Fatemeh Hendijani Fard

According to our database, Fatemeh Hendijani Fard authored at least 68 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Correction to: Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering.

Iman Saberi, Fatemeh H. Fard, Fuxiang Chen

Empir. Softw. Eng., October, 2025

HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agents.

Jie JW Wu, Fatemeh H. Fard

ACM Trans. Softw. Eng. Methodol., September, 2025

ClarifyCoder: Clarification-Aware Fine-Tuning for Programmatic Problem Solving.

Jie JW Wu, Manav Chaudhary, Davit Abrahamyan, Arhaan Khaku, Anjiang Wei, Fatemeh H. Fard

CoRR, April, 2025

Unveiling Ruby: Insights from Stack Overflow and Developer Survey.

Nikta Akbarpour, Ahmad Saleem Mirza, Erfan Raoofian, Fatemeh Hendijani Fard, Gema Rodríguez-Pérez

CoRR, March, 2025

Teaching Mining Software Repositories.

Zadia Codabux, Fatemeh H. Fard, Roberto Verdecchia, Fabio Palomba, Dario Di Nucci, Gilberto Recupito

CoRR, January, 2025

The Software Industry-Academia Collaboration: Novelty and Practice.

Zadia Codabux, Fatemeh Hendijani Fard

IEEE Softw., 2025

AdvFusion: Adapter-based Knowledge Transfer for Code Summarization on Code Language Models.

Iman Saberi, Amirreza Esmaeili, Fatemeh Hendijani Fard, Fuxiang Chen

Proceedings of the IEEE International Conference on Software Analysis, 2025

On the Performance of Large Language Models for Code Change Intent Classification.

Issam Oukhay, Moataz Chouchen, Ali Ouni, Fatemeh H. Fard

Proceedings of the IEEE International Conference on Software Analysis, 2025

OpenMent: A Dataset of Mentor-Mentee Interactions in Google Summer of Code.

Erfan Raoofian, Fatemeh H. Fard, Ifeoma Adaji, Gema Rodríguez-Pérez

Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

2024

Evaluating few-shot and contrastive learning methods for code clone detection.

Mohamad Khajezade, Fatemeh H. Fard, Mohamed S. Shehata

Empir. Softw. Eng., November, 2024

Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering.

Iman Saberi, Fatemeh H. Fard, Fuxiang Chen

Empir. Softw. Eng., July, 2024

Context-Augmented Code Generation Using Programming Knowledge Graphs.

Iman Saberi, Fatemeh H. Fard

CoRR, 2024

Do Current Language Models Support Code Intelligence for R Programming Language?

Zixiao Zhao, Fatemeh H. Fard

CoRR, 2024

Survey on Code Generation for Low resource and Domain Specific Programming Languages.

Sathvik Joel, Jie JW Wu, Fatemeh H. Fard

CoRR, 2024

Automated Detection of Algorithm Debt in Deep Learning Frameworks: An Empirical Study.

Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Alex Potanin, Hanna Suominen, Fatemeh Hendijani Fard

CoRR, 2024

MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair.

Meghdad Dehghan, Jie JW Wu, Fatemeh H. Fard, Ali Ouni

CoRR, 2024

Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent.

Jie JW Wu, Fatemeh H. Fard

CoRR, 2024

Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R.

Amirreza Esmaeili, Iman Saberi, Fatemeh H. Fard

CoRR, 2024

Studying Versioning in Stack Overflow.

Yiyun Chen, Fuxiang Chen, Mijung Kim, Fatemeh H. Fard

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Studying Vulnerable Code Entities in R.

Zixiao Zhao, Millon Madhur Das, Fatemeh H. Fard

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Investigating the Efficacy of Large Language Models for Code Clone Detection.

Mohamad Khajezade, Jie JW Wu, Fatemeh Hendijani Fard, Gema Rodríguez-Pérez, Mohamed Sami Shehata

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generation.

Davit Abrahamyan, Fatemeh H. Fard

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Technical Briefing on Parameter Efficient Fine-Tuning of (Large) Language Models for Code-Intelligence.

Fatemeh H. Fard

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Teaching Mining Software Repositories.

Zadia Codabux, Fatemeh H. Fard, Roberto Verdecchia, Fabio Palomba, Dario Di Nucci, Gilberto Recupito

Proceedings of the Handbook on Teaching Empirical Software Engineering, 2024

2023

Evaluating pre-trained models for user feedback analysis in software engineering: a study on classification of app-reviews.

Mohammad Abdul Hadi, Fatemeh H. Fard

Empir. Softw. Eng., 2023

Utilization of Pre-trained Language Model for Adapter-based Knowledge Transfer in Software Engineering.

Iman Saberi, Fatemeh H. Fard, Fuxiang Chen

CoRR, 2023

Multilingual Adapter-based Knowledge Aggregation on Code Summarization for Low-Resource Languages.

Iman Saberi, Fatemeh H. Fard, Fuxiang Chen

CoRR, 2023

Evaluating Code Comment Generation With Summarized API Docs.

