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Journal of Web Engineering & Technology- Product Image
Journal of Web Engineering & Technology- Product Image

Journal of Web Engineering & Technology

  • ID: 3050902
  • Journal
  • September 2021
  • Region: Global
  • 56 pages
  • STM Journals
Journal of Web Engineering & Technology (JoWET): Journal of web Engineering & Technology is a refereed journal providing a forum and an authoritative source of information in web engineering and web technology field. It is devoted to analysis, design, development, use, evaluation & teaching of web based systems, application, sites and technologies based research.

Focus and Scope Covers

- Systems analysis and design
- Hypermedia/hypertext engineering
- Web engineering tools & methods
- Modeling and model-based design and development
- Navigation and hypermedia
- Web design patterns and pattern mining
- Web application evaluation, verification and validation
- Web engineering for wireless platforms
- Web standards, usability, universal accessibility, semantic web
- Specification languages, management, negotiation and monitoring mechanisms.
- Microsoft .NET, Sun One, IBM web sphere, oracle internet application Server.
- Mobile web services, service-based approaches
- Performance monitoring, evaluation metrics
- Application frameworks/architectures, processes, methodologies & testing

All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.

This Journal is updated 3 times a year, in May, September and December.
Note: Product cover images may vary from those shown
Google’s Project Loon Shubham Kumar, Vishal Sharma, Shubham Chhabra, Toshar Namosat

Impact on Wormhole Attack Using Label Based DV- Hop Localization in Wireless Sensor Networks Nithyashree S., Karthik S

Online Learning Algorithm for Multi-Kernel Balancing of Computational Work Load Ankush Rai
Note: Product cover images may vary from those shown