9th International Conference on Software Engineering and Computer Science (SCECS 2027), 09-11 Apr 2027

The 9th International Conference on Software Engineering and Computer Science (SCECS 2027) highlights advances in intelligent software development, computational methods, data-driven technologies, and emerging digital applications.

Key Topics

Software engineering processes and methodologies
- Software development life cycle models and agile methodologies
- Requirements engineering, specification, and traceability
- Software design, modeling, and architecture
- Software testing, verification, and validation
- Software maintenance, evolution, and refactoring
- Software project management and quality assurance
- Reengineering, reverse engineering, and legacy system migration
- Software metrics and measurement
- Empirical software engineering and mining software repositories
- Safety-critical and security-critical software engineering
AI-driven software engineering and intelligent systems
- AI and machine learning applications in software engineering
- Generative AI and large language models (LLMs) for software development and analysis
- ChatGPT and foundation models in software engineering
- Automated code generation, repair, and refactoring
- Intelligent software testing and debugging
- Search-based software engineering
- AI-assisted requirements analysis and design
- Trustworthy, robust, and explainable AI systems
- Human-centric AI and software engineering
Computer science foundations and algorithms
- Algorithm design and analysis
- Graph and combinatorial algorithms
- Approximation, randomized, and online algorithms
- Parallel, distributed, and quantum algorithms
- Computational complexity and theory of computation
- Optimization algorithms and metaheuristics
- Pattern recognition and neural networks
- Data structures and database systems
Data science, big data, and cloud computing
- Data mining and knowledge discovery
- Big data analytics and processing frameworks (Hadoop, Spark, and Flink)
- Machine learning and deep learning
- Cloud, edge, and serverless computing architectures
- Data management, data lakes, and data governance
- Information retrieval and web mining
- Visualization and visual analytics
- Distributed and parallel computing systems
Emerging technologies and interdisciplinary applications
- Cloud-native software architecture, microservices, and DevOps
- Internet of Things (IoT) and cyber-physical systems
- Computer graphics, image processing, and computer vision
- Human-computer interaction and user experience
- Cybersecurity, privacy, and blockchain technologies
- Software agent technologies and multi-agent systems
- Program comprehension and visualization
- Software reuse, components, and composition