The 8th International Workshop on Crowd-Based Requirements Engineering (CrowdRE'24)



24 June 2024
Held in Reykjavik, Iceland
In conjunction with RE 2024

Submissions

Submission site: EasyChair

Submission deadline: 27 March 3 April 2024 AoE time, strict!

We welcome original submissions from research and practice in the following categories:

  • Technical solution papers providing research results with an early validation, which may include tool showcases (4–6 pages + 1 page for references).
  • Experience reports providing insights on existing RE practice and potential for application in settings that involve a crowd (4–6 pages + 1 page for references).
  • Problem statements explaining industry problems in settings with a large group of stakeholders (2–3 pages).
  • Vision statements explaining exploratory ideas, especially towards technology transfer into practice (2–3 pages).
  • Conference-first extended abstracts of recent conference contributions that fit CrowdRE's themes (1 page). Only CrowdRE-related papers published in conferences other than the RE conference and its collocated events are eligible.

Submissions must describe original works that have not been previously published (except for conference-first extended abstracts), are not currently submitted elsewhere, and address at least one of the workshop topics listed below.

Submissions must be written in English and formatted according to the IEEE formatting instructions. All accepted papers will be published in the joint RE 2024 workshop proceedings.

At least one author of every accepted manuscript is expected to attend the entire workshop and present their research.

Important Dates
  • Abstract Submission: 20 March 2024
  • Paper Submission: 3 April 2024
  • Notification: 29 April 2024
  • Camera Ready: 06 May 2024
  • Workshop: 24 June 2024

All deadlines at 23:59:59 AoE.

Workshop Topics

The following themes of interest for paper submission include but are not limited to, the following topics. However, each paper should address at least one of these topics:

  • Crowd-based Requirements Engineering (CrowdRE)
  • Analysis of user feedback for RE using Big Data and mining
  • Natural language processing, Information Retrieval, (supervised and unsupervised) Machine Learning, ontologies
  • Crowd-based monitoring and usage mining approaches
  • Case studies and Use Cases involving CrowdRE
  • Process descriptions of implementing or performing CrowdRE
  • Method descriptions that can be applied in CrowdRE
  • The role of the requirements engineer in CrowdRE
  • Contributions of CrowdRE to RE and software engineering
  • The intersection of RE and domains such as sociology, psychology, human factors, and anthropology
  • Approaches to motivate, steer, and boost creativity in the crowd and understand, diversify, and engage a crowd for RE
  • Automated RE and data (safeguarding rollback, privacy, traceability, and data integrity; measuring validity, reliability, source quality; the processing of rejected data)
  • Platforms and tools supporting CrowdRE

Key Topics

Submitted papers should ideally provide contributions relevant to addressing one or more of the following key topics that CrowdRE will mainly focus on based on its two main themes Exploiting Large Language Models and Generative AI in CrowdRE and Broadening the Reach and Perception of CrowdRE:

  • Current developments in RE such as generative AI, responsible, trustworthy & explainable AI, sustainability, human values, needs & goals, and diversity & inclusion
  • Applications of artificial intelligence (AI), machine learning, and natural language processing for CrowdRE
  • The effects of current developments in RE on CrowdRE, its individual stakeholders, their contributions, and on the crowd as a whole
  • New or revised theories, approaches, and methods for CrowdRE that include current developments in RE, in particular those that foster trans- and interdisciplinarity and industry applicability
  • Case studies with lessons learned from practical, industry-oriented, multidisciplinary, and cross-domain collaborations that involve CrowdRE
  • New or revised methods for CrowdRE inspired, learned, or adapted from other disciplines