Collocated with ICSE 2015
Big Data is about extracting valuable information from data in order to use it in intelligent ways such as to revolutionize decision-making in businesses, science and society.
Big Data analytics is able to handle data volume (large data sets), velocity (data arriving at high frequency), variety (heterogeneous and unstructured data) and veracity (data uncertainty) – the so called four Vs of Big Data. Research on software analytics and mining software repositories has delivered promising results mainly focusing on data volume. However, novel opportunities may arise when leveraging the remaining three Vs of Big Data. Examples include using streaming data (velocity), such as monitoring data from services and things, and combining a broad range of heterogeneous data sources (variety) to take decisions about dynamic software adaptation.
BIGDSE’15 aims to explore such kinds of opportunities that Big Data technology offers to software engineering, both in practice as well as research. In addition, BIGDSE’15 will look at the challenges imposed by building Big Data software systems.
Overall, BIGDSE’15 will feature contributions and discussions that push the link between Big Data and software engineering, as well as critically look into issues such as cost-benefit of big data.
Software engineering as a research discipline has been challenged, since its inception, with collecting and analyzing empirical evidence – be it about people, processes or artifacts – to develop principles, models and theories. In recent years we have seen strong interest and efforts devoted to evidence-based approaches to theory building. We are now at a crossroads where we have available an unprecedented amount of data that is available in real-time and from a multitude of sources. Complementing this trend in data availability is the emergence of novel and improved analytics algorithms and tools (such as deep learning) that allows us to distil actionable insights for software adaptation, evolution and quality. For software engineering, similar to other disciplines in science and economics, the aforementioned developments may lead to radical new ways and unprecedented opportunities of attacking problems.
Big Data software systems (aka. data-intensive software systems), represent an emerging class of software systems that challenges existing software engineering principles, methods and tools due to the sheer size and real-time processing of data.
The impact that the aforementioned kinds of opportunities and challenges will have on software engineering are of relevance to BIGDSE’15.
BIGDSE’15 seeks contributions of different types, including theoretical foundations, practical techniques, empirical studies, experience, and lessons learned.
Potential and relevant research directions that BIGDSE’15 plans to explore include, but are not limited to:
BIGDSE’15 invites authors to submit any of the two kinds of workshop papers:
Workshop papers must follow the ICSE 2015 Format and Submission Guidelines.
Paper submission will be handled through EasyChair: https://easychair.org/conferences/?conf=bigdse15
Accepted papers will be published in the ICSE 2015 electronic conference proceedings and in the digital libraries of ACM and the IEEE Computer Society.
|Paper submission (extended):||Jan. 30, 2015|
|Notification of acceptance:||Feb. 18, 2015|
|Camera-ready copies:||Feb. 27, 2015|
|Workshop:||May 23, 2015|
The photos used on this website are licensed under the "Creative Commons Attribution-Share Alike 3.0 Unported" and "Creative Commons Attribution 2.0 Generic" license. ("Overview of Florence from Campanile di Giotto", "Florence at night seen from the Piazzale Michelangelo")