专题:Software Reliability and Analysis Research

This cluster of papers focuses on the assessment and prediction of software reliability, utilizing architecture-based approaches, testing-effort dependent models, neural networks, and fault detection and correction processes. It also explores the reliability of component-based systems, NHPP models, open source software, and sensitivity analysis using Markov chain models.
最新文献
SEA Methodology for Reliability Analysis of Fault-Tolerant Digital Systems

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gptPromptFuzz: LLM Prompt Engineering Based Seed Generation for Effective Fuzzing

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Title: Paper 0B: Critical Regime Constraint Standard (CRCS) — Prohibition of Exogenous Forcing Under Observability Collapse (v1.0)

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Hybrid Deep Learning Framework for Estimating the Occurrence Rate of the Inverse Exponential Process: A Comparative Analysis of LSTM, ANN, and Traditional Methods

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A two-dimensional software reliability growth model incorporating testing effort and coverage

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A coupled failure mode and effects analysis method for hardware-software failure interactions in embedded systems of intelligent equipment

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Assessing Reliability in Manufacturing Systems by a New Arrangement of the Mean Time Between Failures (MTBF)

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Plug-in adaptive sampling for structural reliability: Key region Voronoi partitioning with cross-validated failure probability

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Safety Assessment of Fuze Based on T-S Fuzzy Fault Tree and Interval Triangular Fuzzy Multi-State Bayesian Network

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Galápagos: Automated N-Version Programming with LLMs

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近5年高被引文献
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

article Full Text OpenAlex 612 FWCI69.2641

Software Testing With Large Language Models: Survey, Landscape, and Vision

article Full Text OpenAlex 349 FWCI174.3379

Automated Program Repair in the Era of Large Pre-trained Language Models

article Full Text OpenAlex 304 FWCI66.9547

LineVul

article Full Text OpenAlex 286 FWCI86.9021

An Analysis of the Automatic Bug Fixing Performance of ChatGPT

article Full Text OpenAlex 286 FWCI63.5207

An empirical evaluation of GitHub copilot's code suggestions

article Full Text OpenAlex 265 FWCI82.1615

ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design

book-chapter Full Text OpenAlex 232 FWCI84.7584

CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models

article Full Text OpenAlex 213 FWCI46.9123

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

article Full Text OpenAlex 209 FWCI63.688

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

article Full Text OpenAlex 206 FWCI95.0112