Fatemeh H. Fard

67 papers A* 1A 15B 1C 1Journal 44Unranked 4

Year	Rank	Type	Title / 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

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.