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ThinkMind // ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances // View article icsea_2021_2_20_10014


Reverse Engineering Models of Concurrent Communicating Systems From Event Logs

Authors:
Sébastien Salva

Keywords: Reverse engineering; Model learning; Event Log; Communicating systems.

Abstract:
This paper tackles the problem of extracting design and implementation informations from communicating systems made up of components concurrently interacting with each other, e.g., Web service compositions or IoT (Internet of Things) systems. We present a passive model learning approach, which recovers formal models from event logs, specifically one Input Output Labelled Transition System (IOLTS) for every component of the system under learning. From an event log, our approach is able to automatically recover conversations (a.k.a. sessions), without having any knowledge about the used event correlation mechanisms. It uses correlation pattern definitions and a heuristic based on the quality of the generated conversations to get the most relevant conversation sets. Then, our approach extracts the trace sets of every component and generates IOLTSs. The latter can be used as documentation, for test case generation, or for formal verification.

Pages: 37 to 42

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-894-5

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021

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