Data/knowledge engineering and software engineering are two developing areas in information and communication technology, which are interrelated and have significant roles in changing the world in many aspects, such as business, education, government, and society. Although these disciplines are pretty mature, research and development in these disciplines are still evolving to provide better performance of offered services or products in different criteria, e.g., efficiency or effectiveness.

8th International Conference on Data and Software Engineering (ICoDSE 2022) will bring together scientists, educators, engineers, and practitioners from multiple disciplines to focus on engineering complex software system and data-intensive software systems. The conference will feature world-class keynotes and research & industry presentations to discuss high-quality research results and industry experiences in this field.

We are open to a wide range of topics related to data/knowledge engineering and software engineering, including (but are not limited to):

Software Engineering Track

• Software Engineering Process & Lifecycle
• Software Analysis and Design Methods
• Software Quality Assurances
• Open Source Software
• Software Measurement
• Requirements Engineering
• Agile Methodology
• Extreme Programming
• Empirical Software Engineering
• Software Engineering Education
• Software Project Management
• Software Industry
• Software Product Line
• Security Software and System
• Software Architecture
• Cloud Computing
• Software Engineering Tools
• Software Technologies
• SOA (Service Oriented Architecture)
• Business Process Management System
• Ultra Large-Scale System
• Software Engineering for Supporting Metaverse

Data Engineering Track

• Data and Knowledge Modeling
• Information Management Practices
• Knowledge-Based Management Systems
• Knowledge Discovery in Data
• Data/Process Mining
• Semantic Web Technology
• Web Analytics
• Business Intelligence
• Ontology
• Data Visualization & Analytics
• Data Science
• Database Technology
• Spatial and Temporal Database
• Distributed Database
• Open Data
• Big Data
• Data and Information Security
• Data Engineering for Supporting Metaverse

Prospective authors are invited to submit full papers under the Submission Guidelines.

Prospective authors are invited to submit full papers of no more than six (6) pages including results, according to IEEE Xplore template . All submissions will be peer-reviewed based on originality, technical quality and presentation. The accepted papers will be published in IEEEXplore and indexed by Scopus (in progress).