Preetha Chatterjee

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software engineering mining software repositories software development machine learning mining emotion mining human factors github open source software research software chats research papers data mining developer chats stack overflow information overload dataset slack empirical study opinion mining question-answering system answer extraction incivility data icse online behavior toxicity llms large language models chatgpt psychology organization team pull requests trust data augmentation sentiment natural language processing #stackoverflow data driven quality

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Preetha Chatterjee

Presentations

Extracting Code Segments and Their Descriptions from Research Articles

Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools

Mining Code Examples with Descriptive Text from Software Artifacts

Extracting Archival-Quality Information from Software-Related Chats

Finding Help with Programming Errors: An Exploratory Study of Novice Software Engineers’ Focus in Stack Overflow Posts

Automatically Identifying the Quality of Developer Chats for Post Hoc Use

Automatic Identification of Informative Code in Stack Overflow Posts

Data Augmentation for Improving Emotion Recognition in Software Engineering Communication

Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests

Exploring ChatGPT for Toxicity Detection in GitHub

Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads

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Software Analytics In Action: A Hands-on Tutorial on Mining, Analyzing, Modelling, and Explaining Software Data

PhD Proposal talk