Paper Info
Title
Automating Provenance Capture In Software Engineering With Uml2prov
Abstract
UML2PROV is an approach to address the gap between application design, through UML diagrams, and provenance design, using PROV-Template. Its original design (i) provides a mapping strategy from UML behavioural diagrams to templates, (ii) defines a code generation technique based on Proxy pattern to deploy suitable artefacts for provenance generation in an application, (iii) is implemented in Java, using XSLT as a first attempt to implement our mapping patterns. In this paper, we complement and improve this original design in three different ways, providing a more complete and accurate solution for provenance generation. First, UML2PROV now supports UML structural diagrams (Class Diagrams), defining a mapping strategy from such diagrams to templates. Second, the UML2PROV prototype is improved by using a Model Driven Development-based approach which not only implements the overall mapping patterns, but also provides a fully automatic way to generate the artefacts for provenance collection, based on Aspect Oriented Programming as a more expressive and compact technique for capturing provenance than the Proxy pattern. Finally, there is an analysis of the potential benefits of our overall approach.
Year
DOI
Venue
2018
10.1007/978-3-319-98379-0_5
PROVENANCE AND ANNOTATION OF DATA AND PROCESSES, IPAW 2018
Keywords
Field
DocType
Provenance data modeling and capture, PROV-Template, UML
Proxy pattern,Aspect-oriented programming,Software engineering,Unified Modeling Language,Computer science,Template,XSLT,Code (cryptography),Java,Class diagram
Conference
Volume
ISSN
Citations 
11017
0302-9743
0
PageRank 
References 
Authors
0.34
12
5
Name
Order
Citations
PageRank
Carlos Sáenz-Adán142.22
luc moreau22540184.04
Beatriz PéRez3547.28
Simon Miles41599109.29
Francisco J. García-Izquierdo561.46