Advancements in Software Engineering and Technology

The field of software engineering and technology is rapidly evolving, with a focus on innovative solutions and methodologies to improve development processes, software quality, and overall efficiency. Recent studies have highlighted the importance of adopting agile practices, refactoring techniques, and security measures to ensure the reliability and maintainability of software systems. The integration of artificial intelligence, machine learning, and data analytics is also becoming increasingly prominent, enabling the development of more intelligent and adaptive systems. Furthermore, the need for more effective collaboration and communication between researchers, practitioners, and stakeholders is being addressed through the development of new frameworks, models, and tools. Noteworthy papers in this area include 'ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells', which explores the use of pre-trained transformer models for recommending suitable refactorings, and 'Security Debt in Practice: Nuanced Insights from Practitioners', which provides qualitative empirical insights into how software practitioners perceive, manage, and communicate security debts in real-world settings. 'RefModel: Detecting Refactorings using Foundation Models' is also significant, as it investigates the viability of using foundation models for refactoring detection, achieving competitive results with traditional tools.

Sources

A Systematic Mapping Study on Open Source Agriculture Technology Research

Large-Scale Processing and Validation of Grid Data for Assessing the Fair Spatial Distribution of PV Hosting Capacity

Preliminary Analysis of Construction Work Zone on Roadways in Florida by Crash Severity

The Engineer's Dilemma: A Review of Establishing a Legal Framework for Integrating Machine Learning in Construction by Navigating Precedents and Industry Expectations

Choosing the Right Git Workflow: A Comparative Analysis of Trunk-based vs. Branch-based Approaches

Characterizing Security and Privacy Teaching Standards for Schools in the United States

How to Define Design in Industrial Control and Automation Software

The Mythical Good Software

Complexity and Coupling: A Functional Domain Approach

Code Review as Decision-Making -- Building a Cognitive Model from the Questions Asked During Code Review

Electric Vehicle Public Charging Equity Considerations: A Systematic Review

Modelling Interrelations Between Agile Practices: The Agile Map

When Less is More: A systematic review of four-day workweek conceptualizations and their effects on organizational performance

An Empirical Study of Interaction Bugs in ROS-based Software

A Grounded Theory on the Teacher and Student Roles in Pair Programming

Streamlined Airborne Software Development for Large UAVs: From Unified Data Collection to Automated Code Generation

Towards a Closer Collaboration Between Practice and Research in Agile Software Development Workshop: A Summary and Research Agenda

RefModel: Detecting Refactorings using Foundation Models

Security Debt in Practice: Nuanced Insights from Practitioners

Towards Creating Infrastructures for Values and Ethics Work in the Production of Software Technologies

REST in Pieces: RESTful Design Rule Violations in Student-Built Web Apps

Reconfigurable Battery Systems for Enhanced Fast Charging in Electric Vehicles

FAIR-CS: Framework for Interdisciplinary Research Collaborations in Online Computing Programs

Expanding ML-Documentation Standards For Better Security

A Survey of Reinforcement Learning for Software Engineering

Rookie Mistakes: Measuring Software Quality in Student Projects to Guide Educational Enhancement

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells

A Three-Phase Evaluation Approach for new Information and Data Models in the Smart Grid Domain

Bridging Boundaries: How to Foster Effective Research Collaborations Across Affiliations in the Field of Trust and Safety

From Paranoia to Compliance: The Bumpy Road of System Hardening Practices on Stack Exchange

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