Fatemeh H. Fard

67 papers A* 1A 15B 1C 1Journal 44Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated detection of algorithm debt in deep learning frameworks: an empirical study.
Empir. Softw. Eng.
Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Alex Potanin, Hanna Suominen, Fatemeh H. Fard
2026 J jnl
Context-Augmented Code Generation Using Programming Knowledge Graphs.
CoRR
Shahd Seddik, Fahd Seddik, Iman Saberi, Fatemeh H. Fard, Minh-Hieu Huynh, Patanamon Thongtanunam
2025 J jnl
Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models.
CoRR
Amirreza Esmaeili, Fahd Seddik, Yongyi Ji, Fatemeh H. Fard, Fuxiang Chen
2025 J jnl
ClarifyCoder: Clarification-Aware Fine-Tuning for Programmatic Problem Solving.
CoRR
Jie JW Wu, Manav Chaudhary, Davit Abrahamyan, Arhaan Khaku, Anjiang Wei, Fatemeh H. Fard
2025 J jnl
Correction to: Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering.
Empir. Softw. Eng.
Iman Saberi, Fatemeh H. Fard, Fuxiang Chen
2025 J jnl
Do Current Language Models Support Code Intelligence for R Programming Language?
ACM Trans. Softw. Eng. Methodol.
Zixiao Zhao, Fatemeh H. Fard
2025 J jnl
Do Current Language Models Support Code Intelligence for R Programming Language? RCR Report.
ACM Trans. Softw. Eng. Methodol.
Zixiao Zhao, Fatemeh H. Fard
2025 J jnl
FISCAL: Financial Synthetic Claim-document Augmented Learning for Efficient Fact-Checking.
CoRR
Rishab Sharma, Iman Saberi, Elham Alipour, Jie JW Wu, Fatemeh H. Fard
2025 J jnl
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents.
CoRR
Jie JW Wu, Ayanda Patrick Herlihy, Ahmad Saleem Mirza, Ali Afoud, Fatemeh H. Fard
2025 J jnl
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agents.
ACM Trans. Softw. Eng. Methodol.
Jie JW Wu, Fatemeh H. Fard
2025 J jnl
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training.
CoRR
Zixiao Zhao, Fatemeh H. Fard, Jie JW Wu
2025 A conf
On the Performance of Large Language Models for Code Change Intent Classification.
SANER
Issam Oukhay, Moataz Chouchen, Ali Ouni, Fatemeh H. Fard
2025 A conf
OpenMent: A Dataset of Mentor-Mentee Interactions in Google Summer of Code.
MSR
Erfan Raoofian, Fatemeh H. Fard, Ifeoma Adaji, Gema Rodríguez-Pérez
2025 J jnl
Teaching Mining Software Repositories.
CoRR
Zadia Codabux, Fatemeh H. Fard, Roberto Verdecchia, Fabio Palomba, Dario Di Nucci, Gilberto Recupito
2025 A conf
Unveiling Ruby: Insights from Stack Overflow and Developer Survey.
EASE
Nikta Akbarpour, Ahmad Saleem Mirza, Erfan Raoofian, Fatemeh H. Fard, Gema Rodríguez-Pérez
2024 J jnl
Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent.
CoRR
Jie JW Wu, Fatemeh H. Fard
2024 J jnl
Context-Augmented Code Generation Using Programming Knowledge Graphs.
CoRR
Iman Saberi, Fatemeh H. Fard
2024 J jnl
Do Current Language Models Support Code Intelligence for R Programming Language?
CoRR
Zixiao Zhao, Fatemeh H. Fard
2024 J jnl
Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R.
CoRR
Amirreza Esmaeili, Iman Saberi, Fatemeh H. Fard
2024 J jnl
Evaluating few-shot and contrastive learning methods for code clone detection.
Empir. Softw. Eng.
Mohamad Khajezade, Fatemeh H. Fard, Mohamed S. Shehata
2024 J jnl
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair.
CoRR
Meghdad Dehghan, Jie JW Wu, Fatemeh H. Fard, Ali Ouni
2024 A conf
StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generation.
ICSME
Davit Abrahamyan, Fatemeh H. Fard
2024 J jnl
StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generation.
CoRR
Davit Abrahamyan, Fatemeh H. Fard
2024 A* conf
Studying Versioning in Stack Overflow.
ASE
Yiyun Chen, Fuxiang Chen, Mijung Kim, Fatemeh H. Fard
2024 A conf
Studying Vulnerable Code Entities in R.
ICPC
Zixiao Zhao, Millon Madhur Das, Fatemeh H. Fard
2024 J jnl
Studying Vulnerable Code Entities in R.
CoRR
Zixiao Zhao, Millon Madhur Das, Fatemeh H. Fard
2024 J jnl
Survey on Code Generation for Low resource and Domain Specific Programming Languages.
CoRR
Sathvik Joel, Jie JW Wu, Fatemeh H. Fard
2024 — ch.
Teaching Mining Software Repositories.
