پروژه های آماده مهندسی نرم افزار

این پروژه یک مقاله آماده با موضوع،  تشخیص آسیب‌پذیری نرم‌افزارهای متن‌باز با هوش مصنوعی در ۶ صفحه ورد می باشد. در ادامه چکیده ای از این مقاله را خواهیم داشت: Abstract The growing use of open-source software (OSS) as a part of current development has brought intricate security issues in software supply chains. The paper is a proposal of AIVulnMitigate an artificial intelligence-based framework based on the detection and reduction of vulnerabilities in OSS dependencies through machine learning, large language models, and reinforcement learning. The framework is 64% more accurate in vulnerability detection and 40% faster in patch deployment, though not as fast as more advanced scanning methods do. AIVulnMitigate can be used to track vulnerabilities in a version and efficiently localize cascading risks on a multi-layer dependency graph by combining Software Bill of Materials (SBOM) analysis with AI-based reasoning. The system also offers explainable insights in order to enhance developer trust and decision-making. Its scalability, adaptability and better accuracy in dealing with the emerging threats in open-source ecosystems have been proven by the outcomes of the experiments and prove the potential of AI as the foundation of future software supply chain security. Keywords AI-based cybersecurity, software supply chain, open-source vulnerabilities, SBOM analysis, machine learning security.