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International Conference on Product-Focused Software Process Improvement

PROFES 2017: Product-Focused Software Process Improvement pp 543–547Cite as

Managing Development Using Active Data Collection

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10611))

Abstract

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.

This work is being partially funded by the German Federal Ministry for Economic Affairs and Energy in the context of the technology program “Smart Data - Innovations in Data”, grant no. 01MD15004E and by the Ministry of Education Research in the context of the Abakus project, grand no. 01IS1550.

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Author information

Authors and Affiliations

  1. Fraunhofer IESE, Kaiserslautern, Germany

    Michael Kläs & Frank Elberzhager

Authors
  1. Michael Kläs
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  2. Frank Elberzhager
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Corresponding author

Correspondence to Michael Kläs .

Editor information

Editors and Affiliations

  1. University of Innsbruck, Innsbruck, Austria

    Michael Felderer

  2. Technical University Munich, Garching, Germany

    Daniel Méndez Fernández

  3. Brunel University London, Uxbridge, United Kingdom

    Burak Turhan

  4. Pontifical Catholic University of Rio de, Rio de Janeiro, Brazil

    Marcos Kalinowski

  5. University College London, London, United Kingdom

    Federica Sarro

  6. Vienna University of Technology, Vienna, Austria

    Dietmar Winkler

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© 2017 Springer International Publishing AG

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Kläs, M., Elberzhager, F. (2017). Managing Development Using Active Data Collection. In: Felderer, M., Méndez Fernández, D., Turhan, B., Kalinowski, M., Sarro, F., Winkler, D. (eds) Product-Focused Software Process Improvement. PROFES 2017. Lecture Notes in Computer Science(), vol 10611. Springer, Cham. https://doi.org/10.1007/978-3-319-69926-4_44

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  • DOI: https://doi.org/10.1007/978-3-319-69926-4_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69925-7

  • Online ISBN: 978-3-319-69926-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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