Provenance Meets Bidirectional Transformations

Authors: 

Anthony Anjorin, Paderborn University; James Cheney, University of Edinburgh and The Alan Turing Institute

Abstract: 

Bidirectional transformations (bx) manage consistency between different independently-changing data structures, such as software engineering models. Many bx tools construct, exploit, and maintain various auxiliary structures required for correct and efficient consistency management. These data structures seem analogous to provenance in other settings, but their design is often ad hoc and implementationdependent. However, it is increasingly urgent to rationalize their design and use as first-class explanations, to help users understand complex system behavior. In this paper we explore whether and how these auxiliary structures can already be viewed as forms of provenance, and outline open questions and possible future directions for provenance in bidirectional transformations, and vice versa.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {235854,
author = {Anthony Anjorin and James Cheney},
title = {Provenance Meets Bidirectional Transformations},
booktitle = {11th International Workshop on Theory and Practice of Provenance (TaPP 2019)},
year = {2019},
address = {Philadelphia, PA},
url = {https://www.usenix.org/conference/tapp2019/presentation/anjorin},
publisher = {{USENIX} Association},
month = jun,
}