Software Engineering for Big Data Systems

@article{Gorton2016SoftwareEF,
  title={Software Engineering for Big Data Systems},
  author={Ian Gorton and Ayse Basar Bener and Audris Mockus},
  journal={IEEE Software},
  year={2016},
  volume={33},
  pages={32-35}
}
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… CONTINUE READING

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Cloud Based Collaborative Software Development: A Review, Gap Analysis and Future Directions

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