Dione: an integrated measurement and defect prediction solution

Bora Caglayan, Ayse Tosun Misirli, Gul Calikli, Ayse Bener, Turgay Aytac, Burak Turhan

Abstract

We present an integrated measurement and defect prediction tool: Dione. Our tool enables organizations to measure, monitor, and control product quality through learning based defect prediction. Similar existing tools either provide data collection and analytics, or work just as a prediction engine. Therefore, companies need to deal with multiple tools with incompatible interfaces in order to deploy a complete measurement and prediction solution. Dione provides a fully integrated solution where data extraction, defect prediction and reporting steps fit seamlessly. In this paper, we present the major functionality and architectural elements of Dione followed by an overview of our demonstration.

BibTeX

@inproceedings{Caglayan-al:FSE12,
  author    = {Bora Caglayan and
               Ayse Tosun Misirli and
               Gul Calikli and
               Ayse Bener and
               Turgay Aytac and
               Burak Turhan},
  title     = {Dione: an integrated measurement and defect prediction solution},
  booktitle = {FSE},
  pages     = {20},
  publisher = {{ACM}},
  year      = {2012},
}

Dione: an integrated measurement and defect prediction solution

Abstract

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