August 26-28, 2020
Motivation: In recent years, software engineering has benefitted from collecting, processing, and visualiz-ing large volumes of data that have been produced along the software development process, the use of software applications per se, and from the people that are involved in the develop-ment and operation of software.
By using data stemming from systems that support software development and maintenance (such as JIRA, GitHub, the Maven Repository etc.) one can track the progress of software development, as well as the quality of software processes and products. Lessons learnt from exploiting the aforementioned datasources through qualitative or quantitative studies are con-sidered extremely useful for product and process improvement. So far, advances in software engineering provide us with progressively improved software development and the ability to continuously deploy software products. However, these new software products, systems, or services create new challenges to their specification, development, quality assurance, and se-curity, where innovative solutions are required. To be able to take the next step in further ad-vancing modern software development, we need to apply research methods and tools for mining, analyzing, representing, and properly using large quantities of software data.
The mission of this session is to provide a forum, in which practitioners and researchers can exchange experiences and ideas around software analytics, mining software repositories, software data visualization, and big data systems in software engineering. The special session, will consider papers related (but not limited) to the following topics:
Topics of interest include, but are not restricted to:
The conference proceedings in the last years have been published by the IEEE Computer Society. The format is the IEEE two-column proceedings format (8 pages for full papers and 4 pages for short papers).
Submission Guidelines: SEAA 2020 encourages the submission of full research papers (maximum 8 pages), short papers and tool demo papers (maximum 4 pages), and posters. Papers follow a single-blinded reviewing process and must contain original unpublished work, describe significant novel contributions, and provide evidence on the validation of results. In particular, reports on industrial applications are welcome.
Submissions URL: https://easychair.org/conferences/?conf=seaa2020 (choose Software Analytics: Mining Software Open Datasets and Repositories track when submitting)
Conference Publishing Services (CPS) will publish accepted papers in the conference proceedings and the proceedings will be submitted to the IEEE Xplore Digital library and indexing services.
Please note that it is planned to select best papers among all tracks of SEAA and present them with an award. A selection of best papers will be invited to submit extended versions for tentative publication in a requested Special Issue of a Journal (under negotiation).
Special Session Organizers:
Maria Kechagia, firstname.lastname@example.org, University College London, United Kingdom
Apostolos Ampatzoglou, email@example.com, University of Macedonia, Greece
Francesca Arcelli-Fontana,University of Milano-Biccoca, Italy
Elvira-Maria Arvanitou, University of Macedonia, Greece
Önder Babur, Eindhoven University of Technology, The Netherlands
Rami Bahsoon, University of Birmingham, United Kingdom
Stamatia Bibi, University of Western Macedonia, Greece
Alexander Chatzigeorgiou, University of Macedonia, Greece
Eleni Constantinou, Eindhoven University of Technology, The Netherlands
Xavier Devroey, Delft University of Technology, The Netherlands
Vasiliki Efstathiou, Athens University of Economics and Business, Greece
Daniel Feitosa, University of Groningen, The Netherlands
Marios Fragkoulis, Delft University of Technology, The Netherlands
Matthias Galster, University of Canterbury, New Zealand
Clemente Izurieta, Montana State University, USA
Valentina Lenarduzzi, Tampere University of Technology, Finland
Zengyang Li, Central China Normal University, China
Peng Liang, Wuhan University, China
Lech Madeyski, Wroclaw University of Science and Technology, Poland
Jabier Martinez, Technalia, Spain
Dimitris Mitropoulos, Athens University of Economics and Business, Greece
Elisa Yumi Nakagawa, University of Sao Paolo, Brazil
Alfonso Pierantonio, University of L’Aquila, Italy
Davide di Ruscio, University of L’Aquila, Italy
Tushar Sharma, Athens University of Economics and Business, Greece
Davide Taibi, Tampere University of Technology, Finland