About this document
Measuring Software Development Productivity by Lucas Santos is a document available to read on EtoBox.
This document discusses measuring software development productivity using machine learning models trained on version control data. It proposes measuring both the quantity and quality of code produced. Quantity is measured by a neural hidden Markov model that predicts the labor hours required to make a code change. Quality is measured by models that predict the types of problems identified by a static code analysis tool. The models are trained on data from over 10 million commits from hundreds of thousands o
- Author
- Lucas Santos
- Language
- EN