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<div class="">LOCATION & CONTACT INFORMATION</div>
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</div>
<div class="">The 1st International Workshop on Machine Learning
and Software Engineering in Symbiosis will be held in
Montpellier, France, September 3, 2018. It will be co-located
with the 33rd IEEE/ACM International Conference on Automated
Software Engineering (ASE).</div>
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</div>
<div class="">Website: <a href="https://mases18.github.io"
class="">https://mases18.github.io</a></div>
<div class="">Contact: <a href="mailto:mases2018@easychair.org"
class="">mases2018@easychair.org</a></div>
<div class="">Twitter: #mases18 </div>
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</div>
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</div>
<div class="">MOTIVATION</div>
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</div>
<div class="">Major breakthroughs in Artificial Intelligence (AI)
have raised strong interests from research and industry towards
Machine Learning (ML), the discipline of AI that aims at
building software that automatically learns from data. As a
result, ML systems increasingly gain popularity and will soon
proliferate in a broad range of domains. However, they also
raise many questions, in particular regarding their reliable
engineering. Conversely, recent advances in Software Engineering
(SE) themselves rely on ML. Several software development
activities can thus now benefit from AI-based assistance and we
expect many more in the coming years.</div>
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</div>
<div class="">This workshop aims at bringing together the SE and
ML communities to reflect on the potential symbioses between
their respective disciplines. As such, it targets innovative ML
applications that improve SE practices, as well as new
engineering methods for ML-based systems.</div>
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</div>
<div class="">TOPICS OF INTEREST</div>
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</div>
<div class="">Topics include, but are not limited to:</div>
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</div>
<div class="">- Machine learning for software engineering</div>
<div class="">- Applications of machine learning to software
analysis, verification and validation,</div>
<div class="">- Naturalness-based code analysis,</div>
<div class="">- Analysis of software repositories,</div>
<div class="">- Human-machine collaboration for engineering
software systems,</div>
<div class="">- Performance prediction of software systems,</div>
<div class="">- Natural language processing for requirements
extraction.</div>
<div class="">- Engineering methods for machine-learning systems</div>
<div class="">- Automated machine learning,</div>
<div class="">- Scalable infrastructure for machine learning,</div>
<div class="">- Validation and verification of learning systems,</div>
<div class="">- Requirements engineering for machine-learning
systems,</div>
<div class="">- Design of safety-critical learning software,</div>
<div class="">- Integration of learning systems in software
ecosystems.</div>
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</div>
<div class="">TYPES OF SUBMISSIONS</div>
<div class="">We invite original papers from 2 to 10 pages in the
conference format (two columns IEEE conference publication
format, title in 24pt font and full text in 10pt font, LaTeX
users must use \documentclass[10pt,conference]{IEEEtran} without
including the compsoc or compsocconf option) describing
positions and visions as well as technical contributions and
experience reports. Reports on existing research projects (e.g.,
H2020) and industrial perspectives are also welcome. Each
contribution will be reviewed by at least three members of the
programme committee.</div>
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</div>
<div class="">IMPORTANT DATES</div>
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</div>
<div class="">Submission of full papers: June 15, 2018</div>
<div class="">Notification of acceptance: July 20, 2018</div>
<div class="">Camera Ready: July 30, 2018</div>
<div class="">Workshop date: September 3, 2018</div>
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</div>
<div class="">SUBMISSION SITE</div>
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</div>
<div class="">Submissions will be handled via EasyChair: <a
href="https://easychair.org/conferences/?conf=mases18"
class="">https://easychair.org/conferences/?conf=mases18</a></div>
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</div>
<div class="">ORGANISATION</div>
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</div>
<div class="">WORKSHOP CHAIRS</div>
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</div>
<div class="">Gilles Perrouin, PReCISE, NADI, University of Namur
(Belgium)</div>
<div class="">Mathieu Acher, University of Rennes 1 / Inria Rennes
(France)</div>
<div class="">Maxime Cordy, PReCISE, NADI, University of Namur /
University of Luxembourg (Luxembourg)</div>
<div class="">Xavier Devroey, SERG, Delft University of Technology
(The Netherlands) </div>
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</div>
<div class="">PROGRAMME COMMITTEE</div>
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</div>
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</div>
<div class="">Earl Barr, University College London (United
Kingdom)</div>
<div class="">Jordi Cabot, Open University of Catalonia (Spain)</div>
<div class="">Jürgen Cito, Massachusetts Institute of Technology
(USA)</div>
<div class="">Jesse Davis, Katholieke Universiteit Leuven
(Belgium)</div>
<div class="">Rémi Emonet, Laboratoire Hubert Curien (France)</div>
<div class="">Robert Feldt, Blekinge Institute of Technology
(Sweden)</div>
<div class="">Benoît Frenay, University of Namur (Belgium)</div>
<div class="">Elisa Fromont, University of Rennes 1 (France)</div>
<div class="">Patrick Heymans, University of Namur (Belgium)</div>
<div class="">Suman Jana, Columbia University (USA)</div>
<div class="">Marta Kwiatkowska University of Oxford (United
Kingdom)</div>
<div class="">Yves Le Traon, University of Luxembourg (Luxembourg)</div>
<div class="">Karl Meinke, KTH Royal Institute of Technology
(Sweden)</div>
<div class="">Tim Menzies, NC State University (USA)</div>
<div class="">Tien Nguyen, The University of Texas at Dallas (USA)</div>
<div class="">Fabio Palomba, University of Zurich (Switzerland)</div>
<div class="">Annibale Panichella, Delft University of Technology
(The Netherlands)</div>
<div class="">Jean-Francois Raskin, Université Libre de Bruxelles
(Belgium)</div>
<div class="">Pierre-Yves Schobbens, University of Namur (Belgium)</div>
<div class="">Koushik Sen University of California, Berkley (USA)</div>
<div class="">Alison M. Smith, Decisive Analytics (USA) </div>
<div class="">Paolo Tonella, Fondazione Bruno Kessler (Italy)</div>
<div class="">Zhenchang Xing, Australian National University
(Australia)</div>
<div class="">...</div>
<div class="">and the workshop organisers. </div>
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</div>
</div>
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</div>
<div class="">
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class="">Gilles PERROUIN</span><br class="">
<font class="" color="#69be28"><font class="" size="1"
face="Verdana, Helvetica, Arial, sans-serif">FNRS Research
Associate</font></font><br class="">
<span style="font-family: Verdana, Helvetica, Arial, sans-serif;
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class="">Computer Science Department - PReCISE</span><br
class="">
<span style="font-family: Verdana, Helvetica, Arial, sans-serif;
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class=""> Namur Digital Institute - NaDI</span></p>
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bold;" class="">T.</span><span class="Apple-converted-space"> </span>+32
(0)81 724 981<br class="">
<a href="mailto:gilles.perrouin@unamur.be" style="color:
rgb(105, 190, 40);" class="">gilles.perrouin@unamur.be</a><br
class="">
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font-size: 8pt;" class="">Université de Namur ASBL</span><br
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<span class="">Rue de Bruxelles 61 - 5000 Namur</span><br
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<span class="">Belgique</span><br class="">
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