche

  3. Vienna University of Technology, Vienna, Austria

    Stefan Biffl

  4. Utrecht University, Utrecht, The Netherlands

    Jan van Leeuwen

  5. Academy of Sciences, Prague, Czech Republic

    Jiří Wiedermann

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Sáenz-Adán, C., Pérez, B., Huynh, T.D., Moreau, L. (2018). UML2PROV: Automating Provenance Capture in Software Engineering. In: Tjoa, A., Bellatreche, L., Biffl, S., van Leeuwen, J., Wiedermann, J. (eds) SOFSEM 2018: Theory and Practice of Computer Science. SOFSEM 2018. Lecture Notes in Computer Science(), vol 10706. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-73117-9_47

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  • DOI: https://doi.org/10.1007/978-3-319-73117-9_47

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  • Publisher Name: Edizioni della Normale, Cham

  • Print ISBN: 978-3-319-73116-2

  • Online ISBN: 978-3-319-73117-9

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