FuAET: a tool for developing fuzzy self-adaptive software systems
Qiliang Yang, Xianping Tao, Hongwei Xie, Jianchun Xing, Wei Song · 2014
Handling uncertainty in software self-adaptation has become an important and challenging issue. In our previous work, we proposed a fuzzy control based approach named Software Fuzzy Self-Adaptation (SFSA) to address fuzziness, a kind of uncertainty in software self-adaptation. However, our SFSA approach still lacks a tool to efficiently support the implementation process of SFSA. Existing tools for realizing self-adaptive applications does not directly deal with fuzziness in self-adaption loops. In this paper, we present the FuAET, a tool designed for building fuzzy self-adaptive software systems. The novelty of the tool is that it can not only provide a friendly GUI for editing and testing fuzzy self-adaptation strategies in intelligible domain specific language (DSL), but also automatically convert DSL-based fuzzy selfadaptation strategies into aspect-based programming code in native-language (NL), e.g., C++. This paper describes the design framework and implementation principles of FuAET, and then proposes a general development process using FuAET for reference to developers. Finally, we conduct an empirical study for evaluation of FuAET using an industrial control application. The results show that FuAET can automate the development of SFSA and ease the burden of the software engineers.