Big Data Software Engineering (BIGDSE), 2015 IEEE/ACM 1st International Workshop on /

Annotation 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 h...

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Weitere Titel:
2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering
Big Data Software Engineering
Körperschaft:
Institute of Electrical and Electronics Engineers
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Piscataway, N.J. : IEEE, 2015.
Zusammenfassung:
Annotation 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.
Umfang:
1 online resource (ix, 52 pages) : color illustrations
ISBN:
1-4673-7025-8
Schlagworte:
Big data > Congresses.
Software engineering > Congresses.
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