MACHINE LEARNING TO EMULATE SOFTWARE APPLICATIONS

MACHINE LEARNING TO EMULATE SOFTWARE APPLICATIONS

Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log templates. A classifier is traine...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Ahn, Jae-Wook, Calo, Seraphin Bernard, Roth, Tova, Kak, Anshu, Waite, Steven A, Hollander, Roger, Desai, Nirmit V, Verma, Dinesh C, Freimuth, Douglas M
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log templates. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and particular semantic state of the original application.