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Behavioural models are a valuable tool for software verification, testing,monitoring, publishing etc. However, they are rarely provided by the softwaredevelopers and have to be extracted either from the source or from the compiledcode. In the context of Java programs, a number of approaches exist forbuilding behavioural models. Most of these approaches rely on the analysis ofthe compiled bytecode. Instead, we are looking to extract behavioural models inthe form of Finite State Machines (FSMs) from the Java source code to ensurethat the obtained FSMs can be easily understood by the software developers and,if necessary, updated or integrated into the original source code, e.g. in theform of annotations. Modern software systems are huge, rely on externallibraries and interact with their environment. Hence, extracting usefulbehavioural models requires abstraction. In this paper, we present an initialapproach to this problem by focusing on the extraction of FSMs modellinglibrary APIs. We focus on the analysis of Java code involving the use ofcollections. To this end, we encode the operational semantics of collectionoperations using patterns of Boolean predicates. These patterns areinstantiated based on the analysis of the source code of API implementationmethods to form an encoding of the possible FSM transitions. A SAT solver isthen used to determine the enabledness conditions (guards) of thesetransitions.

SAT-Based Extraction of Behavioural Models for Java Libraries with Collections