Geoffrey Hecht

17 papers A* 1A 2C 2Journal 2Unranked 9

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A taxonomy of service identification approaches for legacy software systems modernization. J. Syst. Softw. Manel Abdellatif, Anas Shatnawi, Hafedh Mili, Naouel Moha, Ghizlane El-Boussaidi, Geoffrey Hecht, Jean Privat, Yann-Gaël Guéhéneuc
2021	—	`conf`	Optimization of Java Virtual Machine Flags using Feature Model and Genetic Algorithm. ICPE (Companion) Felipe Canales, Geoffrey Hecht, Alexandre Bergel
2021	—	`conf`	Quality Histories of Past Extract Method Refactorings. ICCSA (7) Abel Mamani Taqui, Juan Pablo Sandoval Alcocer, Geoffrey Hecht, Alexandre Bergel
2021	—	`conf`	Quantifying the adoption of Kotlin on Android stores: Insight from the bytecode. MOBILESoft@ICSE Geoffrey Hecht, Alexandre Bergel
2021	—	`conf`	VR-Based User Interactions to Exploit Infinite Space in Programming Activities. SCCC Víctor Stefano Segura Castillo, Leonel Merino, Geoffrey Hecht, Alexandre Bergel
2020	—	`conf`	Vision: alleviating Android developer burden on obfuscation. MOBILESoft@ICSE Geoffrey Hecht, Cyprien Neverov, Alexandre Bergel
2019	J	`jnl`	Static Code Analysis of Multilanguage Software Systems. CoRR Anas Shatnawi, Hafedh Mili, Manel Abdellatif, Yann-Gaël Guéhéneuc, Naouel Moha, Geoffrey Hecht, Ghizlane El-Boussaidi, Jean Privat
2018	C	`conf`	Codifying Hidden Dependencies in Legacy J2EE Applications. APSEC Geoffrey Hecht, Hafedh Mili, Ghizlane El-Boussaidi, Anis Boubaker, Manel Abdellatif, Yann-Gaël Guéhéneuc, Anas Shatnawi, Jean Privat, Naouel Moha
2018	A	`conf`	State of the Practice in Service Identification for SOA Migration in Industry. ICSOC Manel Abdellatif, Geoffrey Hecht, Hafedh Mili, Ghizlane El-Boussaidi, Naouel Moha, Anas Shatnawi, Jean Privat, Yann-Gaël Guéhéneuc
2017	—	`conf`	Code Smells in iOS Apps: How Do They Compare to Android? MOBILESoft@ICSE Sarra Habchi, Geoffrey Hecht, Romain Rouvoy, Naouel Moha
2017	A	`conf`	Investigating the energy impact of Android smells. SANER Antonin Carette, Mehdi Adel Ait Younes, Geoffrey Hecht, Naouel Moha, Romain Rouvoy
2016	—	`conf`	An empirical study of the performance impacts of Android code smells. MOBILESoft Geoffrey Hecht, Naouel Moha, Romain Rouvoy
2016	—	`—`	Détection et analyse de l'impact des défauts de code dans les applications mobiles. (Detection and analysis of impact of code smells in mobile applications). Geoffrey Hecht
2015	—	`conf`	An Approach to Detect Android Antipatterns. ICSE (2) Geoffrey Hecht
2015	—	`conf`	Detecting Antipatterns in Android Apps. MOBILESoft Geoffrey Hecht, Romain Rouvoy, Naouel Moha, Laurence Duchien
2015	A*	`conf`	Tracking the Software Quality of Android Applications Along Their Evolution (T). ASE Geoffrey Hecht, Omar Benomar, Romain Rouvoy, Naouel Moha, Laurence Duchien
2014	C	`conf`	An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS). CloudCom Geoffrey Hecht, Benjamin Jose-Scheidt, Clement De Figueiredo, Naouel Moha, Foutse Khomh

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.