BIGDSE 2015 - 1st International Workshop on BIG Data Software Engineering
Topics/Call fo Papers
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.
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.
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Last modified: 2014-12-07 21:44:16