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...
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| creator | Ahn, Jae-Wook Calo, Seraphin Bernard Roth, Tova Kak, Anshu Waite, Steven A Hollander, Roger Desai, Nirmit V Verma, Dinesh C Freimuth, Douglas M |
| description | 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. |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | MACHINE LEARNING TO EMULATE SOFTWARE APPLICATIONS |
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