YAMI: Yet Another Model Inference tool

Xavier Devroey

YAMI: Yet Another Model Inference tool

Résultats de recherche: Forme non textuelle › Logiciel

Résumé

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.

langue originale	Anglais
Médias de la production	En ligne
Etat de la publication	Publié - oct. 2014

Accès au document

https://github.com/xdevroey/yami

1 Terminé

Thesis-X-Devroey: Behavioural Model Based Testing of Software Product Lines
Devroey, X., HEYMANS, P., SCHOBBENS, P. & PERROUIN, G.
1/09/11 → 30/08/17
Projet: Projet de thèse

VIBeS Case Studies: Featured Transition Systems and Feature Models
Devroey, X. (Créateur), University of Namur, oct. 2020
DOI: 10.5281/zenodo.4105899
Ensemble de données

Contient cette citation

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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.",

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year = "2014",

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language = "English",

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T2 - Yet Another Model Inference tool

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KW - Model inference

KW - Statistical Testing

M3 - Software

ER -

YAMI: Yet Another Model Inference tool

Résumé

Accès au document

Empreinte digitale

Projets

Thesis-X-Devroey: Behavioural Model Based Testing of Software Product Lines

Ensembles de données

VIBeS Case Studies: Featured Transition Systems and Feature Models

Contient cette citation