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Managing development using active data collection

: Kläs, Michael; Elberzhager, Frank


Felderer, Michael (Ed.):
Product-focused software process improvement. 18th International Conference, PROFES 2017. Proceedings : Innsbruck, Austria, November 29 - December 1, 2017
Cham: Springer International Publishing, 2017 (Lecture Notes in Computer Science 10611)
ISBN: 978-3-319-69925-7 (Print)
ISBN: 978-3-319-69926-4 (Online)
ISBN: 3-319-69925-3
International Conference on Product-Focused Software Process Improvement (PROFES) <18, 2017, Innsbruck>
International Workshop on Managing Quality in Agile and Rapid Software Development Processes (QuASD) <1, 2017, Innsbruck>
Fraunhofer IESE ()
software development; Big Data; experimentation; measurement; Abakus

Problems commonly observed in Big Data and Predictive Analytics projects that try to provide data-driven innovations motivate the need for a general paradigm shift from passive to active data collection. A possible active data collection framework based on Big Data technology is outlined and possible implications for research are identified.