Formalizing UML state machines for automated verification: A survey

• Main Authors: ETIENE, Andre, LIU, Shuang, LIU, Yang, CHOPPY, Christine, SUN, Jun, DONG, Jinsong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: UML; semantics; formal specification; formal verification; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/7814
• Institution: Singapore Management University

The Unified Modeling Language (UML) is a standard for modeling dynamic systems. UML behavioral state machines are used for modeling the dynamic behavior of object-oriented designs. The UML specification, maintained by the Object Management Group (OMG), is documented in natural language (in contrast to formal language). The inherent ambiguity of natural languages may introduce inconsistencies in the resulting state machine model. Formalizing UML state machine specification aims at solving the ambiguity problem and at providing a uniform view to software designers and developers. Such a formalization also aims at providing a foundation for automatic verification of UML state machine models, which can help to find software design vulnerabilities at an early stage and reduce the development cost. We provide here a comprehensive survey of existing work from 1997 to 2021 related to formalizing UML state machine semantics for the purpose of conducting model checking at the design stage.