REFSQ2020 Workshop, March 24 2020, Pisa, Italy
Length 8 pages (plus 1 page for references), describing novel technical solutions for the application of NLP technologies to RE-relevant artifacts. The papers in this category include preliminary solutions to RE problems, with an early validation.
Length 8 pages (plus 1 page for references), describing practical experiences in the application of NLP technologies to RE-relevant artifacts. The papers in this category include experience reports, industrial case studies, controlled experiments, and other types of empirical studies conducted to practically assess existing technical solutions.
Length 4 pages (plus 1 page for references), in which the authors provide an overview on the current and past research of their team, describing what they have been doing on the workshop's topics, and/or what they are doing, and/or what they plan to do. These contributions do not require novelty with respect to previous work, and are oriented to foster discussion and networking. A non-mandatory template for Report Papers can be dowloaded here. Please notice that we do not allow submission of Report Papers from teams who submitted these types of papers to NLP4RE'18 and NLP4RE'19
Length 4 pages (plus 1 page for references), outlining roadmaps for research in the workshop's topics, including industrial and research challenges based on currently available knowledge. Specifically, we encourage contributions that highlight challenges faced by industrial practitioners when dealing with requirements expressed in NL, and faced by academics in technology transfer studies.
Length 4 pages (including screenshots and references), in which the authors provide a short description of an NLP-based tool for RE with screenshots, together with a clear plan for a demo at the workshop. These contributions do not require novelty with respect to previous work, and the authors can also showcase tools that have been presented in past conferences and workshops. These papers will be evaluated based on the potential interest raised by the tool, and based on the clarity of the plan for the demo.
ReqEval reports should include at least a description of the system developed to tackle the task, results obtained against the test set provided, a discussion of these results including lessons learned.
Submissions should be written in English and submitted in PDF format (page size A4, single column) formatted according to the CEUR Proceedings Style:
All papers will be peer-reviewed by three members of the Program Committee, and will appear in the CEUR Workshop Proceedings, with ISBN number.