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WebSite Quality measured by a user consists of many facets: Visual appeal, response time, quality of content, correctness of response, reliability, security, etc. This workshop investigates alternative routes to achieving WebSite Quality. Attendees will learn the state of the art in WebSite Quality approaches and technology and gain practical knowledge about website quality techniques and technology.
WORKSHOP OUTLINE:
- What is WebSite Quality
- WebSite Categories
- Complexity: Static, Passive, Collective, Interactive, Responsive
- Size
- Criticality
- Other Attributes
- Browser Dependencies
- Failure Modes
- Time
- Content
- Other
- Static Analysis/Testing
- HTML Checking
- Link Checking
- Content Checking
- Other
- Dynamic Analysis/Testing
- Validation Processes
- Text
- Images
- Dialogs
- Sequences
- Performance Timing
- Single and Multiple Download Timings
- Overall User-level Response Times
- Perceived User-level Response Times, Thresholds
- Load and Capacity Checking/Testing
- Load Imposition
- Load Measurement
- User Scenarios
- Realistic vs. Non-Realistic Experiments
- Client-Based vs. Server-Based Experiments
- Recommended Procedures & Discussion
Edward Miller is President of Software Research, Inc., San Francisco, California, where he has been involved with software test tools development and software engineering quality questions. Dr. Miller has worked in the software quality management field for over 25 years in a variety of capacities, and has been involved in the development of several families of automated software testing and analysis support tools.Dr. Miller has chaired the SR/Institute Quality Week Conferences (QW, in the San Francisco Bay Area in late May, and QWE, in Brussels, Belgium, in November) since their beginning. He was chairman of the 1985 1st International Conference on Computer Workstations, and has participated in IEEE conference organizing activities for many years. He is the author of Software Testing and Validation Techniques, an IEEE Computer Society Press tutorial text. Dr. Miller received his Ph.D. (Electrical Engineering) degree from the University of Maryland, an M.S. (Applied Mathematics) degree from the University of Colorado, and a BSEE from Iowa State University.