Abstract
Software engineering for big data systems is complex and faces challenges including pervasive distribution, write-heavy workloads, variable request loads, computation-intensive analytics, and high availability. The articles in this theme issue examine several facets of this complicated puzzle. The Web extra at https://youtu.be/YKBGf9EOBUo is an audio recording of Davide Falessi speaking with Ayse Basar Bener and Audris Mockus about the authors, articles, and discussions that went into the IEEE Software March/April 2016 theme issue on software engineering for big data systems.
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CITATION STYLE
Gorton, I., Bener, A. B., & Mockus, A. (2016, March 1). Software engineering for big data systems. IEEE Software. IEEE Computer Society. https://doi.org/10.1109/MS.2016.47
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