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.
CITATION STYLE
Sáenz-Adán, C., Pérez, B., Huynh, T. D., & Moreau, L. (2018). UML2PROV: Automating provenance capture in software engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10706 LNCS, pp. 667–681). Springer Verlag. https://doi.org/10.1007/978-3-319-73117-9_47
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