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ICSE 2020
Wed 24 June - Thu 16 July 2020
Fri 10 Jul 2020 16:25 - 16:33 at Goguryeo - A23-Requirements Chair(s): Dalal Alrajeh

A software system’s design determines many of its properties, such as maintainability and performance. To uphold desired properties in a system, developers must be aware of its design. When developers are not aware of a system’s design, choices they make can erode desired system properties [1]. Unfortunately, developers often do not have access to in- formation about a system’s current design. One approach that has been investigated to solve this issue is to recover design automatically from projects artifacts [2]. Most of the existing approaches focus on how a system works by extracting struc- tural (e.g., [3]) and behaviour (e.g., [4]) information, rather than information about the desired design properties, such as robustness or performance. Recently, Brunet et al. and Tsay et al. have identified that developer discussions, captured in project artifacts, such as issue reports, include discussions of design [5], [6]. Tsay et al. have further showed that these discussions can be a major factor in deciding how a system evolves, suggesting that the discussions include information that goes beyond how a system works to explain why certain choices were made. In this paper, we explore whether it is possible to locate automatically where design is discussed in on-line developer discussions. We introduce a classifier that can locate para- graphs in pull request discussions that pertain to design with an average AUC score of 0.87. We show that this classifier, when applied to projects on which it was not trained, agrees with the identification of design points by humans with an average AUC score of 0.79. We finally describe how this classifier could be used as the basis of tools to improve such tasks as reviewing code and implementing new features. This paper shows that there is useful design information latent in on-line developer discussion and provides a means to locate this information at a coarse granularity. Future research can determine how to locate more specific and nuanced design information and investigate how to semantically model the information to produce even more useful tools for developers.

Fri 10 Jul

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16:05 - 17:05
A23-RequirementsJournal First / Technical Papers / New Ideas and Emerging Results at Goguryeo
Chair(s): Dalal Alrajeh Imperial College London
Caspar: Extracting and Synthesizing User Stories of Problems from App ReviewsTechnical
Technical Papers
Hui Guo North Carolina State University, Munindar P. Singh North Carolina State University
Dealing with Non-Functional Requirements in Model-Driven Development: A SurveyJ1
Journal First
David Ameller Universitat Politècnica de Catalunya, Xavier Franch Universitat Politècnica de Catalunya, Cristina Gómez Universitat Politècnica de Catalunya, Silverio Martínez-Fernández UPC-BarcelonaTech, João Araújo Universidade Nova de Lisboa, Stefan Biffl Vienna University of Technology, Jordi Cabot ICREA - UOC, Vittorio Cortellesa University of L’Aquila, Daniel Mendez Technische Universität München, Ana Moreira FCT / Universidade Nova de Lisboa, Henry Muccini University of L'Aquila, Italy, Antonio Vallecillo University of Málaga, Spain, Manuel Wimmer Johannes Kepler University Linz, Vasco Amaral Universidade Nova de Lisboa, Wolfang Böhm Technische Universität München, Hugo Brunelière Inria, Mines Nantes & LINA, Lola Burgueño Universidad de Malaga, Miguel Goulao NOVA-LINCS, FCT/UNL, Sabine Teufl Fortiss GmbH, Luca Berardinelli Johannes Kepler University Linz
Locating Latent Design Information in Developer Discussions: A Study on Pull RequestsJ1
Journal First
Giovanni Viviani University of British Columbia, Michalis Famelis Université de Montréal, Xin Xia Monash University, Calahan Janik-Jones University of Toronto, Gail Murphy University of British Columbia
Status Quo in Requirements Engineering: A Theory and a Global Family of SurveysJ1
Journal First
Stefan Wagner University of Stuttgart
Link to publication DOI Pre-print
Corba: Crowdsourcing to Obtain Requirements from Regulations and BreachesJ1
Journal First
Hui Guo North Carolina State University, Ozgur Kafali University of Kent, Anne-Liz Jeukeng University of Florida, Laurie Williams North Carolina State University, Munindar P. Singh North Carolina State University
With Registered Reports Towards Large Scale Data CurationNIER
New Ideas and Emerging Results
Steffen Herbold University of Göttingen