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Software failures can have catastrophic and costly consequences. Functional Failure Mode and Effects Analysis (FMEA) is a standard technique used within Cyber-Physical Systems (CPS) to identify software failures and assess their…

Software Engineering · Computer Science 2026-04-20 Andrea Bombarda , Federico Conti , Marcello Minervini , Aurora Zanenga , Claudio Menghi

Traditionally, digital hardware designs are written in the Verilog hardware description language (HDL) and debugged manually by engineers. This can be time-consuming and error-prone for complex designs. Large Language Models (LLMs) are…

Hardware Architecture · Computer Science 2025-03-06 Jason Blocklove , Shailja Thakur , Benjamin Tan , Hammond Pearce , Siddharth Garg , Ramesh Karri

Integrating external tools into Large Foundation Models (LFMs) has emerged as a promising approach to enhance their problem-solving capabilities. While existing studies have demonstrated strong performance in tool-augmented Visual Question…

Artificial Intelligence · Computer Science 2026-03-05 Shaofeng Yin , Ting Lei , Yang Liu

The ever increasing complexity of the hardware design process demands improved hardware design and verification methodologies. With the advent of generative AI various attempts have been made to automate parts of the design and verification…

Hardware Architecture · Computer Science 2025-12-02 Mubarek Mohammed

The medical device industry has significantly advanced by integrating sophisticated electronics like microchips and field-programmable gate arrays (FPGAs) to enhance the safety and usability of life-saving devices. These complex…

Signal Processing · Electrical Eng. & Systems 2025-05-09 Binesh Sadanandan , Bahareh Arghavani Nobar , Vahid Behzadan

Unit tests play a vital role in uncovering potential faults in software. While tools like EvoSuite focus on maximizing code coverage, recent advances in large language models (LLMs) have shifted attention toward LLM-based test generation.…

Software Engineering · Computer Science 2026-04-17 Guancheng Wang , Qinghua Xu , Lionel Briand , Kui Liu

Post-Quantum Cryptographic (PQC) algorithms are mathematically secure and resistant to quantum attacks but can still leak sensitive information in hardware implementations due to natural faults or intentional fault injections. The intent…

Cryptography and Security · Computer Science 2025-08-06 Rourab Paul , Paresh Baidya , Krishnendu Guha

Developers often spend much effort and resources to debug a program. To help the developers debug, numerous information retrieval (IR)-based and spectrum-based bug localization techniques have been devised. IR-based techniques process…

Information Retrieval · Computer Science 2018-07-27 Thong Hoang , Richard J. Oentaryo , Tien-Duy B. Le , David Lo

The authors propose the implementation of hybrid Fuzzy Logic-Genetic Algorithm (FL-GA) methodology to plan the automatic assembly and disassembly sequence of products. The GA-Fuzzy Logic approach is implemented onto two levels. The first…

Robotics · Computer Science 2007-05-23 L. M. Galantucci , G. Percoco , R. Spina

Prompt injection has emerged as a serious security threat to large language models (LLMs). At present, the current best-practice for defending against newly-discovered prompt injection techniques is to add additional guardrails to the…

Cryptography and Security · Computer Science 2023-12-20 Ahmed Salem , Andrew Paverd , Boris Köpf

Nowadays, development teams often rely on tools such as Jira or Bugzilla to manage backlogs of issues to be solved to develop or maintain software. Although they relate to many different concerns (e.g., bug fixing, new feature development,…

Software Engineering · Computer Science 2021-03-24 Quentin Perez , Pierre-Antoine Jean , Christelle Urtado , Sylvain Vauttier

Over the years of challenges on detecting the crash consistency of non-volatile persistent memory (PM) bugs and developing new tools to identify those bugs are quite stretching due to its inconsistent behavior on the file or storage…

Software Engineering · Computer Science 2023-07-22 Jahid Hasan

Fuzzing is a technique widely used in vulnerability detection. The process usually involves writing effective fuzz driver programs, which, when done manually, can be extremely labor intensive. Previous attempts at automation leave much to…

Software Engineering · Computer Science 2021-03-02 Mingrui Zhang , Jianzhong Liu , Fuchen Ma , Huafeng Zhang , Yu Jiang

Artificial Intelligence has gained a lot of traction in the recent years, with machine learning notably starting to see more applications across a varied range of fields. One specific machine learning application that is of interest to us…

Software Engineering · Computer Science 2023-05-10 Teodor Rares Begu

The art of finding software vulnerabilities has been covered extensively in the literature and there is a huge body of work on this topic. In contrast, the intentional insertion of exploitable, security-critical bugs has received little…

Cryptography and Security · Computer Science 2020-07-07 Jannik Pewny , Thorsten Holz

Hardware-firmware integration is becoming a productivity bottleneck due to the increasing complexity of accelerators, characterized by intricate memory hierarchies and firmware-intensive execution. While numerous verification techniques…

Hardware Architecture · Computer Science 2026-04-14 G Abarajithan , Zhenghua Ma , Francesco Restuccia , Ryan Kastner

In this paper, we introduce SynthAI, a new method for the automated creation of High-Level Synthesis (HLS) designs. SynthAI integrates ReAct agents, Chain-of-Thought (CoT) prompting, web search technologies, and the Retrieval-Augmented…

Artificial Intelligence · Computer Science 2024-09-24 Seyed Arash Sheikholeslam , Andre Ivanov

Hardware design verification (DV) is a process that checks the functional equivalence of a hardware design against its specifications, improving hardware reliability and robustness. A key task in the DV process is the test stimuli…

Machine Learning · Computer Science 2025-03-26 Zixi Zhang , Balint Szekely , Pedro Gimenes , Greg Chadwick , Hugo McNally , Jianyi Cheng , Robert Mullins , Yiren Zhao

Large language models (LLMs) have improved Verilog generation from natural-language specifications, but most pipelines still treat generation as isolated sampling followed by functional checking. This is insufficient for practical RTL…

Computation and Language · Computer Science 2026-05-27 Zehua Pei , Hui-Ling Zhen , Yu Zhang , Sinno Jialin Pan , Mingxuan Yuan , Bei Yu

Logic locking has been a promising solution to many hardware security threats, such as intellectual property infringement and overproduction. Due to the increased attention that threats have received, many efficient specialized attacks…

Cryptography and Security · Computer Science 2023-01-12 F. Almeida , L. Aksoy , Q-L. Nguyen , S. Dupuis , M-L. Flottes , S. Pagliarini