YAMI: Yet Another Model Inference tool

Xavier Devroey (Photographer)

Research output: Non-textual formSoftware

Abstract

Usage models (Discrete Time Markov Chain (DTMC)) represents the usage scenarios of the software as well as their probability. This allows one to determine the relative importance of execution scenarios (with respect to other). This project explores the possibility to reverse engineer usage models based on execution traces contained in application logs.
Original languageEnglish
Media of outputOnline
Publication statusPublished - Oct 2014

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Markov processes
Engineers

Keywords

  • Model inference
  • Statistical Testing

Cite this

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title = "YAMI: Yet Another Model Inference tool",
abstract = "Usage models (Discrete Time Markov Chain (DTMC)) represents the usage scenarios of the software as well as their probability. This allows one to determine the relative importance of execution scenarios (with respect to other). This project explores the possibility to reverse engineer usage models based on execution traces contained in application logs.",
keywords = "Model inference, Statistical Testing",
author = "Xavier Devroey",
year = "2014",
month = "10",
language = "English",

}

YAMI : Yet Another Model Inference tool. Devroey, Xavier (Photographer). 2014.

Research output: Non-textual formSoftware

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KW - Statistical Testing

M3 - Software

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