Experimental specification mining for enterprise applications

Abstract

Specification mining infers abstractions over a set of program execution traces. Whereas inductive approaches to specification mining rely on a given set of execution traces, experimental approaches systematically generate and execute test cases to infer rich models including uncommon and exceptional behavior. State-of-the-art experimental mining approaches infer low-level models representing the behavior of single classes. This paper proposes an approach for inferring models of built-in processes in enterprise systems based on systematic scenario test generation. The paper motivates the approach, sketches the relevant concepts and challenges, and discusses related work.