UTILIZING ARTIFICIAL INTELLIGENCE TO IMPROVE PRODUCTIVITY OF SOFTWARE DEVELOPMENT AND INFORMATION TECHNOLOGY OPERATIONS (DEVOPS)

A device may receive data associated with a software development platform, and may correlate the data to generate correlated data. The device may train a first model, with the correlated data, to generate a software impact analyzer model, and may train a second model, with the correlated data, to ge...

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Bibliographische Detailangaben
Hauptverfasser:	VIJAYARAGHAVAN, Koushik M, SINGATALUR, Sanjay, KULKARNI, Aditi, JAYARAMAN, Sundar Prasad, PURUSHOTHAM, Divya R, SRINIVAS HEGDE, Vijeth, NAGARAJU, Suhas, PERVODY BHAT, Amrutha, KA, Smitha, PRASAD, Rajendra T, KABBINALE, Ravindra
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	A device may receive data associated with a software development platform, and may correlate the data to generate correlated data. The device may train a first model, with the correlated data, to generate a software impact analyzer model, and may train a second model, with the correlated data, to generate a software development behavior model. The device may receive data identifying a new software requirement associated with the software development platform, and may process the data identifying the new software requirement, with the software impact analyzer model, to identify a file or a module impacted by the new software requirement. The device may process data identifying the file or the module, with the software development behavior model, to identify a developer to handle the new software requirement, and may perform one or more actions based on the data identifying the file or the module and data identifying the developer.