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.
Advancements in Software Engineering and Technology
Sources
Large-Scale Processing and Validation of Grid Data for Assessing the Fair Spatial Distribution of PV Hosting Capacity
The Engineer's Dilemma: A Review of Establishing a Legal Framework for Integrating Machine Learning in Construction by Navigating Precedents and Industry Expectations
Code Review as Decision-Making -- Building a Cognitive Model from the Questions Asked During Code Review
When Less is More: A systematic review of four-day workweek conceptualizations and their effects on organizational performance
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
Towards Creating Infrastructures for Values and Ethics Work in the Production of Software Technologies