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20 results for “software configuration”

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cs.SETheoreticalRecentJun 23, 2026

Architecting Hybrid Quantum-Classical Software Systems: Exploration of the Design Trade-off Space with Quantitative Guarantees

Álvaro M. Aparicio-Morales, Jose Garcia-Alonso, Javier Cámara, Juan M. Murillo

This paper proposes a method to explore the design space of quantum-classical applications using a formalization of an architectural style, enabling dynamic selection of the most suitable configuratio…

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cs.CRRecentMar 23, 2026

Semi-Automated Threat Modeling of Cloud-Based Systems Through Extracting Software Architecture from Configuration and Network Flow

Nicholas Pecka, Lotfi Ben Othmane, Bharat Bhargava, Renee Bryce

The paper proposes a novel semi-automated method to perform continuous threat modeling by inferring the actual system architecture from combined static configuration and dynamic network flow data, sig…

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cs.DCEmpiricalRecentJul 21, 2026

A User-oriented Portable, Reproducible, and Scalable Software Ecosystem

Alfio Lazzaro, Utz-Uwe Haus, Sandrine Charousset, Nina Mujkanovic

This paper presents a software ecosystem enabling consistent development environments for running workflows across diverse hardware platforms.

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cs.SEcs.CRRecentJun 1, 2026

Poking Around in the Dark: Why a Shared Understanding of Components Matters

Felix Reichmann, Wolfgang Krane, Alena Naiakshina, Martin Johns +1 more

The paper argues that current Software Bills of Materials (SBOMs) are fundamentally flawed due to a lack of shared understanding regarding what constitutes a 'component,' demonstrating that existing t…

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cs.DCcs.SEEmpiricalRecentJul 28, 2026

WASP: A Configurable Framework for Portable Stateful Serverless Applications

Matteo Cenzato, Dario d'Abate, Arianna Dragoni, Giacomo Orsenigo +2 more

WASP is a configurable framework for stateful serverless execution on the edge-cloud continuum, allowing swapping of runtimes, datastores, and policies.

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cs.CRcs.PLRecentApr 21, 2026

Adding Compilation Metadata To Binaries To Make Disassembly Decidable

Daniel Engel, Freek Verbeek, Pranav Kumar, Binoy Ravindran

The paper proposes a new binary format that embeds compiler-generated metadata into executables, making the binary structure more transparent and enabling reliable analysis, instrumentation, and recom…

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cs.SEcs.AIPositionRecentJun 26, 2026

Reasoning Beyond Prediction: From Data-Driven to Causal Software Engineering

Roberto Pietrantuono, Luca Giamattei, Stefano Russo

This paper proposes a new paradigm for human-machine cooperation in software engineering, where machines amplify engineers' reasoning through causation.

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cs.SEEmpiricalRecentJul 8, 2026

On the Correctness of Software Merge

Akira Mori, Masatomo Hashimoto

The paper introduces a new structural merge tool that ensures parsability and universality in comparison to existing tools, resulting in fewer incorrect merge results.

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cs.PLcs.OSEmpiricalRecentJul 27, 2026

KernelScript: Cross-Boundary Typed DSL for eBPF Applications

Cong Wang, Siyuan Sun, Yusheng Zheng

The paper introduces KernelScript, a DSL for eBPF that types maps, program handles, and execution domains to unify cross-boundary relationships, prevent bugs at compile time, and reduce diff size.

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cs.CLRecentJun 1, 2026

HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems

Mingju Chen, Can Lv, Guibin Zhang, Heng Chang +1 more

HarnessForge introduces a meta-adaptive framework that jointly evolves the execution structure (harness) and the reasoning policy of LLM agents, significantly improving overall system performance acro…

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cs.CRcs.SERecentMay 3, 2026

VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns

Jia Li, Zhuangbin Chen, Yuxin Su, Michael R. Lyu

VulKey introduces a novel LLM-based framework that uses a hierarchical abstraction of expert security knowledge to guide automatic vulnerability repair, achieving state-of-the-art performance on real-…

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cs.SEcs.AIcs.CLRecentJun 4, 2026

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

Liliana Hotsko, Yinxi Li, Yuntian Deng, Pengyu Nie

Code2LoRA introduces a hypernetwork framework to efficiently inject repository-specific knowledge into code language models using LoRA adapters, supporting both static and evolving codebases.

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cs.CRRecentJun 1, 2026

PeAR: A Static Binary Rewriting Framework for Binary-Only Fuzzing

Alvin Charles, Adrian Herrera, Peter Oslington, Alwen Tiu

The paper introduces PeAR, a static binary rewriting framework that proves static binary instrumentation (SBI) is a practical and effective alternative to dynamic binary instrumentation (DBI) for high…

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cs.CRRecentMay 8, 2026

Longitudinal Analyses of SAST Tools: A CodeQL Case Study

Jean-Charles Noirot Ferrand, Kyle Domico, Yohan Beugin, Patrick McDaniel

This study conducts a large-scale longitudinal analysis of CodeQL, finding that while the tool is effective at detecting vulnerabilities, its detection capabilities are not guaranteed to be stable acr…

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cs.SEcs.CRRecentMar 25, 2026

Software Supply Chain Smells: Lightweight Analysis for Secure Dependency Management

Larissa Schmid, Diogo Gaspar, Raphina Liu, Sofia Bobadilla +2 more

The paper introduces 'software supply chain smells,' structural indicators of security risks in third-party dependencies, and presents Dirty-Waters, a tool that detects these smells, finding that diff…

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cs.CRcs.SERecentMay 4, 2026

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code

Han Dai, Soumyakant Priyadarshan, Abdullah Imran, Ruoyu Wang +1 more

SCRIBE is a novel framework that enables reliable source-level patching of binaries by performing 'binary-aware' recompilation, successfully resolving syntactic and semantic inaccuracies inherent in d…

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cs.CRRecentApr 20, 2026

TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEs

Ting Zhang, Yikun Li, Chengran Yang, Ratnadira Widyasari +14 more

TitanCA presents a novel, multi-agent LLM orchestration framework that significantly improves vulnerability discovery by reducing false positives and identifying numerous zero-day vulnerabilities.

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