Clustering Social Networks to Remove Neutral Nodes. - Fatemeh Hendijani Fard; Behrouz H. Far (ASONAM, 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 (IRI, 2012)

Detecting emergent behavior in autonomous distributed systems with many components of the same type. - Fatemeh Hendijani Fard; Behrouz H. Far (SMC, 2012)

Visualizing the network of software agents for verification of multiagent systems. - Fatemeh Hendijani Fard; Behrouz H. Far (ASONAM, 2013)

Detecting a certain kind of emergent behavior in multi agent systems applied on mase methodology. - Fatemeh Hendijani Fard; Behrouz H. Far (CCECE, 2013)

Detecting distributed software components that will not cause emergent behavior in asynchronous communication style. - Fatemeh Hendijani Fard; Behrouz H. Far (IRI, 2013)

Detecting and fixing emergent behaviors in Distributed Software Systems using a message content independent method. - Fatemeh Hendijani Fard (ASE, 2013)

Detection of implied scenarios in multiagent systems with clustering agents' communications. - Fatemeh Hendijani Fard; Behrouz H. Far (IRI, 2014)

On the Usage of Network Visualization for Multiagent System Verification. - Fatemeh Hendijani Fard; Behrouz H. Far (Online Social Media Analysis and Visualization, 2014)

Detecting Neutral Nodes in a Network of Heterogeneous Agent Based System. - Fatemeh Hendijani Fard; Behrouz H. Far (Social Networks: Analysis and Case Studies, 2014)

A Toolkit for Building Collaborative Immersive Multi-Surface Applications. - Cooper Davies; Jade White; Alec McAllister; Adam Saroka; Omar Addam; Fatemeh Hendijani Fard; Frank Maurer (ISS, 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 (ISS Companion, 2016)

Detecting and Fixing Emergent Behaviors in Distributed Software Systems Using a Message Content Independent Method. - Fatemeh Hendijani Fard (2016)

Agile Emergency Responses Using Collaborative Planning HTN. - Fatemeh Hendijani Fard; Cooper Davies; Frank Maurer (ISCRAM, 2017)

A Hybrid System for Detection of Implied Scenarios in Distributed Software Systems (S). - Anja Slama; Fatemeh Hendijani Fard; Behrouz H. Far (SEKE, 2018)

Where Does LDA Sit for GitHub? - Xukun Wang; Matthias Lee; Angie Pinchbeck; Fatemeh H. Fard (ASE Workshops, 2019)

Geo-Spatial Data Visualization and Critical Metrics Predictions for Canadian Elections. - Mohammad Abdul Hadi; Fatemeh Hendijani Fard; Irene Vrbik (CCECE, 2020)

ReviewViz: assisting developers perform empirical study on energy consumption related reviews for mobile applications. - Mohammad Abdul Hadi; Fatemeh Hendijani Fard (MOBILESoft@ICSE, 2020)

Semantic analysis of issues on Google play and Twitter. - Aman Yadav; Fatemeh Hendijani Fard (ICSE (Companion Volume), 2020)

AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis. - Mohammad Abdul Hadi; Fatemeh H. Fard (ICSME, 2020)

A Semantic-Based Framework for Analyzing App Users' Feedback. - Aman Yadav; Rishab Sharma; Fatemeh Hendijani Fard (SANER, 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; et al. (CoRR, 2020)

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 (CCECE, 2021)

Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms. - Rishab Sharma; Fatemeh H. Fard; Apurva Narayan (ICMLA, 2021)

API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations. - Ramin Shahbazi; Rishab Sharma; Fatemeh H. Fard (ICPC, 2021)

Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation. - Yue Cao; Fatemeh H. Fard (ASE Workshops, 2021)

Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study. - Zadia Codabux; Melina C. Vidoni; Fatemeh H. Fard (MSR, 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 001 (CoRR, 2021)

On the transferability of pre-trained language models for low-resource programming languages. - Fuxiang Chen; Fatemeh H. Fard; David Lo 001; Timofey Bryksin (ICPC, 2022)

On the cross-modal transfer from natural language to code through adapter modules. - Divyam Goel; Ramansh Grover; Fatemeh H. Fard (ICPC, 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 001 (ICPC, 2022)

ARSeek: identifying API resource using code and discussion on stack overflow. - Kien Luong; Mohammad Abdul Hadi; Ferdian Thung; Fatemeh H. Fard; David Lo 001 (ICPC, 2022)

