Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
This track focuses on the latest advancements in software architecture, emphasizing modular design and scalability. Participants will explore how innovative architectural approaches can enhance system performance and maintainability.
This session will delve into the application of design patterns in contemporary software engineering practices. Attendees will discuss the relevance of established patterns and the emergence of new ones in addressing complex software challenges.
This track will cover various predictive modeling techniques, including supervised and unsupervised learning methodologies. Researchers will present their findings on how these techniques can be applied to improve software systems and processes.
This session will explore the integration of deep learning algorithms within software engineering frameworks. Discussions will include the impact of deep learning on software development, testing, and maintenance.
This track focuses on methodologies for anomaly detection in software systems, highlighting both traditional and machine learning approaches. Participants will share insights on improving system reliability and performance through effective anomaly detection.
This session will examine techniques for feature extraction that can optimize software performance and functionality. Researchers will discuss the importance of feature selection in the context of predictive modeling and machine learning.
This track will investigate the role of workflow automation in streamlining software development processes. Participants will share case studies and best practices for implementing automation tools to enhance productivity.
This session will address the significance of system monitoring and predictive maintenance in software systems. Attendees will explore strategies for implementing monitoring solutions that preemptively identify and resolve issues.
This track will focus on model evaluation methods and optimization techniques in software engineering. Researchers will present novel approaches to enhance model accuracy and efficiency in various applications.
This session will explore the intersection of industrial IoT and software architecture, emphasizing the design considerations for IoT-enabled systems. Participants will discuss architectural patterns that facilitate the integration of IoT technologies.
This track will investigate the role of smart contracts and digital twins in modern software architecture. Discussions will focus on how these technologies can transform software design and operational efficiency.