Extracting code segments and their descriptions from research articles. - Preetha Chatterjee; Benjamin Gause; Hunter Hedinger; Lori L. Pollock (MSR, 2017)

What information about code snippets is available in different software-related documents? An exploratory study. - Preetha Chatterjee; Manziba Akanda Nishi; Kostadin Damevski; Vinay Augustine; Lori L. Pollock; Nicholas A. Kraft (SANER, 2017)

Exploratory study of slack Q&A chats as a mining source for software engineering tools. - Preetha Chatterjee; Kostadin Damevski; Lori L. Pollock; Vinay Augustine; Nicholas A. Kraft (MSR, 2019)

Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language. - Preetha Chatterjee (CoRR, 2019)

Extracting archival-quality information from software-related chats. - Preetha Chatterjee (ICSE (Companion Volume), 2020)

Software-related Slack Chats with Disentangled Conversations. - Preetha Chatterjee; Kostadin Damevski; Nicholas A. Kraft; Lori L. Pollock (MSR, 2020)

Finding help with programming errors: An exploratory study of novice software engineers' focus in stack overflow posts. - Preetha Chatterjee; Minji Kong; Lori L. Pollock (J. Syst. Softw., 2020)

Automatic Extraction of Opinion-based Q&A from Online Developer Chats. - Preetha Chatterjee; Kostadin Damevski; Lori L. Pollock (ICSE, 2021)

Automatically Identifying the Quality of Developer Chats for Post Hoc Use. - Preetha Chatterjee; Kostadin Damevski; Nicholas A. Kraft; Lori L. Pollock (ACM Trans. Softw. Eng. Methodol., 2021)

Data Augmentation for Improving Emotion Recognition in Software Engineering Communication. - Mia Mohammad Imran; Yashasvi Jain; Preetha Chatterjee; Kostadin Damevski (ASE, 2022)

Empirical Standards for Repository Mining. - Preetha Chatterjee; Tushar Sharma 001; Paul Ralph (MSR, 2022)

DISCO: A Dataset of Discord Chat Conversations for Software Engineering Research. - Keerthana Muthu Subash; Lakshmi Prasanna Kumar; Sri Lakshmi Vadlamani; Preetha Chatterjee; Olga Baysal (MSR, 2022)

Automatic Identification of Informative Code in Stack Overflow Posts. - Preetha Chatterjee (NLBSE, 2022)

Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests. - Amirali Sajadi; Kostadin Damevski; Preetha Chatterjee (ICSE (NIER), 2023)

Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues. - Ramtin Ehsani; Rezvaneh Rezapour; Preetha Chatterjee (ESEC/SIGSOFT FSE, 2023)

Towards Understanding Emotions in Informal Developer Interactions: A Gitter Chat Study. - Amirali Sajadi; Kostadin Damevski; Preetha Chatterjee (ESEC/SIGSOFT FSE, 2023)

The Evolution of Substance Use Coverage in the Philadelphia Inquirer. - Layla Bouzoubaa; Ramtin Ehsani; Preetha Chatterjee; Rezvaneh Rezapour (CoRR, 2023)

Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs. - Mia Mohammad Imran; Preetha Chatterjee; Kostadin Damevski (ICSE, 2024)

Shedding Light on Software Engineering-specific Metaphors and Idioms. - Mia Mohammad Imran; Preetha Chatterjee; Kostadin Damevski (ICSE, 2024)

Exploring ChatGPT for Toxicity Detection in GitHub. - Shyamal Mishra; Preetha Chatterjee (NIER@ICSE, 2024)

Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads. - Ramtin Ehsani; Mia Mohammad Imran; Robert Zita; Kostadin Damevski; Preetha Chatterjee (MSR, 2024)

Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory. - Ramtin Ehsani; Shadi Rezapour; Preetha Chatterjee (CoRR, 2024)

Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution. - Ramtin Ehsani; Sakshi Pathak; Preetha Chatterjee (MSR, 2025)

Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory. - Ramtin Ehsani; Rezvaneh Rezapour; Preetha Chatterjee (NLBSE@ICSE, 2025)

Understanding and Predicting Derailment in Toxic Conversations on GitHub. - Mia Mohammad Imran; Robert Zita; Rebekah Copeland; Preetha Chatterjee; Rahat Rizvi Rahman; Kostadin Damevski (CoRR, 2025)

Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review. - Amirali Sajadi; Kostadin Damevski; Preetha Chatterjee (CoRR, 2025)

What Makes ChatGPT Effective for Software Issue Resolution? An Empirical Study of Developer-ChatGPT Conversations in GitHub. - Ramtin Ehsani; Sakshi Pathak; Esteban Parra; Sonia Haiduc; Preetha Chatterjee (CoRR, 2025)

Bug Fixing with Broader Context: Enhancing LLM-Based Program Repair via Layered Knowledge Injection. - Ramtin Ehsani; Esteban Parra; Sonia Haiduc; Preetha Chatterjee (CoRR, 2025)

Do LLMs consider security? an empirical study on responses to programming questions. - Amirali Sajadi; Binh Le; Anh Nguyen; Kostadin Damevski; Preetha Chatterjee (Empir. Softw. Eng., 2025)

Are AI-Generated Fixes Secure? Analyzing LLM and Agent Patches on SWE-bench. - Amirali Sajadi; Kostadin Damevski; Preetha Chatterjee (CoRR, 2025)

AI-Powered Commit Explorer (APCE). - Yousab Grees; Polina Iaremchuk; Ramtin Ehsani; Esteban Parra; Preetha Chatterjee; Sonia Haiduc (CoRR, 2025)