Bilel Matmti, Fatemeh H. Fard

Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models.

Iman Saberi, Fatemeh H. Fard

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation.

Ramin Shahbazi, Fatemeh Hendijani Fard

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Algorithm Debt: Challenges and Future Paths.

Emmanuel Iko-Ojo Simon, Melina C. Vidoni, Fatemeh H. Fard

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

Infinite technical debt.

Melina C. Vidoni, Zadia Codabux, Fatemeh H. Fard

J. Syst. Softw., 2022

A fine-grained data set and analysis of tangling in bug fixing commits.

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 Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

Empir. Softw. Eng., 2022

Self-admitted technical debt in R: detection and causes.

Rishab Sharma, Ramin Shahbazi, Fatemeh H. Fard, Zadia Codabux, Melina C. Vidoni

Autom. Softw. Eng., 2022

LAMNER: code comment generation using character language model and named entity recognition.

Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

An exploratory study on code attention in BERT.

Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

ARSeek: identifying API resource using code and discussion on stack overflow.

Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

On the effectiveness of pretrained models for API learning.

Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

On the cross-modal transfer from natural language to code through adapter modules.

Divyam Goel, Ramansh Grover, Fatemeh H. Fard

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

On the transferability of pre-trained language models for low-resource programming languages.

Fuxiang Chen, Fatemeh H. Fard, David Lo, Timofey Bryksin

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2021

FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis.

Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo

CoRR, 2021

Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study.

Zadia Codabux, Melina C. Vidoni, Fatemeh H. Fard

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation.

Yue Cao, Fatemeh H. Fard

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations.

Ramin Shahbazi, Rishab Sharma, Fatemeh H. Fard

Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms.

Rishab Sharma, Fatemeh H. Fard, Apurva Narayan

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study.

Mohamad Khajezade, Milad Ramezankhani, Fatemeh Hendijani Fard, Mohamed S. Shehata, Abbas S. Milani

Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

2020

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.

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 Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

CoRR, 2020

A Semantic-Based Framework for Analyzing App Users' Feedback.

Aman Yadav, Rishab Sharma, Fatemeh Hendijani Fard

Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis.

Mohammad Abdul Hadi, Fatemeh H. Fard

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Semantic analysis of issues on Google play and Twitter.

Aman Yadav, Fatemeh Hendijani Fard

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

ReviewViz: assisting developers perform empirical study on energy consumption related reviews for mobile applications.

Mohammad Abdul Hadi, Fatemeh Hendijani Fard

Proceedings of the MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, 2020

Geo-Spatial Data Visualization and Critical Metrics Predictions for Canadian Elections.

Mohammad Abdul Hadi, Fatemeh Hendijani Fard, Irene Vrbik

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019

Where Does LDA Sit for GitHub?

Xukun Wang, Matthias Lee, Angie Pinchbeck, Fatemeh H. Fard

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2019

2018

A Hybrid System for Detection of Implied Scenarios in Distributed Software Systems (S).

Anja Slama, Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

2017

Agile Emergency Responses Using Collaborative Planning HTN.

Fatemeh Hendijani Fard, Cooper Davies, Frank Maurer

Proceedings of the 14th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2017

2016

Detecting and Fixing Emergent Behaviors in Distributed Software Systems Using a Message Content Independent Method.

Fatemeh Hendijani Fard

PhD thesis, 2016

Gesture-driven Interactions on a Virtual Hologram in Mixed Reality.

Dianna Yim, Garance Nicole Loison, Fatemeh Hendijani Fard, Edwin Chan, Alec McAllister, Frank Maurer

Proceedings of the 2016 ACM Companion on Interactive Surfaces and Spaces, 2016

A Toolkit for Building Collaborative Immersive Multi-Surface Applications.

Cooper Davies, Jade White, Alec McAllister, Adam Saroka, Omar Addam, Fatemeh Hendijani Fard, Frank Maurer

Proceedings of the 2016 ACM on Interactive Surfaces and Spaces, 2016

2014

Detecting Neutral Nodes in a Network of Heterogeneous Agent Based System.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the Social Networks: Analysis and Case Studies, 2014

On the Usage of Network Visualization for Multiagent System Verification.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the Online Social Media Analysis and Visualization, 2014

Detection of implied scenarios in multiagent systems with clustering agents' communications.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

2013

Detecting and fixing emergent behaviors in Distributed Software Systems using a message content independent method.

Fatemeh Hendijani Fard

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

Detecting distributed software components that will not cause emergent behavior in asynchronous communication style.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Detecting a certain kind of emergent behavior in multi agent systems applied on mase methodology.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

Visualizing the network of software agents for verification of multiagent systems.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Detecting emergent behavior in autonomous distributed systems with many components of the same type.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A method for detecting agents that will not cause emergent behavior in agent based systems - A case study in agent based auction systems -.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Clustering Social Networks to Remove Neutral Nodes.

Fatemeh Hendijani Fard, Behrouz H. Far

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012