Corpus ID: 198182681

Semi-supervised learning applied to performance indicators in software engineering processes

@inproceedings{Bodo2015SemisupervisedLA,
  title={Semi-supervised learning applied to performance indicators in software engineering processes},
  author={L. Bodo and Hilda Carvalho de Oliveira and Fabricio A. Breve and D. M. Eler},
  year={2015}
}
Performance indicators are critical resources for quality control in the software development process. Over time, the data volume of the historical basis these indicators increase significantly. Moreover, the diversity of treatment (individual or group) and the frequency of data collection hamper the analysis. The time and reliability of these analyzes are important to support a faster and more effective decision. Thus, this paper proposes the use of artificial neural networks with… Expand

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