=Paper=
{{Paper
|id=Vol-3122/NLP4RE-preface
|storemode=property
|title=Preface: 5th Workshopon Natural Language Processing for Requirements Engineering (NLP4RE)
|pdfUrl=https://ceur-ws.org/Vol-3122/NLP4RE-preface.pdf
|volume=Vol-3122
|authors=Fabiano Dalpiaz,Davide Dell’Anna,Sylwia Kopczyńska,Lloyd Montgomery
|dblpUrl=https://dblp.org/rec/conf/refsq/DalpiazDKM22
}}
==Preface: 5th Workshopon Natural Language Processing for Requirements Engineering (NLP4RE)==
https://ceur-ws.org/Vol-3122/NLP4RE-preface.pdf
5th Workshop on Natural Language Processing for
Requirements Engineering (NLP4RE)
Fabiano Dalpiaz1 , Davide Dell’Anna2 , Sylwia Kopczyńska3 and Lloyd Montgomery4
1
Utrecht University, The Netherlands
2
Delft University of Technology, The Netherlands
3
Poznan University of Technology, Poland
4
University of Hamburg, Germany
1. Introduction
Natural language processing (NLP) plays an important role in several areas of software en-
gineering, including requirements engineering (RE). Requirements are often authored and
communicated textually and with different degrees of formality, from structured (e.g., shall
statements, user stories) to unstructured natural language. Moreover, in the last few years, the
advent of massive and heterogeneous sources, such as tweets and app reviews, has attracted
even more interest from the RE community, as demonstrated by the increasing number of
scientific papers on this topic in conferences like ICSE, RE, and REFSQ.
The workshop on Natural Language Processing for Requirements Engineering (NLP4RE) was
established in 2018 as a venue to foster communication between researchers and practitioners
interested in the areas of RE and NLP. Through the previous four editions, the NLP4RE workshop
has been constantly successful gathering at least 8 submissions and over 20 participants.
This year, in 2022, the 5th edition was organized in Aston, Birmingham, The United Kingdom.
As the previous editions, NLP4RE was co-located with the International Working Conference
on Requirements Engineering: Foundation for Software Quality.
The workshop received five submissions. Each submission was independently reviewed by
four program committee members, and, as a result, four of them were accepted. There was no
single theme set for the workshop, and thus, the presentations of the accepted papers covered
various topics related to NLP and RE. One concerned the detection of privacy requirements
from user stories, another discussed the detection of ambiguities in requirements. The two other
papers focused on automated requirements formalization using product design specification
and supporting validation in RE with natural language generation, respectively.
In: J. Fischbach, N. Condori-Fernández, J. Doerr, M. Ruiz, J.-P. Steghöfer, L. Pasquale, A. Zisman, R. Guizzardi, J.
Horkoff, A. Perini, A. Susi, M. Daneva, A. Herrmann, K. Schneider, P. Mennig, F. Dalpiaz, D. Dell’Anna, S. Kopczyńska, L.
Montgomery, A. G. Darby, and P. Sawyer (eds.): Joint Proceedings of REFSQ-2022 Workshops, Doctoral Symposium, and
Poster & Tools Track, Birmingham, UK, 21-03-2022
$ f.dalpiaz@uu.nl (F. Dalpiaz); d.dellanna@tudelft.nl (D. Dell’Anna); sylwia.kopczynska@cs.put.poznan.pl
(S. Kopczyńska); lloyd.montgomery@uni-hamburg.de (L. Montgomery)
0000-0003-4480-3887 (F. Dalpiaz); 0000-0002-1162-8341 (D. Dell’Anna); 0000-0002-9550-3334 (S. Kopczyńska);
0000-0002-8249-1418 (L. Montgomery)
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org)
Due to the number of submissions, which might be the effect of the pandemic COVID-19,
the organizers of NLP4RE and of another workshop–Requirements Engineering for Artificial
Intelligence (RE4AI)–decided to join the two events into a one-day workshop. Therefore, during
the workshop the participants had the opportunity to listen to six presentations of research
works.
After the presentations of research papers, the participants of the workshop listened to
the keynote given by Dr. Nicole Novielli on “On Designing SE-specific Sentiment Analysis
Tools”. She raised several interesting and thought-provoking questions such as: Do you like
your code? What kind of code makes developers happiest? What makes them angriest? Is
it possible to monitor the mood of a large team of coders to determine when and where a
codebase needs additional help? How do emotions act as a proxy for developers’ well-being
and productivity? Next, she provided an overview of recent research about sentiment analysis
in software engineering, open challenges, and empirically-based guidelines for safe (re)use of
SE-specific tools to encourage the participants to discussions and designing the research to
answer the initially formulated questions.
After the keynote, a working session was organized to encourage the collaboration between
the participants and discuss open challenges as well as the ideas for future research.
2. Program Committee
We warmly thank all the reviewers of our Program Committee (PC), who helped in the selection
of the papers by providing timely and accurate reviews. The PC members of NLP4RE’22 are:
• Han van der Aa, University of Mannheim, Germany
• Muhammad Abbas, RISE Research Institute, Sweden
• Sallam Abualhaija, University of Luxembourg, Luxembourg
• Chetan Arora, Deakin University, Australia
• Fatma Başak Aydemir, Boğaziçi University, Turkey
• Dan Berry, University of Waterloo, Canada
• Henning Femmer, Fachhochschule Südwestfalen, Germany
• Alessio Ferrari, CNR-ISTI, Italy
• Xavier Franch, Universitat Politècnica de Catalunya, Spain
• Julian Frattini, Blekinge Institute of Technology, Sweden
• Davide Fucci, Blekinge Institute of Technology, Sweden
• Sepideh Ghanavati, University of Maine, USA
• Jin Guo, McGill University, Canada
• Emitzá Guzmán, Vrije Universiteit Amsterdam, The Netherlands
• Eduard Groen, Fraunhofer IESE, Germany
• Frank Houdek, Daimler Ag, Germany
• Clara Lüders, University of Hamburg, Germany
• Luisa Mich, University of Trento, Italy
• Nan Niu, University of Cincinnati, USA
• Barbara Paech, Universität Heidelberg, Germany
• Mehrdad Sabetzadeh, University of Ottawa, Canada
• Damiano Torre, University of Central Texas, USA
• Michael Unterkalmsteiner, Blekinge Institute of Technology, Sweden
• Andreas Vogelsang, University of Cologne, Germany
• Liping Zhao, University of Manchester, UK