Adam Tornhill

16 papers A 2C 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Code for Machines, Not Just Humans: Quantifying AI-Friendliness with Code Health Metrics. CoRR Markus Borg, Nadim Hagatulah, Adam Tornhill, Emma Söderberg
2025	—	`conf`	ACE: Automated Technical Debt Remediation with Validated Large Language Model Refactorings. SIGSOFT FSE Companion Adam Tornhill, Markus Borg, Nadim Hagatulah, Emma Söderberg
2025	J	`jnl`	ACE: Automated Technical Debt Remediation with Validated Large Language Model Refactorings. CoRR Adam Tornhill, Markus Borg, Nadim Hagatulah, Emma Söderberg
2025	—	`conf`	Industrial Code Quality Benchmarks: Toward Gamification of Software Maintainability. Gamify Markus Borg, Amogha Udayakumar, Adam Tornhill
2024	A	`conf`	Ghost Echoes Revealed: Benchmarking Maintainability Metrics and Machine Learning Predictions Against Human Assessments. ICSME Markus Borg, Marwa Ezzouhri, Adam Tornhill
2024	J	`jnl`	Ghost Echoes Revealed: Benchmarking Maintainability Metrics and Machine Learning Predictions Against Human Assessments. CoRR Markus Borg, Marwa Ezzouhri, Adam Tornhill
2024	—	`conf`	Increasing, not Diminishing: Investigating the Returns of Highly Maintainable Code. TechDebt@ICSE Markus Borg, Ilyana Pruvost, Enys Mones, Adam Tornhill
2024	J	`jnl`	Increasing, not Diminishing: Investigating the Returns of Highly Maintainable Code. CoRR Markus Borg, Ilyana Pruvost, Enys Mones, Adam Tornhill
2024	J	`jnl`	Industrial Code Quality Benchmarks: Toward Gamification of Software Maintainability. CoRR Markus Borg, Amogha Udayakumar, Adam Tornhill
2023	A	`conf`	U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code. EASE Markus Borg, Adam Tornhill, Enys Mones
2023	J	`jnl`	U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code. CoRR Markus Borg, Adam Tornhill, Enys Mones
2022	J	`jnl`	Code Red: The Business Impact of Code Quality - A Quantitative Study of 39 Proprietary Production Codebases. CoRR Adam Tornhill, Markus Borg
2022	—	`conf`	Code red: the business impact of code quality - a quantitative study of 39 proprietary production codebases. TechDebt@ICSE Adam Tornhill, Markus Borg
2019	C	`conf`	Code Process Metrics in University Programming Education. Software Engineering (Workshops) Linus W. Dietz, Robin Lichtenthäler, Adam Tornhill, Simon Harrer
2018	—	`conf`	Assessing Technical Debt in Automated Tests with CodeScene. ICST Workshops Adam Tornhill
2018	—	`conf`	Prioritize technical debt in large-scale systems using codescene. TechDebt@ICSE Adam Tornhill

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.