Inferring models with rule-based expert systems

William Durand, Sébastien Salva
2014 Proceedings of the Fifth Symposium on Information and Communication Technology - SoICT '14  
Many works related to software engineering rely upon formal models, e.g., to perform model-checking or automatic test case generation. Nonetheless, producing such models is usually tedious and error-prone. Model inference is a research field helping in producing models by generating partial models from documentation or execution traces (observed action sequences). This paper presents a new model generation method combining model inference and expert systems. It appears that an engineer is able
more » ... o recognise the functional behaviours of an application from its traces by applying deduction rules. We propose a framework, applied to Web applications, simulating this reasoning mechanism, with inference rules organised into layers. Each yields partial IOSTSs (Input Output Symbolic Transition Systems), which become more and more abstract and understandable.
doi:10.1145/2676585.2676615 dblp:conf/soict/DurandS14 fatcat:zvh4anvkozfildl4dnlqh7d6oq