Reverse engineering models of software interfaces
نویسندگان
چکیده
Cyber-physical systems consist of many hardware and software components. Over the lifetime these their components are often replaced or updated. To avoid integration problems, formal specifications component interface behavior crucial. Such a specification captures not only set provided operations but also order using them constraints on timing behavior. Usually expressed in terms state machine. For new such can be derived from requirements. However, for legacy descriptions usually available. So they have to reverse engineered existing event logs source code. This costs lot time does scale very well. improve efficiency this process, we present passive learning technique models inspired by process mining techniques. The approach is based representing causal relations between events an log information as timed-causal graph. graph further processed eventually transformed into machine constraints. Compared other approaches literature which focus general problem inferring state-based behavior, exploit patterns client-server interactions logs.
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ژورنال
عنوان ژورنال: Computer Science and Information Systems
سال: 2021
ISSN: ['1820-0214', '2406-1018']
DOI: https://doi.org/10.2298/csis200131013b