Advances in Secure Software Development and AI-Powered Applications

The field of software development is progressing rapidly, with a focus on enhancing security, scalability, and performance. Researchers are exploring innovative approaches to secure software development, including the use of artificial intelligence and cloud-native databases. One notable direction is the development of self-healing software systems, which can autonomously detect and recover from failures. Additionally, there is a growing interest in privacy-preserving software development, with a focus on creating tools and frameworks that support developers in embedding privacy into software applications. The integration of AI workloads with cloud databases is also becoming increasingly important, with architects and enterprises seeking to build next-generation AI applications that optimize performance, scalability, and cost efficiency. Noteworthy papers in this area include the proposal of a novel framework for self-healing software systems and a comprehensive survey of mixing techniques and implementations for cryptocurrencies. The development of reflective practice in software engineering education is also an area of interest, with longitudinal studies highlighting the benefits of incorporating structured reflection into traditional degree programs.

Sources

Biting the CHERI bullet: Blockers, Enablers and Security Implications of CHERI in Defence

MVVM Revisited: Exploring Design Variants of the Model-View-ViewModel Pattern

Building Scalable AI-Powered Applications with Cloud Databases: Architectures, Best Practices and Performance Considerations

Evaluating Organization Security: User Stories of European Union NIS2 Directive

Self-Healing Software Systems: Lessons from Nature, Powered by AI

SoK: A Survey of Mixing Techniques and Mixers for Cryptocurrencies

SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective

The Development of Reflective Practice on a Work-Based Software Engineering Program: A Longitudinal Study

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