Fangchao Tian - RankMe

14 papers A 2C 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	BulkBFT: A Privacy-Preserving Asynchronous Byzantine Fault-Tolerant Consensus Algorithm Based on Batch Processing Mechanisms. CNML Feng Wang, Min Zhang, Shuo Yang, Yang Liu, Fangchao Tian
2025	—	`conf`	HRE-Store: A Hierarchical and Scalable Storage Architecture for Permissioned Blockchains. ICA3PP (1) Yang Liu, Xiangyu Cui, Fangchao Tian, Feng Wang, Han Li, Min Zhang
2025	J	`jnl`	RESEARCH NOTES - GMRepair: Graph Mining Template-Based Automated Software Repair. Int. J. Softw. Eng. Knowl. Eng. Heling Cao, Yanlong Guo, Yun Wang, Fangchao Tian, Zhaolong Wang, Yonghe Chu, Miaolei Deng, Panpan Wang, Zhenghao He, Shuting Wei
2025	—	`conf`	Shadow: Research on Asynchronous DAG Consensus Mechanism Based on Dynamic Privacy Address Selection. ICA3PP (2) Yang Liu, Tantan Yang, Feng Wang, Fangchao Tian
2025	J	`jnl`	Software Defect Prediction Based on Fuzzy Cost Broad Learning System. Int. J. Intell. Syst. Heling Cao, Zhiying Cui, Yonghe Chu, Lina Gong, Guangen Liu, Yun Wang, Fangchao Tian, Peng Li, Haoyang Ge
2024	A	`conf`	A Dataset of Microservices-based Open-Source Projects. MSR Dario Amoroso d'Aragona, Alexander Bakhtin, Xiaozhou Li, Ruoyu Su, Lauren Adams, Ernesto Aponte, Francis Boyle, Patrick Boyle, Rachel Koerner, Joseph Lee, Fangchao Tian, Yuqing Wang, Jesse Nyyssölä, Ernesto Quevedo, Md Shahidur Rahaman, Amr S. Abdelfattah, Mika Mäntylä, Tomás Cerný, Davide Taibi
2024	J	`jnl`	Multi-mechanism neural machine translation framework for automatic program repair. J. Intell. Fuzzy Syst. Heling Cao, Dong Han, Yonghe Chu, Fangchao Tian, Yun Wang, Yu Liu, Junliang Jia, Haoyang Ge
2022	J	`jnl`	Relationships between software architecture and source code in practice: An exploratory survey and interview. Inf. Softw. Technol. Fangchao Tian, Peng Liang, Muhammad Ali Babar
2021	J	`jnl`	Relationships between Software Architecture and Source Code in Practice: An Exploratory Survey and Interview. CoRR Fangchao Tian, Peng Liang, Muhammad Ali Babar
2021	J	`jnl`	The Impact of Traceability on Software Maintenance and Evolution: A Mapping Study. CoRR Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar
2021	J	`jnl`	The impact of traceability on software maintenance and evolution: A mapping study. J. Softw. Evol. Process. Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar
2020	C	`conf`	Automatic Identification of Architecture Smell Discussions from Stack Overflow. SEKE Fangchao Tian, Fan Lu, Peng Liang, Muhammad Ali Babar
2019	A	`conf`	How Developers Discuss Architecture Smells? An Exploratory Study on Stack Overflow. ICSA Fangchao Tian, Peng Liang, Muhammad Ali Babar
2017	—	`conf`	Exploring the Relationships between Software Architecture and Source Code. APSEC Workshops Fangchao Tian, Peng Liang

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.