Latest Articles for Software Engineering

Learn how machine learning concepts help define testing boundaries for software.

Examining advancements and challenges in automating Model-Driven Engineering.

New methods enhance language model outputs while maintaining grammar rules.

This framework uses multiple agents and task graphs for efficient problem solving.

Exploring how devices can collaborate for better efficiency and performance.

An overview of metamorphic testing and its role in software quality.

This study assesses how GPT-4 aids in reverse engineering tasks.

SinkLoRA improves language models' efficiency in handling long texts.

This research focuses on how TDD quality is measured and reported.

DLHT offers a powerful solution for efficient data storage and retrieval.

Investigating social annotation's impact on programming students' engagement and performance.

This paper discusses a model for fault-tolerant distributed systems focused on weak recovery.

A new approach to create APIs from AAS specifications efficiently.

A look at how ERCL improves SAT solver efficiency.

FeaTestSelPrio enhances testing efficiency in highly configurable software systems.

A study on memory allocators and their impact on embedded system performance.

Exploring the significance of theorizing for software engineering researchers and educators.

This research focuses on using LLM-based agents for better software maintenance.

Study reveals effective embedding strategies for faster bug localization in software.

This article assesses the effectiveness of large language models in creating hardware assertions.

A new framework enhances reliability in asynchronous communication systems through time management.

A new method improves language models' efficiency while reducing costs and environmental impact.

Examining AI models for effective software log classification in telecom networks.

The DSLM captures light from distant galaxies using a unique modular design.

A look into WebAssembly analysis methods for secure execution.

CodeCSE improves linking code and comments using contrastive learning for software engineering.

Exploring methods for creating reliable controllers in various environments.

Combining Stochastic State Classes and simulation offers better analysis of complex systems.

A new framework improves communication reliability in multiparty message-passing protocols.

Exploring connections between logic programs and Boolean networks to enhance stable model insights.

Exploring how CSE task recommendations help software practitioners find suitable tasks.

Study develops models to predict software bugs in real-time for complex systems.

A method for ensuring software correctness through structured analysis.

A new method to enhance safety in critical systems using language models.

Learn how formal methods improve software design for complex configurations.

An overview of key issues in designing specialized computing hardware.

This study examines how snowballing improves research quality on Q&A platforms.

Generative AI streamlines systematic reviews in software engineering research.

A new framework assesses difficulty in coding tasks for large language models.

A program to teach model checking for reliable software development.