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Alpine Linux Experiments with Systemd Compatibility While Keeping Its Lightweight Identity
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CachyOS June 2026 ISO Released with Hyprland Noctalia, Faster Performance, and Smarter System Tools
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Ubuntu 26.10 Development Officially Begins as ‘Stonking Stingray’ Takes Shape
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LibreOffice 26.4 Beta Experiments with AI Writing Features and Smarter Editing Tools
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PorteuX 2.6 Released with Linux 6.19, TLP Support, and Smarter Hardware Optimization
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Linux Kernel 7.1.4 Released with Bug Fixes, Security Updates, and Hardware Improvements
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Web element relocalization in evolving web applications: A comparative analysis and extension study
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Correction to: Is this build failure related to my patch? An empirical study of unrelated build failures in continuous integration
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Empirical studies on adversarial reverse engineering with students
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Aspect-centric vulnerability understanding via semantics-aware commit representation learning
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An empirical study of LLM-based refactoring consistency
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Is your prompt poisoning code? Defect induction rates and security mitigation strategies
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MinsC2Rust: LLM-driven project-level code migration from C to safe Rust
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Software dependencies 2.0: An empirical study of reuse and integration of pre-trained models in open-source projects
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Security issues in python open-source software: a mining study from GitHub
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Fedora Governance Changes Take Effect as Project Refines Leadership, Policy, and Contributor Oversight
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The Growth of Vulnerability Management: The Rise of Agentic AI Pentesting
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Linux Kernel 7.1 Officially Released with New NTFS Driver, Intel FRED, and Major Code Cleanup
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A recommendation system for predicting dependencies among software changes insights from an empirical study on OpenStack
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Open source software development tool installation
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Multi-scenario benchmark for autonomous driving systems: Exposing diverse behavioral anomalies
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: ntrastive Learning for Autoated tch Correctness Aessment in Program Repair
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Identifying performance-sensitive configurations in software systems with LLM-based agents
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From brittle to robust: Improving LLM annotations for SE optimization