[ecoop-info] Call for Paper - CrowdRE 2015

seyff seyff at ifi.uzh.ch
Tue May 12 20:16:49 CEST 2015

1st International Workshop on Crowd-Based Requirements Engineering 
(CrowdRE 2015)

see: https://sse.uni-due.de/crowdre15/

Collocated with RE 2015 – Tuesday, August 25, 2015

Important Dates
- Paper submission: June 9th, 2015
- Notification: June 30th, 2015
- Camera-ready: July 15th, 2015

Motivation and Goals

The rise of mobile, social and cloud apps pose new challenges and 
opportunities to the field of RE. Thousands or even millions of 
stakeholders communicate with one another, thereby forming a distributed 
and heterogeneous group, i.e. a ‘crowd’ that exchanges wishes, needs, 
innovative ideas and problems they encountered while using apps. 
Traditional requirements engineering (RE) techniques have difficulties 
scaling up in such ‘crowd’ settings. The unique opportunities of 
involving larger numbers of stakeholders motivated researchers and 
practitioners to start working at appropriate methods and tools, but we 
see the need for more tailored and holistic approaches for crowd-based 

The workshop on Crowd-Based Requirements Engineering (CrowdRE) therefore 
aims to play a pivotal role in bringing researcher experts and 
practitioners together, and provide them with a platform to exchange 
their visions on this subject. A central topic will be how requirements 
are best elicited, documented, validated, negotiated and managed in a 
setting that involves a crowd.


The following themes of interest for paper submission include, but are 
not limited to:
- Crowd-Based RE
- RE with Big Data
- Integration of RE and approaches borrowed from other disciplines
- Application scenarios of Crowd-Based RE
- The intersection of sociology and RE
- Automated RE and the role of the requirements engineer
- Automated RE and data (safeguarding rollback, traceability and data 
integrity; measuring validity, reliability, source quality; processing 
of rejected data)
- Platforms and tools supporting Crowd-Based RE

Submitted papers should ideally provide contributions relevant to 
answering one or more of the following key questions:
- Is it necessary, useful and desirable to consider how RE can be made 
suitable for settings in which the stakeholders can be considered a 
- What are the risks of going beyond the borders of the ‘brown field’ 
domain of RE? To what extent are these risks acceptable? What can be 
done to mitigate these risks?
- How to obtain and interpret data from such a large group of 
stakeholders? Can a sufficient sample size be reached and people 
motivated to contribute?
- Can we leverage techniques from Big Data analytics to analyse 
heterogeneous - and large data sets as new sources for new/ changed 
- What are common denominators of existing and emerging approaches to 
make RE more suitable for Crowd-Based RE? Do they complement one 
another? What are the gaps that have not yet been covered by these 
- Where do the opportunities to collaborate lie? To what extent can the 
various views be reconciled, and where will opinions remain different?
- What are the central application domains for a Crowd-Based RE 
approach? How can a holistic solution find a practical application in 
these domains?


Original submissions (up to 6 pages) from research and practice in the 
following categories are welcome:
- Competition papers describing a solution idea to the problem scenario 
described below
- Technical solution papers describing original research results
- Problem statements explaining industry problems in settings with a 
large group of stakeholders
- Vision statements explaining strongly explorative ideas
- Experience reports that give insights in existing RE practice and 
potential for application in settings that involve a crowd

Papers must describe original work that has not been previously 
published or submitted elsewhere. Submissions must be written in English 
and formatted according to the IEEE formatting instructions.

Submissions will be managed through Easychair.

Program Committee
Raian Ali, Bournemouth University (UK)
Daniel Berry, University of Waterloo (Canada)
Sjaak Brinkkemper, Utrecht University (The Netherlands)
Fabiano Dalpiaz, Utrecht University (The Netherlands)
Daniela Damian, University of Victoria (Canada)
Anthony Finkelstein, University College London (UK)
Vicenzo Gervasi, University of Pisa (Italy)
Emitzá Guzmán, Tech. University of Munich (Germany)
Mahmood Hosseini, Bournemouth University (UK)
Marjo Kauppinen, University of Helsinki (Finland)
Eric Knauss, University of Gothenburg (Sweden)
Soo Ling Lim, University College London (UK)
Walid Maalej, University of Hamburg (Germany)
Itzel Morales Ramírez, Fondazione Bruno Kessler (Italy)
Björn Regnell, Lund University (Sweden)
Pete Sawyer, Lancaster University (UK)
Kurt Schneider, Leibniz Universität Hannover (Germany)
Alistair Sutcliffe, University of Manchaster (UK)
Irina Todoran, University of Zurich (Switzerland)

Sebastian Adam, Fraunhofer IESE, Kaiserslautern (Germany)
Andreas Metzger, Univ. of Duisburg-Essen (Germany)
Anna Perini, Fondazione Bruno Kessler (Italy)
Norbert Seyff, University Zurich, Zurich (Switzerland)

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