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About

We believe that "human AND AI" is much more powerful than "human OR AI" (some external evidence).

The hil-se lab explores and provides machine learning solutions to assist humans in various software engineering tasks. These tasks include but are not limited to:

  • Retrieving relevant information.
  • Detecting and reducing ethical bias in human decisions.
  • Identifying certain software artifacts, e.g. security vulnerabilities, defects, tech debts, actionable static warnings.
  • Predicting for trace links between different software artifacts.

News

08/25/2021    |     Two new PhD students Monoshiz Mahbub Khan and Xiaoyin Xi have joined the lab as graduate research assistants!

01/22/2021    |     A new Master of Data Science student Nishant Nair has joined the lab as a graduate assistant!

People

Faculty

Phd Students

Master Students

Lab of Human-In-the-Loop Software Engineering's Projects

fairreweighing icon fairreweighing

Generalized Pairwise Fairness for Regression and Classification

fds icon fds

DSCI-633: Foundations of Data Science https://github.com/hil-se/fds

flmt icon flmt

File-Level Mutation Testing

hil-se icon hil-se

Lab of Human-In-the-Loop Software Engineering at RIT

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