IDENTIFYING PATTERNS OF A SET OF SOFTWARE APPLICATIONS

A mechanism is provided for identifying patterns of a set of software applications instances from their documents. The computer-implemented method begins with constructing different attribute vector types using a knowledge ontology. The knowledge ontology captures semantics based on keywords associa...

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Bibliographische Detailangaben
Hauptverfasser:	SARKAR Soumitra, DENG Yu, MAHINDRU Ruchi, RAMASAMY Harigovind Venkatraj, KOFKIN-HANSEN Simon J, MOSS Christopher, IONESCU Theodor Razvan, WANG Long, SMITH Richard Christopher
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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Beschreibung
Zusammenfassung:	A mechanism is provided for identifying patterns of a set of software applications instances from their documents. The computer-implemented method begins with constructing different attribute vector types using a knowledge ontology. The knowledge ontology captures semantics based on keywords associated with resource attributes derived from one or more documents related to at least a portion of these software application instances. A knowledge base is built from the attribute vector types and the documents of these application instances. These are merged into the knowledge base with the knowledge base previously built from previous software application instances. Analytics are performed on the knowledge base to identify at least one of common patterns of deployments, configurations, or other attribute vector types, or a combination thereof.