2027 9th International Conference on Software Engineering and Computer Science (CSECS 2027) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Software Engineering and Computer Science. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

 

Track 1: 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

Track 2: 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, analysis, and evolution
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
Software engineering for AI systems (trustworthy, robust, and explainable AI)
Human-centric AI and software engineering

Track 3: 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

Track 4: Data Science, Big Data, and Cloud Computing
Data mining and knowledge discovery
Big data analytics and processing frameworks (Hadoop, Spark, Flink)
Machine learning and deep learning
Cloud computing, edge computing, and serverless architectures
Data management, data lakes, and data governance
Information retrieval and web mining
Visualization and visual analytics
Distributed and parallel computing systems

Track 5: Emerging Technologies and Interdisciplinary Applications
Software architecture for cloud-native, 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