The objective of the NIST Web Metrics Testbed is to explore the feasibility of a range of tools and techniques that support rapid, remote, and automated testing and evaluation of website usability. There are currently six components: 1. Web Static Analyzer Tool (WebSAT): checks web page HTML against typical usability guidelines. 2. Web Category Analysis Tool (WebCAT): lets the usability engineer construct and conduct a web category analysis (card-sorting). 3. Web Variable Instrumenter Program (WebVIP): instruments a website to capture a log of user interaction. 4. Framework for Logging Usability Data (FLUD): a file format and parser for representation of user interaction logs (such as those captured by WebVIP). 5. VisVIP Tool: produces a 3D visualization of user navigation paths through a website, based on FLUD data. 6. TreeDec: adds navigation aids to the pages of a website.
JWAA is a software framework for building dynamic Web applications as networks of first-class Java objects. XML is used for representing information normally coded as HTML. The XML files are automatically reloaded when they change. It has a "persistent forms" feature in which form data automatically persists in the database such that fields behave like pieces of paper that automatically preserve what's written on them. This default behavior is easily overridden. Invalid links are reported at XML load time via the browser, and are also recorded in log files.
LON-CAPA (The LearningOnline Network with CAPA) is a learning content and course management system. It offers an underlying shared content pool from which instructors across departmental and institutional boundaries can assemble granular learning content for their courses. It has strong assessment capabilities, both formative (homework and in-class using wireless PDAs) and summative (online and bubblesheet exams), with a one-source multiple-target strategy for the content. It offers students portfolio space in which they can stage materials for submission to projects, and provides a number of tools for synchronous and asynchronous student-student and student-faculty communication. LON-CAPA scales well with number of students, as load-balancing is possible across the whole network of servers at participating institutions.