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Link to Workshop Website:
https://semotion.github.io/2019
***SEmotion 2019: Fourth International Workshop on Emotion
Awareness in Software Engineering***
OVERVIEW
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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 to
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 third edition held at
ICSE 2018, 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. High-quality contributions about
empirical studies, theoretical models, as well as tools for
supporting emotion awareness in software engineering are invited
to the workshop from both academia and industry.
TOPICS
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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 feedback 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 modeling of affective states (e.g.,
psychological models of affect in 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)
-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
CONTRIBUTIONS
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We invite three kinds of submissions:
-Full papers (6 pages) describing 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 papers (3-4 pages) describing new ideas, works in progress,
datasets/artifacts, or tools/demos.
-Posters (1-2 pages) summarizing research projects, demos,
techniques.
Artifact and demo papers may be either long or short papers
depending on the level of maturity they are at. We especially
encourage evaluation of systems on publicly available benchmark
datasets such as the Jira dataset, Stack Overflow gold standard on
emotions, and sentiment analysis datasets.
Authors may use additional pages (up to 8 total) for references.
All papers must be in English and must conform, at the time of
submission, to the ICSE formatting guidelines for Technical
Research. Papers must be submitted electronically, in PDF format.
The submission site is hosted by EasyChair and can be accessed at
https://easychair.org/conferences/?conf=semotion2019
Three members of 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 at the workshop. All accepted papers will be
distributed to workshop participants and will be invited to be
included in a workshop proceeding published in the ACM and IEEE CS
Digital Libraries.
IMPORTANT DATES
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Paper submissions: 1 February 2019
Notification to authors: 1 March 2019
Camera-ready copies due: 15 March 2019
ORGANIZERS
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Bonita Sharif, University of Nebraska—Lincoln, USA
Davide Fucci, University of Hamburg, Germany
Giuseppe Destefanis, Brunel University London, UK
PROGRAM COMMITTEE
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Lucas Gren, Chalmers University of Technology and The University
of Gothenburg, Sweden Alexander Serebrenik, Eindhoven University
of Technology, The Netherlands
Andrew Begel, Microsoft Research, USA
Fabian Fagerholm, University of Helsinki, Finland
Fabio Calefato, University of Bari, Italy
Prasun Dewan, The University of North Carolina at Chapel Hill, USA
Viviana Patti, University of Torino, Italy
Minhaz Zibran, University of Saskatchewan, Canada
Chris Parnin, North Carolina State University, USA
Kelly Blincoe, The University of Auckland, New Zealand
Raian Ali, Bournemouth University, UK
Walid Maalej, University of Hamburg, Germany
Bram Adams, Polytechnique Montréal, Canada
Paige Rutner, Texas Tech University, USA
Filippo Lanubile, University of Bari, Italy
Marco Ortu, University of Cagliari, Italy
Ayushi Rastogi, Delft University of Technology, The Netherlands
Nicole Novielli, University of Bari, Italy
Mika Mäntylä, University of Oulu, Finland
Maleknaz Nayebi, Ecole Polytechnique de Montreal, Canada
Daniel Graziotin, University of Stuttgart, Germany
David Redmiles, Donald Bren School of Information and Computer
Sciences, USA
Seok-Won Lee, Ajou University, South Korea