Conference Information
REFSQ 2022: Requirements Engineering: Foundation for Software Quality
https://conf.researchr.org/home/refsq-2022
Submission Date:
2021-10-25 Extended
Notification Date:
2021-12-20
Conference Date:
2022-03-21
Location:
Aston, Birmingham, UK
Years:
28
CCF: c   Viewed: 12975   Tracked: 26   Attend: 4

Call For Papers
Requirements Engineering (RE) is a critical factor in developing high-quality and successful software, systems, and services. The REFSQ working conference series is an established international forum for discussing current and state-of-the-art RE practices, celebrating its 28th edition.

Working Conference Format

REFSQ has a long tradition of being a highly structured and interactive event. Each session is organized to emphasize discussion among the presenters of papers, pre-assigned discussants, and all the other participants. The REFSQ 2022 program will include keynote speakers, technical papers, research previews, industrial presentations, as well as posters and tools. Workshops and the REFSQ doctoral symposium will be co-located with the main conference.

Scope

REFSQ 2022 seeks reports of novel ideas and techniques that enhance the quality of RE products and processes, reflections on current research and industrial RE practices, as well as new views on RE. We invite submissions on any aspect of RE. We encourage researchers and practitioners from the RE, software engineering, information systems, service science, embedded systems, and product management fields to present original work. RE methods, tools, and processes are expected to support engineering diverse types of systems of different scales and complexity and are applied in diverse domains. As such, contributions from related areas such as systems engineering, economics, and management, providing insights to RE, are welcome.

The special theme of REFSQ 2022 is “Explainability in RE” including how to elicit, specify and validate requirements for explainability in (and thus accountability of) software system, and how to design and implement systems whose behavior in specific instances is explainable, back to their requirements and associated rationale.
Last updated by Dou Sun in 2021-10-23
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