Ranci Ren

11 papers A 1C 3Journal 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Perceived Usability of Collaborative Modeling Tools. CoRR Ranci Ren, John W. Castro, Santiago R. Acuña, Oscar Dieste, Silvia Teresita Acuña
2024	J	`jnl`	Using the SOCIO Chatbot for UML Modelling: A Family of Experiments. CoRR Ranci Ren, John W. Castro, Adrián Santos, Oscar Dieste, Silvia Teresita Acuña
2023	J	`jnl`	Perceived usability of collaborative modeling tools. J. Syst. Softw. Ranci Ren, John W. Castro, Santiago R. Acuña, Oscar Dieste, Silvia Teresita Acuña
2023	J	`jnl`	Using the SOCIO Chatbot for UML Modelling: A Family of Experiments. IEEE Trans. Software Eng. Ranci Ren, John W. Castro, Adrián Santos, Oscar Dieste, Silvia Teresita Acuña
2022	J	`jnl`	Experimentation for Chatbot Usability Evaluation: A Secondary Study. IEEE Access Ranci Ren, Mireya Zapata, John W. Castro, Oscar Dieste, Silvia Teresita Acuña
2022	J	`jnl`	Using the SOCIO Chatbot for UML Modeling: A Second Family of Experiments on Usability in Academic Settings. IEEE Access Ranci Ren, Sara Pérez-Soler, John W. Castro, Oscar Dieste, Silvia Teresita Acuña
2021	C	`conf`	A family of experiments for evaluating the usability of a collaborative modelling chatbot. SEKE Ranci Ren, John W. Castro, Silvia Teresita Acuña
2021	C	`conf`	Evaluation of Chatbots Usability Experimentation (S). SEKE Ranci Ren, John W. Castro, Silvia Teresita Acuña
2020	A	`conf`	Collaborative Modelling: Chatbots or On-Line Tools? An Experimental Study. EASE Ranci Ren, John W. Castro, Adrián Santos, Sara Pérez-Soler, Silvia Teresita Acuña, Juan de Lara
2019	J	`jnl`	Evaluation Techniques for Chatbot Usability: A Systematic Mapping Study. Int. J. Softw. Eng. Knowl. Eng. Ranci Ren, John W. Castro, Silvia Teresita Acuña, Juan de Lara
2019	C	`conf`	Usability of Chatbots: A Systematic Mapping Study. SEKE Ranci Ren, John W. Castro, Silvia Teresita Acuña, Juan de Lara

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.