[ecoop-info] CrowdRE'17 - extended DEADLINE: 9/06/17 abstract, 16/06/17 noon CET full paper

[Norbert Seyff]

CrowdRE 2017: Second International Workshop on Crowd-Based Requirements 
Engineering

*** Important Dates ***
Abstract Submission: 9 June 2017
Full Paper Submission: 16 June 2017, Noon CET(Extendend)
Notification: 30 June 2017
Camera Ready: 16 July 2017

https://crowdre.github.io/ws-2017/

Date: 4 September 2017
Place: Lisbon, Portugal

*** Motivation & Goal ***
The rise of mobile, social and cloud apps pose new challenges and 
opportunities to the field of requirements engineering (RE). Traditional 
techniques have difficulties scaling up to settings with thousands up to 
millions of users of a (software) product who form a large and 
heterogeneous group that can be denoted as a ‘crowd’. Researchers have 
identified several issues with applying RE in the new crowd paradigm. 
Initial methods and tools are being investigated, but we see the need 
for more tailored and holistic approaches focusing on Crowd-Based 
Requirements Engineering.
The Second Workshop on Crowd-Based Requirements Engineering (CrowdRE 
2017) builds on the success of its first edition, which achieved the 
unification of visions into a coherent RE approach. It aims to attract 
papers with novel and innovative ideas on CrowdRE, and to facilitate 
interactive discussions between scientists and representatives of 
industry in order to define a roadmap for CrowdRE, assess the role of 
CrowdRE in the software development lifecycle, and work towards a shared 
base of CrowdRE resources.

*** Key Questions & Themes of Interests ***
CrowdRE 2017 mainly aims at discussing key questions including:
* What are the achievements and contributions of CrowdRE approaches thus 
far? How do they contribute to improving RE?
* 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?
* In which parts of the software development lifecycle can CrowdRE play 
a vital role? Which parts are less suited, and why?
* How can data from such a large group of stakeholders be obtained and 
interpreted?
* Can a sufficient sample size be reached? In what way can crowd members 
be motivated to contribute the user feedback we require of them? How can 
the reliability of individual crowd members and of the data in general 
be determined?
* Assuming that the stakeholders form a crowd, how are requirements best 
elicited, documented, validated, negotiated and managed? How are data 
from the crowd best obtained and interpreted?
* Which limitations and risks are associated with proposed alternatives, 
and how can they be overcome?
* In what way could techniques from Big Data Analytics be leveraged to 
analyse heterogeneous and large datasets as a new source for new/changed 
requirements?
* What are common denominators of existing and emerging approaches to 
make RE more suitable for CrowdRE? How can these approaches complement 
one another? What are the gaps that have not yet been covered by these 
solutions?
* Where do the opportunities to collaborate lie? To what extent can the 
various fields of work be integrated, and where will approaches remain 
different?

*** Workshop Topics ***
The following themes of interest for paper submission include, but are 
not limited to:
* CrowdRE
* Analysis of user feedback for RE using Big Data
* Natural language processing, Information Retrieval, Machine Learning, 
ontologies
* Crowd-based monitoring and usage mining approaches
* Integration of RE and crowd analysis approaches borrowed from other 
disciplines
* Application scenarios of CrowdRE
* The contribution of CrowdRE to prioritization, software adaptation, 
testing and other software engineering aspects
* The intersection of RE and domains such as sociology, psychology, 
human factors, and anthropology
* Approaches to motivate, steer, and boost creativity in the crowd
* Automated RE and the role of the requirements engineer
* Automated RE and data (safeguarding rollback, privacy, traceability 
and data integrity; measuring validity, reliability, source quality; 
processing of rejected data)
* Platforms and tools supporting CrowdRE

*** Paper Submission and Selection Process ***
CrowdRE is looking for general submissions containing original research 
(up to 6 pages LNCS format submitted through EasyChair:
https://easychair.org/conferences/?conf=crowdre2017
We welcome original submissions from research and practice in the 
following categories (depending on the paper type 4 to 6 pages IEEE 
format):
* Competition papers describing a solution idea to the problem scenario 
provided on our website, https://crowdre.github.io/ws-2017/
* 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 providing insights from RE practice and potential 
for applications in settings that involve a crowd
See the workshop website for details on all paper categories we accept. 
Each submission will be reviewed by three reviewers.
All accepted papers will be published in the joint RE 2017 workshop 
proceedings.

*** Past Editions of the Workshop ***
CrowdRE 2015 at RE'15: https://sse.uni-due.de/crowdre15/

*** CrowdRE Program Committee ***
Nirav Ajmeri, North Carolina State University (USA)
Raian Ali, Bournemouth University (UK)
Daniel Berry, University of Waterloo (Canada)
Travis D. Breaux, Carnegie Mellon University (USA)
Fabiano Dalpiaz, Utrecht University (the Netherlands)
Daniela Damian, University of Victoria (Canada)
Joerg Doerr, Fraunhofer IESE (Germany)
Anthony Finkelstein, University College London (UK)
Vicenzo Gervasi, University of Pisa (Italy)
Sarah Gregory, Intel Corporation (USA)
Emitzá Guzmán, Tech. University of Munich (Germany)
Irit Hader, University of Haifa (Israel)
Mahmood Hosseini, University of Massachusetts (USA)
Marjo Kauppinen, University of Helsinki (Finland)
Zhi Jin, Peking University (China)
Fitsum M. Kifetew, Fondazione Bruno Kessler (Italy)
Tong Li, University of Trento (Italy)
Soo Ling Lim, University College London (UK)
Walid Maalej, University of Hamburg (Germany)
Marc Oriol, Universitat Politècnica de Catalunya (Spain)
Itzel Morales Ramírez, Fondazione Bruno Kessler (Italy)
Björn Regnell, Lund University (Sweden)
Kurt Schneider, Leibniz Universität Hannover (Germany)
Munidar P. Singh, North Carolina State University (USA)
Irina Todoran Koitz, Siemens (Switzerland)

*** Workshop Organizers ***
Xavier Franch, Universitat Politècnica de Catalunya (Spain) - General 
Chair
Anna Perini, Fondazione Bruno Kessler (Italy) - General Chair
Eduard C. Groen, Fraunhofer IESE (Germany)
Pradeep K. Murukannaiah, Rochester Institute of Technology (USA)
Norbert Seyff, FHNW & University Zurich (Switzerland)