Cataloguing provenance-awareness with patterns

This paper explores the organization of provenance as a catalogue of non-functional requirement. The aim of this paper is to introduce a systematic approach to design a provenance catalogue for reuse using consolidated software engineering techniques. Provenance captures a derivation history of data products and is essential to the long-term preservation, to reuse, and to determine data quality. We propose the provenance catalogue that took into account NFR patterns and provenance taxonomies and specifications to define its softgoals. This work depicts a novel approach on provenance describing it as a Softgoal Interdependency Graph, a reusable framework that makes explicit characterization, decomposition, relationships and operationalization of elements that can be satisfied with the software. We exemplify the approach in a real usage scenario based on scientific software development.