About the Journal
The Journal of Web Engineering (JWE) provides a forum for advancing the scientific state of knowledge in all areas of Web Engineering. The World Wide Web and its associated technologies have become a major implementation and delivery platform for a large variety of applications, ranging from simple institutional information Web sites to sophisticated supply-chain management systems, financial applications, e-government, distance learning, and entertainment, among others. Such applications, in addition to their intrinsic functionality, also exhibit the more complex behavior of distributed applications.
Web Engineering is the scientific discipline that studies the theory and practice of constructing Web-based systems and applications. This includes theoretical principles and systematic, disciplined and quantifiable approaches towards the cost-effective development and evolution of high-quality, ubiquitously usable Web-based systems and applications. It fundamentally concerns the technology which enables the construction of Web applications. Web Engineering, while rooted in Computer Science and Engineering, draws from a diverse range of other disciplines, such as information science, information systems, and management and business, among others.
Recently, there have been some advances towards re-framing the development - both design and implementation - of Web applications as a disciplined and systematic endeavor. However, the vast majority of existing applications have been developed in an ad-hoc way, leading to problems of maintainability, quality and reliability. Web applications are software artifacts, and as such can benefit by making use of established practices stemming from several related disciplines such as Software Engineering, Hypermedia, Information Systems, Human-Computer Interaction and Organizational Science, enabling creation, management and reuse of structures of the information space as well as enhancing the end-user experience. In addition, it has its own characteristics which must be addressed, such as a varied user population, very short development turnaround times, diverse runtime environments, accessibility through multiple devices, etc.
The Journal of Web Engineering articles encompass, but are not restricted to:
1. Foundations of Web Engineering
• Web application development methods and processes
• Web application development tools and environments
• Modeling and model-based design and development
• Component-based Web application development
• Implementation architectures
• Web design patterns and pattern mining
• Web Engineering education
2. Web Interaction, User Interface, and User Experience
• Navigation and hypermedia
• Human–computer interaction and user modeling
• Web application usability
• Adaptive Web applications and personalization
• Immersive & Extended Reality Web
• Sustainability and Human-Centric Web
3. Data, Content, and Semantic Web & Metadata
• Content retrieval and search
• Use and integration of metadata in Web applications
• Application of Semantic Web technology in Web applications
• Data-Intensive and Real-Time Web
4. Quality of Experience, Testing, and Performance
• Web application quality, metrics, and measurement
• Web application evaluation, verification, and validation
• Testing automation, methods, and tools
• Performance modeling, monitoring, and evaluation
• Self-Adaptive and Resilient Web Systems
5. Architectures and Services
• Service-oriented Web application approaches
• Federated and cross-organizational Web applications
• Web of Things (WoT) and Cyber-Physical Web
• Web3 and Decentralized Web
• Blockchain-Based Web Applications
• Web application deployment
• Web APIs and Standardization Services
6. Cybersecurity, Zero Trust, and Resilience in Web Engineering
• Zero Trust & Secure Web Architectures
• Authentication, Authorization, and Identity Management
• Data Privacy and Protection
7. AI and Future Web Services and Engineering
• AI-Enhanced Web Mining
• AI-driven testing and continuous deployment
• Zero-Knowledge Machine Learning (zkML)
• Post-Quantum Web (Trust and encryption layer)
8. Governance
• AI Governance
• Data Governance
• Ethics, Bias, and Compliance
Original articles, survey articles, reviews, tutorials, perspectives, and general correspondence are all welcome. Appropriate submissions should address significant issues and problems, and potential solutions, and will be reviewed in accordance with peer review conventions.
