Gabriella Castro Barbosa Costa , Claudia Werner , Regina Braga , Eldânae Nogueira Teixeira , Victor Ströele , Marco Antônio Pereira Araújo , Marcos Alexandre Miguel
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Design, Application and Evaluation of PROV-SwProcess: A PROV extension Data Model for Software Development Processes
The literature defines data provenance as the description of the origins of a piece of data and the process by which it arrived in a database. It helps to audit and understand data history and bring transparency to the process. Provenance has been successfully used in scientific computing, chemical industries, and health sciences, considering that these areas require a comprehensive traceability mechanism. Meanwhile, companies have been collecting and storing more data from their systems and processes. This work investigates if the use of provenance models and techniques can support software processes execution analysis and data-driven decision-making, considering the increasing availability of process data provided by companies. PROV-SwProcess, a software development process provenance modeling proposal, was developed and evaluated by process and provenance experts. Our proposal is an extension of the W3C recommended standard model PROV, aiming to capture and store the most relevant information about software development process provenance data. The results suggest that the model’s suitability improves and assists process managers in the software process analysis and supports data-driven decision-making.
期刊介绍:
The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.