Latest Articles for Software Engineering

New dataset and training method improve software name recognition.

This study examines how IR techniques can aid in selecting test cases.

This paper explores better methods to evaluate code generation models using causal inference.

A study on the performance of three genetic algorithms in software refactoring.

This study examines how time limits affect software model optimization quality.

Introducing a framework to assess LLM performance in knowledge graph tasks.

Focusing on simplicity can improve software model understanding and effectiveness.

A technique to reduce code model size while maintaining performance.

Learn about a new method for identifying bugs in quantum computing.

Learn how program variants can improve WebAssembly security against vulnerabilities.

Assessing ChatGPT's effectiveness in log parsing, analytics, and summarization tasks.

LogShrink offers improved compression for costly log data storage.

Dive into the unique elements of requirements engineering for quantum software.

MuST leverages GPU technology to enhance electronic structure calculations in solid materials.

Learn how to manage doActivities within UML state machines effectively.

Research reveals new methods for improving theorem proving using large language models.

ONNXExplainer offers fast explanations for neural networks, improving transparency in AI.

A new approach to monitor neural networks during operation to ensure reliability.

Exploring tools and methods for analyzing systems influenced by time and parameters.

CodePrompt improves programming code classification using pre-trained language models.

Examining the impact of the pandemic on software engineering researchers.

A look at combining behavior trees with Lingua Franca for improved automation.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

A look into memory management techniques for improved performance in multi-threaded applications.

Learn how multiparty session types facilitate clear communication in complex systems.

Introducing Z3alpha, a new method for SMT strategy generation using Monte Carlo Tree Search.

Introducing a framework for customizable graph representations in code analysis.

Exploring how ChatGPT can improve commit message quality in software development.

New methods enhance detection of timing vulnerabilities in hardware designs.

A new method improves regression testing efficiency using historical data.

An analysis of reproducibility issues in deep learning software fault prediction research.

KGroot enhances fault diagnosis in microservices through advanced knowledge graphs.

A model to evaluate test case and suite quality for better software reliability.

A new method trains code models effectively without relying on symbols.

Learn how Green Coding promotes sustainable software practices.

Explore the significance of performance requirements and testing in software projects.

AutoRobust uses reinforcement learning to strengthen malware detection systems against adversarial tactics.

Discover how hybrid languages enhance programming through text-visual integration.

A review of deep learning's role in predicting software performance configurations.

A new automated method helps developers create security test cases for RESTful APIs.