An exploratory study on code attention in BERT. - Rishab Sharma; Fuxiang Chen; Fatemeh H. Fard; David Lo 001 (ICPC, 2022)

LAMNER: code comment generation using character language model and named entity recognition. - Rishab Sharma; Fuxiang Chen; Fatemeh H. Fard (ICPC, 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)

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; et al. (Empir. Softw. Eng., 2022)

Infinite technical debt. - Melina C. Vidoni; Zadia Codabux; Fatemeh H. Fard (J. Syst. Softw., 2022)

Algorithm Debt: Challenges and Future Paths. - Emmanuel Iko-Ojo Simon; Melina C. Vidoni; Fatemeh H. Fard (CAIN, 2023)

APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation. - Ramin Shahbazi; Fatemeh Hendijani Fard (ICPC, 2023)

Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models. - Iman Saberi; Fatemeh H. Fard (MSR, 2023)

Evaluating Code Comment Generation With Summarized API Docs. - Bilel Matmti; Fatemeh H. Fard (NLBSE@ICSE, 2023)

Multilingual Adapter-based Knowledge Aggregation on Code Summarization for Low-Resource Languages. - Iman Saberi; Fatemeh H. Fard; Fuxiang Chen (CoRR, 2023)

Utilization of Pre-trained Language Model for Adapter-based Knowledge Transfer in Software Engineering. - Iman Saberi; Fatemeh H. Fard; Fuxiang Chen (CoRR, 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)

Teaching Mining Software Repositories. - Zadia Codabux; Fatemeh H. Fard; Roberto Verdecchia; Fabio Palomba; Dario Di Nucci; Gilberto Recupito (Handbook on Teaching Empirical Software Engineering, 2024)

Technical Briefing on Parameter Efficient Fine-Tuning of (Large) Language Models for Code-Intelligence. - Fatemeh H. Fard (ICSE Companion, 2024)

StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generation. - Davit Abrahamyan; Fatemeh H. Fard (ICSME, 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 (ICPC, 2024)

Studying Vulnerable Code Entities in R. - Zixiao Zhao; Millon Madhur Das; Fatemeh H. Fard (ICPC, 2024)

Studying Versioning in Stack Overflow. - Yiyun Chen; Fuxiang Chen; Mijung Kim; Fatemeh H. Fard (ASE, 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)

Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent. - Jie JW Wu; Fatemeh H. 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 001 (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)

Survey on Code Generation for Low resource and Domain Specific Programming Languages. - Sathvik Joel; Jie JW Wu; Fatemeh H. Fard (CoRR, 2024)

Do Current Language Models Support Code Intelligence for R Programming Language? - Zixiao Zhao; Fatemeh H. Fard (CoRR, 2024)

Context-Augmented Code Generation Using Programming Knowledge Graphs. - Iman Saberi; Fatemeh H. Fard (CoRR, 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., 2024)

Evaluating few-shot and contrastive learning methods for code clone detection. - Mohamad Khajezade; Fatemeh H. Fard; Mohamed S. Shehata (Empir. Softw. Eng., 2024)

OpenMent: A Dataset of Mentor-Mentee Interactions in Google Summer of Code. - Erfan Raoofian; Fatemeh H. Fard; Ifeoma Adaji; Gema Rodríguez-Pérez (MSR, 2025)

On the Performance of Large Language Models for Code Change Intent Classification. - Issam Oukhay; Moataz Chouchen; Ali Ouni 001; Fatemeh H. Fard (SANER, 2025)

AdvFusion: Adapter-based Knowledge Transfer for Code Summarization on Code Language Models. - Iman Saberi; Amirreza Esmaeili; Fatemeh Hendijani Fard; Fuxiang Chen (SANER, 2025)

The Software Industry-Academia Collaboration: Novelty and Practice. - Zadia Codabux; Fatemeh Hendijani Fard (IEEE Softw., 2025)

Teaching Mining Software Repositories. - Zadia Codabux; Fatemeh H. Fard; Roberto Verdecchia; Fabio Palomba; Dario Di Nucci; Gilberto Recupito (CoRR, 2025)

Unveiling Ruby: Insights from Stack Overflow and Developer Survey. - Nikta Akbarpour; Ahmad Saleem Mirza; Erfan Raoofian; Fatemeh Hendijani Fard; Gema Rodríguez-Pérez (CoRR, 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, 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., 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., 2025)