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Showing 51–100 of 135 papers

TitleStatusHype
Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades—0
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs—0
NLP-assisted software testing: A systematic mapping of the literature—0
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks—0
Object-Oriented Test Case Generation Using Teaching Learning-Based Optimization (TLBO) Algorithm—0
On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned—0
On the Effectiveness of LLMs for Manual Test Verifications—0
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles—0
Ontology Based Test Case Generation for Black Box Testing—0
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI—0
Optimization of Test Case Generation using Genetic Algorithm (GA)—0
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation—0
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation—0
Rethinking Diversity in Deep Neural Network Testing—0
RITFIS: Robust input testing framework for LLMs-based intelligent software—0
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement—0
SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testing—0
Single Stage Prediction with Embedded Topic Modeling of Online Reviews for Mobile App Management—0
Software Testing for Machine Learning—0
Software testing for project report.—0
An empirical study of testing machine learning in the wild—0
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing—0
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation—0
Tasks People Prompt: A Taxonomy of LLM Downstream Tasks in Software Verification and Falsification Approaches—0
Test2Vec: An Execution Trace Embedding for Test Case Prioritization—0
Testing and Evaluation of Large Language Models: Correctness, Non-Toxicity, and Fairness—0
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques—0
TestLab: An Intelligent Automated Software Testing Framework—0
Test Selection for Deep Learning Systems—0
The Definitive Guide to Automated Regression Testing—0
The Future of Software Testing: AI-Powered Test Case Generation and Validation—0
The Impact of Software Testing with Quantum Optimization Meets Machine Learning—0
The Potential of LLMs in Automating Software Testing: From Generation to Reporting—0
The Role of Artificial Intelligence and Machine Learning in Software Testing—0
The State and Future of Genetic Improvement—0
ToolFuzz -- Automated Agent Tool Testing—0
Toward Neurosymbolic Program Comprehension—0
Towards a Common Testing Terminology for Software Engineering and Data Science Experts—0
Towards Improved Testing For Deep Learning—0
Towards Runtime Verification of Programmable Switches—0
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing—0
Use of Metamorphic Relations as Knowledge Carriers to Train Deep Neural Networks—0
Using Metamorphic Relations to Verify and Enhance Artcode Classification—0
Validating Multimedia Content Moderation Software via Semantic Fusion—0
VALTEST: Automated Validation of Language Model Generated Test Cases—0
Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview—0
WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities—0
MAO: A Framework for Process Model Generation with Multi-Agent Orchestration—0
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead—0
A Case Study on Test Case Construction with Large Language Models: Unveiling Practical Insights and Challenges—0
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