Call for Papers
Special Session @ 45th EUROMICRO SEAA Conference in Thessaloniki / Chalkidiki, Greece
Software and Big Data Analytics (SBDA)
August 28-30, 2019
In recent years, software engineering has taken advantage of the ability to collect, process and visualize large quantities of data originating from software development tools and the application of the software products, systems or services themselves. To be able to take the next step in excelling in software development, we need to be more efficient in utilizing the latest research in data mining, data analytics (such as deep learning), and visualization of large quantities of data. This relates to big data analytics, which is about extracting valuable information from data to use it in intelligent ways such as to revolutionize decision-making in business, engineering, science and society. Big data analytics copes with a vast amount of information from heterogeneous sources, with various characteristics, levels of trust, and provenance. The aim of big data analytics is to cost-effectively turn high-volume, high-velocity and high-variety data into new knowledge and real-time situation awareness. This special session will look at big data analytics from two perspectives. How big data analytics may be used for software engineering (a.k.a. “software analytics”), and how to engineer data-intensive software systems that exploit big data analytics.
Increasingly, software systems and applications emerge that exploit big data for intelligent processing and reasoning. These applications use advanced machine learning techniques that detect patterns in big data and reason on them with events, context and greater situation awareness, facilitating operational decision-support and self-adaptation. These emerging data-intensive software systems are creating a new class of software systems altogether and require special software engineering approaches. These new systems are shifting existing and established software engineering principles, methods and tools towards new opportunities but also challenges in software development and operation. For example, traditional software testing and verification may reach its limits due to the size of data and the changes of data in real-time.
This special session aims to explore the impact of software and big data analytics on software engineering and vice versa, serving as a forum for the exchange of ideas, solutions and experiences among researchers and practitioners from the communities of software visualization, mining software repositories, software analytics and big data systems in software engineering.
Topics of interest include, but are not restricted to:
Michael Felderer University of Innsbruck, Austria
Andreas Metzger University of Duisburg-Essen, Germany
Sebastian Baltes, University of Trier
Olga Baysal, Carleton University
Ayse Bener, Ryerson University
Alexandre Bergel, University of Chile
Markus Borg, RISE SICS AB
Steffen Frey, University of Stuttgart
Davide Fucci, HITeC, University of Hamburg
Regina Hebig, Chalmers | Gothenburg University
Stephen MacDonell, University of Otago
Nazim Madhavji, University of Western Ontario
Zoltan Mann, University of Duisburg-Essen
Leonel Merino, University of Stuttgart
Maleknaz Nayebi, Ecole Polytechnique de Montreal
Ezequiel Scott, University of Tartu