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Vulnerability detection has always been the most important task in the field of software security. With the development of technology, in the face of massive source code, automated analysis and detection of vulnerabilities has become a…

Cryptography and Security · Computer Science 2021-04-26 Jiajie Wu

The rapid adoption of blockchain technology highlighted the importance of ensuring the security of smart contracts due to their critical role in automated business logic execution on blockchain platforms. This paper provides an empirical…

Software Engineering · Computer Science 2026-05-19 Francesco Salzano , Cosmo Kevin Antenucci , Simone Scalabrino , Giovanni Rosa , Rocco Oliveto , Remo Pareschi

Context: Software vulnerabilities pose a significant threat to modern software systems, as evidenced by the growing number of reported vulnerabilities and cyberattacks. These escalating trends underscore the urgent need for effective…

Software Engineering · Computer Science 2025-07-01 Siyu Chen , Jiongyi Yang , Xiang Chen , Menglin Zheng , Minnan Wei , Xiaolin Ju

Each year, thousands of software vulnerabilities are discovered and reported to the public. Unpatched known vulnerabilities are a significant security risk. It is imperative that software vendors quickly provide patches once vulnerabilities…

Cryptography and Security · Computer Science 2017-07-26 Benjamin L. Bullough , Anna K. Yanchenko , Christopher L. Smith , Joseph R. Zipkin

Context: Today's safety critical systems are increasingly reliant on software. Software becomes responsible for most of the critical functions of systems. Many different safety analysis techniques have been developed to identify hazards of…

Software Engineering · Computer Science 2016-12-02 Asim Abdulkhaleq , Stefan Wagner

The identification of vulnerabilities is an important element in the software development life cycle to ensure the security of software. While vulnerability identification based on the source code is a well studied field, the identification…

Cryptography and Security · Computer Science 2022-12-05 Andreas Schaad , Dominik Binder

With the increasing concern for security in the network, many approaches are laid out that try to protect the network from unauthorised access. New methods have been adopted in order to find the potential discrepancies that may damage the…

Cryptography and Security · Computer Science 2014-03-28 Sheetal Bairwa , Bhawna Mewara , Jyoti Gajrani

Test-based automated program repair has been a prolific field of research in software engineering in the last decade. Many approaches have indeed been proposed, which leverage test suites as a weak, but affordable, approximation to program…

Java platform provides various APIs to facilitate secure coding. However, correctly using security APIs is usually challenging for developers who lack cybersecurity training. Prior work shows that many developers misuse security APIs; such…

Cryptography and Security · Computer Science 2021-02-16 Ying Zhang , Mahir Kabir , Ya Xiao , Danfeng , Yao , Na Meng

Formal verification and testing are complementary approaches which are used in the development process to verify the functional correctness of software. However, the correctness of software cannot ensure the safe operation of…

Software Engineering · Computer Science 2016-12-12 Asim Abdulkhaleq , Stefan Wagner , Nancy Leveson

Detecting security vulnerabilities in software before they are exploited has been a challenging problem for decades. Traditional code analysis methods have been proposed, but are often ineffective and inefficient. In this work, we model…

Cryptography and Security · Computer Science 2021-05-07 Noah Ziems , Shaoen Wu

Static Application Security Testing (SAST) tools using taint analysis are widely viewed as providing higher-quality vulnerability detection results compared to traditional pattern-based approaches. However, performing static taint analysis…

In this experience paper, we report on a large-scale empirical study of Static Application Security Testing (SAST) in Open-Source Embedded Software (EMBOSS) repositories. We collected a corpus of 258 of the most popular EMBOSS projects, and…

Software Engineering · Computer Science 2025-04-28 Mingjie Shen , Akul Abhilash Pillai , Brian A. Yuan , James C. Davis , Aravind Machiry

Automated vulnerability detection tools are widely used to identify security vulnerabilities in software dependencies. However, the evaluation of such tools remains challenging due to the heterogeneous structure of vulnerability data…

Software Engineering · Computer Science 2026-04-24 Peter Mandl , Paul Mandl , Martin Häusl , Maximilian Auch

This paper proposes a pipeline for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available dataset. We carry out an extensive technical evaluation of ChatGPT using Big-Vul covering five different common software…

Software Engineering · Computer Science 2024-04-08 Xin Yin

Background: The C and C++ languages hold significant importance in Software Engineering research because of their widespread use in practice. Numerous studies have utilized Machine Learning (ML) and Deep Learning (DL) techniques to detect…

Software Engineering · Computer Science 2024-08-06 Anh The Nguyen , Triet Huynh Minh Le , M. Ali Babar

Thousands of security vulnerabilities are discovered in production software each year, either reported publicly to the Common Vulnerabilities and Exposures database or discovered internally in proprietary code. Vulnerabilities often…

The exploit or the Proof of Concept of the vulnerability plays an important role in developing superior vulnerability repair techniques, as it can be used as an oracle to verify the correctness of the patches generated by the tools.…

The number of vulnerabilities reported in open source software has increased substantially in recent years. Security patches provide the necessary measures to protect software from attacks and vulnerabilities. In practice, it is difficult…

Software Engineering · Computer Science 2024-01-17 Zhiyuan Pan , Xing Hu , Xin Xia , Xian Zhan , David Lo , Xiaohu Yang

Software vulnerabilities are major risks to software systems. Recently, researchers have proposed many deep learning approaches to detect software vulnerabilities. However, their accuracy is limited in practice. One of the main causes is…

Software Engineering · Computer Science 2025-11-13 Zeru Cheng , Yanjing Yang , He Zhang , Lanxin Yang , Jinghao Hu , Jinwei Xu , Bohan Liu , Haifeng Shen