AmITest: A Testing Framework for Ambient Intelligence Learning Applications

摘要

As the Ambient Intelligence (AmI) paradigm emerges and develops, applications in education are attracting increasing attention. For maximum educational efficiency, extensiveness and adaptation to the needs of their users, AmI systems in education need to be easily programmable. Considering that their users are primarily non-computer professionals, giving them the ability to program those environments is a task difficult by itself, as those environments are of high architectural and computational complexity. In addition, it is of high importance that those environments work as expected, making the testing and the validation of their behavioral aspects a crucial part of the development process. In this paper, we propose AmITest, a framework that effectively allows the testing and the validation of behavioral programs written by users in a simple, yet direct and effective way. AmITest is part of a complete end-user development suite named AmIClass, which allows the effective programming of AmI educational environments by non-computer professionals.