Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality

Author:

Rivero Luis1,Diniz João1,Silva Giovanni1,Borralho Gabriel1,Braz Junior Geraldo1,Paiva Anselmo1,Alves Erika2,Oliveira Milton2

Affiliation:

1. Federal University of Maranhão, Brazil

2. Equatorial Energia S/A, Brazil

Funder

The authors thank Equatorial Energy for the financial support provided through the National Electric Energy Agency (ANEEL) Research and Development Program (R&D), PD-00037-0031/2019.

Publisher

ACM

Reference34 articles.

1. Customer churn prediction in the telecommunication sector using a rough set approach

2. Eric Breck Shanqing Cai Eric Nielsen Michael Salib and D Sculley. 2016. What’s your ML Test Score? A rubric for ML production systems. (2016). Eric Breck Shanqing Cai Eric Nielsen Michael Salib and D Sculley. 2016. What’s your ML Test Score? A rubric for ML production systems. (2016).

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