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2020 – today

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2025
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Amirali Sajadi, Binh Le, Anh Nguyen, Kostadin Damevski, Preetha Chatterjee:
Do LLMs consider security? an empirical study on responses to programming questions. Empir. Softw. Eng. 30(3): 101 (2025)
[c19]
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Ramtin Ehsani, Sakshi Pathak, Preetha Chatterjee:
Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution. MSR 2025: 699-711
[c18]
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Ramtin Ehsani, Rezvaneh Rezapour, Preetha Chatterjee:
Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory. NLBSE@ICSE 2025: 1-8
[i20]
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Ramtin Ehsani, Sakshi Pathak, Preetha Chatterjee:
Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution. CoRR abs/2501.11709 (2025)
[i19]
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Amirali Sajadi, Binh Le, Anh Nguyen, Kostadin Damevski, Preetha Chatterjee:
Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions. CoRR abs/2502.14202 (2025)
[i18]
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Mia Mohammad Imran, Robert Zita, Rebekah Copeland, Preetha Chatterjee, Rahat Rizvi Rahman, Kostadin Damevski:
Understanding and Predicting Derailment in Toxic Conversations on GitHub. CoRR abs/2503.02191 (2025)
[i17]
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Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee:
Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review. CoRR abs/2503.05992 (2025)
[i16]
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  - journals/corr/abs-2506-22390
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Ramtin Ehsani, Sakshi Pathak, Esteban Parra, Sonia Haiduc, Preetha Chatterjee:
What Makes ChatGPT Effective for Software Issue Resolution? An Empirical Study of Developer-ChatGPT Conversations in GitHub. CoRR abs/2506.22390 (2025)
[i15]
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Ramtin Ehsani, Esteban Parra, Sonia Haiduc, Preetha Chatterjee:
Bug Fixing with Broader Context: Enhancing LLM-Based Program Repair via Layered Knowledge Injection. CoRR abs/2506.24015 (2025)
[i14]
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  - journals/corr/abs-2507-02976
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Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee:
Are AI-Generated Fixes Secure? Analyzing LLM and Agent Patches on SWE-bench. CoRR abs/2507.02976 (2025)
[i13]
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Yousab Grees, Polina Iaremchuk, Ramtin Ehsani, Esteban Parra, Preetha Chatterjee, Sonia Haiduc:
AI-Powered Commit Explorer (APCE). CoRR abs/2507.16063 (2025)
2024
[c17]
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Shyamal Mishra, Preetha Chatterjee:
Exploring ChatGPT for Toxicity Detection in GitHub. NIER@ICSE 2024: 6-10
[c16]
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Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski:
Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs. ICSE 2024: 182:1-182:13
[c15]
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Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski:
Shedding Light on Software Engineering-specific Metaphors and Idioms. ICSE 2024: 207:1-207:13
[c14]
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Ramtin Ehsani, Mia Mohammad Imran, Robert Zita, Kostadin Damevski, Preetha Chatterjee:
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads. MSR 2024: 515-519
[i12]
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  - journals/corr/abs-2402-04183
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Ramtin Ehsani, Mia Mohammad Imran, Robert Zita, Kostadin Damevski, Preetha Chatterjee:
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads. CoRR abs/2402.04183 (2024)
[i11]
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  - journals/corr/abs-2412-13133
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Ramtin Ehsani, Shadi Rezapour, Preetha Chatterjee:
Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory. CoRR abs/2412.13133 (2024)
2023
[c13]
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Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee:
Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests. ICSE (NIER) 2023: 19-24
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Ramtin Ehsani, Rezvaneh Rezapour, Preetha Chatterjee:
Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues. ESEC/SIGSOFT FSE 2023: 2092-2096
[c11]
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Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee:
Towards Understanding Emotions in Informal Developer Interactions: A Gitter Chat Study. ESEC/SIGSOFT FSE 2023: 2097-2101
[e1]
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Foutse Khomh, Preetha Chatterjee, Andreas Metzger:
Proceedings of the 3rd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, SEA4DQ 2023, San Francisco, CA, USA, 4 December 2023. ACM 2023 [contents]
[i10]
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  - journals/corr/abs-2307-01299
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Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee, Rezvaneh Rezapour:
The Evolution of Substance Use Coverage in the Philadelphia Inquirer. CoRR abs/2307.01299 (2023)
[i9]
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  - journals/corr/abs-2307-15631
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Ramtin Ehsani, Rezvaneh Rezapour, Preetha Chatterjee:
Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues. CoRR abs/2307.15631 (2023)
[i8]
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  - journals/corr/abs-2311-04755
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Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee:
Towards Understanding Emotions in Informal Developer Interactions: A Gitter Chat Study. CoRR abs/2311.04755 (2023)
[i7]
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  - journals/corr/abs-2311-04767
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Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee:
Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests. CoRR abs/2311.04767 (2023)
[i6]
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  - journals/corr/abs-2312-09731
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Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski:
Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs. CoRR abs/2312.09731 (2023)
[i5]
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  - journals/corr/abs-2312-10297
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Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski:
Shedding Light on Software Engineering-specific Metaphors and Idioms. CoRR abs/2312.10297 (2023)
[i4]
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  - journals/corr/abs-2312-13105
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Shyamal Mishra, Preetha Chatterjee:
Exploring ChatGPT for Toxicity Detection in GitHub. CoRR abs/2312.13105 (2023)
2022
[c10]
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  - conf/kbse/ImranJCD22
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Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski:
Data Augmentation for Improving Emotion Recognition in Software Engineering Communication. ASE 2022: 29:1-29:13
[c9]
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Preetha Chatterjee, Tushar Sharma, Paul Ralph:
Empirical Standards for Repository Mining. MSR 2022: 142-143
[c8]
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  - conf/msr/SubashKVCB22
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Keerthana Muthu Subash, Lakshmi Prasanna Kumar, Sri Lakshmi Vadlamani, Preetha Chatterjee, Olga Baysal:
DISCO: A Dataset of Discord Chat Conversations for Software Engineering Research. MSR 2022: 227-231
[c7]
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Preetha Chatterjee:
Automatic Identification of Informative Code in Stack Overflow Posts. NLBSE 2022: 21-24
[i3]
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  - journals/corr/abs-2203-15950
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Preetha Chatterjee, Tushar Sharma, Paul Ralph:
Empirical Standards for Repository Mining. CoRR abs/2203.15950 (2022)
[i2]
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  - journals/corr/abs-2208-05573
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Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski:
Data Augmentation for Improving Emotion Recognition in Software Engineering Communication. CoRR abs/2208.05573 (2022)
2021
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  - journals/tosem/ChatterjeeDKP21
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Preetha Chatterjee, Kostadin Damevski, Nicholas A. Kraft, Lori L. Pollock:
Automatically Identifying the Quality of Developer Chats for Post Hoc Use. ACM Trans. Softw. Eng. Methodol. 30(4): 48:1-48:28 (2021)
[c6]
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Preetha Chatterjee, Kostadin Damevski, Lori L. Pollock:
Automatic Extraction of Opinion-based Q&A from Online Developer Chats. ICSE 2021: 1260-1272
2020
[j1]
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Preetha Chatterjee, Minji Kong, Lori L. Pollock:
Finding help with programming errors: An exploratory study of novice software engineers' focus in stack overflow posts. J. Syst. Softw. 159 (2020)
[c5]
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Preetha Chatterjee:
Extracting archival-quality information from software-related chats. ICSE (Companion Volume) 2020: 234-237
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Preetha Chatterjee, Kostadin Damevski, Nicholas A. Kraft, Lori L. Pollock:
Software-related Slack Chats with Disentangled Conversations. MSR 2020: 588-592

2010 – 2019

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2019
[c3]
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Preetha Chatterjee, Kostadin Damevski, Lori L. Pollock, Vinay Augustine, Nicholas A. Kraft:
Exploratory study of slack Q&A chats as a mining source for software engineering tools. MSR 2019: 490-501
[i1]
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  - journals/corr/abs-1904-00478
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Preetha Chatterjee:
Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language. CoRR abs/1904.00478 (2019)
2017
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Preetha Chatterjee, Benjamin Gause, Hunter Hedinger, Lori L. Pollock:
Extracting code segments and their descriptions from research articles. MSR 2017: 91-101
[c1]
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  - conf/wcre/ChatterjeeNDAPK17
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Preetha Chatterjee, Manziba Akanda Nishi, Kostadin Damevski, Vinay Augustine, Lori L. Pollock, Nicholas A. Kraft:
What information about code snippets is available in different software-related documents? An exploratory study. SANER 2017: 382-386

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