Evolvability is essential to adapting to the dynamic and changing requirements in response to the feedback from context awareness systems. However, most of current context models have limited capability in exploring human intentions that often drive system evolution. To support service requirements analysis of real-world applications in distributed service environments, this paper focuses on human-intention driven software evolvability. In our approach, requirements analysis via an evolution cycle provides the means of speculating requirement changes, predicting possible new generations of system behaviors, and assessing the corresponding quality impacts. Furthermore, we also discuss evolvability metrics by observing intentions from user contexts.
['Hua Ming', 'Katsunori Oyama', 'Carl K. Chang']
Human-Intention Driven Self Adaptive Software Evolvability in Distributed Service Environments