Automated Detection of Code Smells for Machine Learning Applications

The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. Although machine learning code is usually integrated as a small...

Studying the Machine Learning Lifecycle and Improving Code Quality of Machine Learning Applications

As organizations start to adopt machine learning in critical business scenarios, the development processes change and the reliability of the applications becomes more important. To investigate these changes and improve the reliability of those applications, we conducted two studies in this thesis. The first study aims to understand the evolution...