Motivation

Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects, i.e. the experience of feelings or emotions. Over the past decade, research has shown the impact of affective states on work performance and on team collaboration. This also applies for software engineering that involves people in a broad range of activities, where personality, moods, and emotions play a crucial role. For successful software engineering projects, stakeholders need to experience positive affect (such as trust or appreciation), to agree on display rules for emotions, and to hold mutual commitment to the project goals. Recently, researchers started to study the role of affective computing and affective states in software engineering. However, contributions on this topic are currently presented and discussed in diverse conferences and workshops. This workshop follows on the second edition held at ICSE 2017, towards the consolidation of an international, sustainable forum for researchers and practitioners interested in the role of affect in software engineering to meet, present, and discuss their work-in-progress. Highquality contributions about empirical studies, theoretical models, as well as tools for supporting emotion awareness in software engineering are invited to the workshop, both from academia and industry.

Topics

This workshop aims at identifying and addressing challenges posed by emotion awareness in software engineering. Topics of interest include, but are not limited to:

  • Impact of affective states (emotions, moods, attitudes, personality traits) on individual and group performance, commitment and collaboration in software engineering
  • The role of affect in the social programmer ecosystem
  • Leveraging stakeholders’ affective feeemotidback to improve software, tools, and processes (e.g., sentiment analysis of users’ feedback, aspect-based sentiment analysis of product reviews, etc.)
  • Design, development, and evaluation of tools and datasets for supporting emotion awareness in software engineering
  • Reusable software frameworks, APIs, and patterns for designing and maintaining affect-aware systems
  • Ethnographic approaches to affect monitoring in the workplace of software projects
  • Psychology of programming and modelling of affective states (e.g., defining/adapting psychological models of affect to software engineering, understanding the trigger behind emotions during developers’ activities, etc.)
  • Affective state detection from multimodal analysis of spontaneous communicative behavior such as natural language processing, use of biometric measurements, analysis of body posture and gesture, speech analysis
  • Affect sensing from communication artifacts (e.g., message boards, issue tracking, social media): techniques and tools for extracting and summarizing emotions in communication • Methodologies for large-scale emotion mining
  • Emotion awareness in requirements engineering, software design, and software management
  • Emotion awareness in software design philosophies, development practices, and tools
  • Emotion awareness in cross-cultural teams in global software development
  • Methodologies and standards
  • Replications of prior studies

Types of Contributions

We invite three kinds of submissions:

  • Full papers (6 pages) describe emotion awareness challenges, needs, novel approaches, and frameworks. New approaches must be evaluated with users in this category. Empirical evaluation papers and industrial experience reports are also welcome;
  • Short position papers (3-4 pages) describe a new idea or work in progress;
  • Posters, data showcase and demo papers (1-2 pages) summarize a research project, tool, technique or datasets.

Authors may use additional pages (up to 8 total) for references. All papers must be in English and must conform, at time of submission, to the ICSE formatting guidelines for Technical Research. Papers must be submitted electronically, in PDF format. Submissions should be made at the following website: <link to Easychair here>

Three members from the international program committee will review each submission. Papers will be evaluated based on their originality, relevance to the workshop, and their potential for discussion. The papers with the best reviews will be accepted to be presented in the workshop.

All accepted papers will be distributed to workshop participants and will be invited to be included in a workshop proceedings published in the ACM and IEEE CS Digital Libraries.

Important Dates

Paper submissions due: Mon 5 Feb 2018
Notification to authors: Mon 5 Mar 2018
Camera-ready copies due: Mon 19 Mar 2018
Workshop: TBA

Organizers

Program Committee

  • Bram Adams, Polytechnique Montréal, Canada
  • Raian Ali, Bournemouth University, UK
  • Kelly Blincoe, Auckland University of Technology, New Zealand
  • Fabio Calefato, University of Bari, Italy
  • Daniela Damian, University of Victoria, Canada
  • Giuseppe Destefanis, University Of Hertfordshire, UK
  • Prasun Dewan, University of North Carolina, Chapel Hill, USA
  • Fabian Fagerholm, University of Helsinki, Finland
  • Robert Feldt, Chalmers University of Technology, Sweden
  • Emitzá Guzmán Ortega, University of Zurich, Switzerland
  • Hideaki Hata, Nara Institute of Science and Technology, Japan
  • Filippo Lanubile, University of Bari, Italy
  • Pascale Le Blanc, Eindhoven University of Tehnology, The Netherlands
  • Seok-Won Lee, Ajou University, Republic of Korea
  • Per Lenber, SAAB and Chalmers University of Technology, Sweden
  • Walid Maalej, University of Hamburg, Germany
  • Mika Mäntylä, University of Oulu, Finland
  • Nicole Novielli, University of Bari, Italy
  • Marco Ortu, University of Cagliari, Italy
  • Chris Parnin, North Carolina State University, USA
  • Viviana Patti, University of Torino, Italy
  • Paige Rutner, Texas Tech University, USA
  • Bonita Sharif, Youngstown State University, USA
  • Janet Siegmund, University of Passau, Germany
  • Michał Wróbel, Gdansk University of Technology, Poland
  • Minhaz F. Zibran, University of New Orleans, USA