Name
Abstract | ||
|---|---|---|
In response to the increasing calls for algorithmic accountability, UML2PROV is a novel approach to address the existing gap between application design, where models are described by UML diagrams, and provenance design, where generated provenance is meant to describe an application's flows of data, processes and responsibility, enabling greater accountability of this application. The originality o... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TSE.2020.2977016 | IEEE Transactions on Software Engineering |
Keywords | DocType | Volume |
Unified modeling language,Software,Proposals,Runtime,Data models,Tools | Journal | 48 |
Issue | ISSN | Citations |
1 | 0098-5589 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Sáenz-Adán | 1 | 4 | 2.22 |
| Beatriz Pérez | 2 | 0 | 0.34 |
| Francisco J. García-Izquierdo | 3 | 0 | 0.34 |
| luc moreau | 4 | 2540 | 184.04 |