Dalpiaz, Fabiano

Dell'Anna, Davide

Kopczyńska, Sylwia

Montgomery, Lloyd

Utrecht University Repository

5th Workshop on Natural Language Processing forRequirements Engineering (NLP4RE)Fabiano Dalpiaz1, Davide Dell’Anna2, Sylwia Kopczyńska3 and Lloyd Montgomery41Utrecht University, The Netherlands2Delft University of Technology, The Netherlands3Poznan University of Technology, Poland4University of Hamburg, Germany1. IntroductionNatural language processing (NLP) plays an important role in several areas of software en-gineering, including requirements engineering (RE). Requirements are often authored andcommunicated textually and with different degrees of formality, from structured (e.g., shallstatements, user stories) to unstructured natural language. Moreover, in the last few years, theadvent of massive and heterogeneous sources, such as tweets and app reviews, has attractedeven more interest from the RE community, as demonstrated by the increasing number ofscientific papers on this topic in conferences like ICSE, RE, and REFSQ.The workshop on Natural Language Processing for Requirements Engineering (NLP4RE) wasestablished in 2018 as a venue to foster communication between researchers and practitionersinterested in the areas of RE and NLP. Through the previous four editions, the NLP4RE workshophas 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 Conferenceon Requirements Engineering: Foundation for Software Quality.The workshop received five submissions. Each submission was independently reviewed byfour program committee members, and, as a result, four of them were accepted. There was nosingle theme set for the workshop, and thus, the presentations of the accepted papers coveredvarious topics related to NLP and RE. One concerned the detection of privacy requirementsfrom user stories, another discussed the detection of ambiguities in requirements. The two otherpapers focused on automated requirements formalization using product design specificationand 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, andPoster & 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).CEURWorkshopProceedingshttp://ceur-ws.orgISSN 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 ArtificialIntelligence (RE4AI)–decided to join the two events into a one-day workshop. Therefore, duringthe workshop the participants had the opportunity to listen to six presentations of researchworks.After the presentations of research papers, the participants of the workshop listened tothe keynote given by Dr. Nicole Novielli on “On Designing SE-specific Sentiment AnalysisTools”. She raised several interesting and thought-provoking questions such as: Do you likeyour code? What kind of code makes developers happiest? What makes them angriest? Isit possible to monitor the mood of a large team of coders to determine when and where acodebase needs additional help? How do emotions act as a proxy for developers’ well-beingand productivity? Next, she provided an overview of recent research about sentiment analysisin software engineering, open challenges, and empirically-based guidelines for safe (re)use ofSE-specific tools to encourage the participants to discussions and designing the research toanswer the initially formulated questions.After the keynote, a working session was organized to encourage the collaboration betweenthe participants and discuss open challenges as well as the ideas for future research.2. Program CommitteeWe warmly thank all the reviewers of our Program Committee (PC), who helped in the selectionof 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

5th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE)

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5th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE)

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