Reverse engineering concurrent UML state machines using black box testing and genetic programming

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@Article{journals/isse/Drusinsky17a,

• title = "Reverse engineering concurrent {UML} state machines using black box testing and genetic programming",
• author = "Doron Drusinsky",
• journal = "Innovations in Systems and Software Engineering",
• year = "2017",
• number = "2-3",
• volume = "13",
• pages = "117--128",
• keywords = "genetic algorithms, genetic programming, SBSE",
• bibdate = "2017-09-21",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/isse/isse13.html#Drusinsky17a",
• DOI = "doi:10.1007/s11334-017-0299-9",
• abstract = "This paper presents a technique for reverse engineering, a software system generated from a concurrent unified modelling language state machine implementation. In its first step, a primitive sequential finite-state machine (FSM) is deduced from a sequence of outputs emitted from black box tests applied to the systems input interface. Next, we provide an algorithmic technique for decomposing the sequential primitive FSM into a set of concurrent (orthogonal) primitive FSMs. Lastly, we show a genetic programming machine learning technique for discovering local variables, actions performed on local and non-binary output variables, and two types of intra-FSM loops, called counting-loops and while-loops.",

}

Genetic Programming entries for Doron Drusinsky

Citations