Handbook on Teaching Empirical Software Engineering
Zadia Codabux, Fatemeh H. Fard, Roberto Verdecchia, Fabio Palomba, Dario Di Nucci, Gilberto Recupito
2024 — conf
Technical Briefing on Parameter Efficient Fine-Tuning of (Large) Language Models for Code-Intelligence.
ICSE Companion
Fatemeh H. Fard
2024 J jnl
Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering.
Empir. Softw. Eng.
Iman Saberi, Fatemeh H. Fard, Fuxiang Chen
2023 J jnl
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation.
CoRR
Ramin Shahbazi, Fatemeh H. Fard
2023 B conf
Algorithm Debt: Challenges and Future Paths.
CAIN
Emmanuel Iko-Ojo Simon, Melina C. Vidoni, Fatemeh H. Fard
2023 — conf
Evaluating Code Comment Generation With Summarized API Docs.
NLBSE@ICSE
Bilel Matmti, Fatemeh H. Fard
2023 J jnl
Evaluating pre-trained models for user feedback analysis in software engineering: a study on classification of app-reviews.
Empir. Softw. Eng.
Mohammad Abdul Hadi, Fatemeh H. Fard
2023 A conf
Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models.
MSR
Iman Saberi, Fatemeh H. Fard
2023 J jnl
Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models.
CoRR
Iman Saberi, Fatemeh H. Fard
2023 J jnl
Multilingual Adapter-based Knowledge Aggregation on Code Summarization for Low-Resource Languages.
CoRR
Iman Saberi, Fatemeh H. Fard, Fuxiang Chen
2023 J jnl
Utilization of Pre-trained Language Model for Adapter-based Knowledge Transfer in Software Engineering.
CoRR
Iman Saberi, Fatemeh H. Fard, Fuxiang Chen
2022 J jnl
A fine-grained data set and analysis of tangling in bug fixing commits.
Empir. Softw. Eng.
Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2022 A conf
ARSeek: identifying API resource using code and discussion on stack overflow.
ICPC
Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo
2022 J jnl
An Exploratory Study on Code Attention in BERT.
CoRR
Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo
2022 A conf
An exploratory study on code attention in BERT.
ICPC
Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo
2022 J jnl
Infinite technical debt.
J. Syst. Softw.
Melina C. Vidoni, Zadia Codabux, Fatemeh H. Fard
2022 J jnl
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition.
CoRR
Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard
2022 A conf
LAMNER: code comment generation using character language model and named entity recognition.
ICPC
Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard
2022 J jnl
On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules.
CoRR
Divyam Goel, Ramansh Grover, Fatemeh H. Fard
2022 J jnl
On the Effectiveness of Pretrained Models for API Learning.
CoRR
Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo
2022 J jnl
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages.
CoRR
Fuxiang Chen, Fatemeh H. Fard, David Lo, Timofey Bryksin
2022 A conf
On the cross-modal transfer from natural language to code through adapter modules.
ICPC
Divyam Goel, Ramansh Grover, Fatemeh H. Fard
2022 A conf
On the effectiveness of pretrained models for API learning.
ICPC
Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo
2022 A conf
On the transferability of pre-trained language models for low-resource programming languages.
ICPC
Fuxiang Chen, Fatemeh H. Fard, David Lo, Timofey Bryksin
2022 J jnl
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation.
CoRR
Yue Cao, Fatemeh H. Fard
2022 J jnl
Self-admitted technical debt in R: detection and causes.
Autom. Softw. Eng.
Rishab Sharma, Ramin Shahbazi, Fatemeh H. Fard, Zadia Codabux, Melina C. Vidoni
2021 A conf
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations.
ICPC
Ramin Shahbazi, Rishab Sharma, Fatemeh H. Fard
2021 J jnl
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations.
CoRR
Ramin Shahbazi, Rishab Sharma, Fatemeh H. Fard
2021 J jnl
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews.
CoRR
Mohammad Abdul Hadi, Fatemeh H. Fard
2021 J jnl
FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis.
CoRR
Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo
2021 — conf
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation.
ASE Workshops
Yue Cao, Fatemeh H. Fard
2021 C conf
Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms.
ICMLA
Rishab Sharma, Fatemeh H. Fard, Apurva Narayan
2021 A conf
Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study.
MSR
Zadia Codabux, Melina C. Vidoni, Fatemeh H. Fard
2021 J jnl
Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study.
CoRR
Zadia Codabux, Melina C. Vidoni, Fatemeh H. Fard
2020 A conf
AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis.
ICSME
Mohammad Abdul Hadi, Fatemeh H. Fard
2020 J jnl
AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis.
CoRR
Mohammad Abdul Hadi, Fatemeh H. Fard
2020 J jnl
Geo-Spatial Data Visualization and Critical Metrics Predictions for Canadian Elections.
CoRR
Mohammad Abdul Hadi, Fatemeh H. Fard, Irene Vrbik
2020 J jnl
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.
CoRR
Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2020 J jnl
ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile Applications.
CoRR
Mohammad Abdul Hadi, Fatemeh H. Fard
2019 — conf
Where Does LDA Sit for GitHub?
ASE Workshops
Xukun Wang, Matthias Lee, Angie Pinchbeck, Fatemeh H. Fard