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UML2PROV: Automating provenance capture in software engineering

UML2PROV: Automating provenance capture in software engineering
UML2PROV: Automating provenance capture in software engineering

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.

PROV-Template, Provenance data modeling and capture, UML
0302-9743
667-681
Springer Verlag
Sáenz-Adán, Carlos
c752e854-e029-4190-964b-219053afd11a
Pérez, Beatriz
c012bd51-56ea-4160-9e4b-8b1646e96770
Huynh, Trung Dong
ddea6cf3-5a82-4c99-8883-7c31cf22dd36
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Sáenz-Adán, Carlos
c752e854-e029-4190-964b-219053afd11a
Pérez, Beatriz
c012bd51-56ea-4160-9e4b-8b1646e96770
Huynh, Trung Dong
ddea6cf3-5a82-4c99-8883-7c31cf22dd36
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8

Sáenz-Adán, Carlos, Pérez, Beatriz, Huynh, Trung Dong and Moreau, Luc (2017) UML2PROV: Automating provenance capture in software engineering. In SOFSEM 2018: Theory and Practice of Computer Science - 44th International Conference on Current Trends in Theory and Practice of Computer Science, Proceedings. vol. 10706 LNCS, Springer Verlag. pp. 667-681 . (doi:10.1007/978-3-319-73117-9_47).

Record type: Conference or Workshop Item (Paper)

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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More information

e-pub ahead of print date: 22 December 2017
Venue - Dates: 44th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2018, Austria, 2018-01-29 - 2018-02-02
Keywords: PROV-Template, Provenance data modeling and capture, UML

Identifiers

Local EPrints ID: 418231
URI: http://eprints.soton.ac.uk/id/eprint/418231
ISSN: 0302-9743
PURE UUID: 1e5f6997-bdeb-439e-8e35-c031601cec30
ORCID for Trung Dong Huynh: ORCID iD orcid.org/0000-0003-4937-2473
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 26 Feb 2018 17:30
Last modified: 07 Oct 2020 00:47

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Contributors

Author: Carlos Sáenz-Adán
Author: Beatriz Pérez
Author: Trung Dong Huynh ORCID iD
Author: Luc Moreau ORCID iD

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