Data Intensive Software Analytics (DISA) Lab

We study the research and development of intelligent software systems using machine learning that focus on addressing critical problems in technical, social, and organizational contexts. As such, our research work often lies at the intersection of software engineering, data science, human computer interaction, and social science.

Research Interests

  • Software Engineering
  • Machine Learning (e.g., deep learning)
  • Natural Language Processing (e.g., sentiment analysis)
  • Big Data Analytics
  • Human Computer Interaction
Fields of Application
  • Social Media and Crowd-Sourced Knowledge Forums
  • Software Documentation and Dependability
  • Empirical Software Engineering
  • Financial Data Analysis
  • IoT (Internet of Things)