Recommendations for custom software upgrade by cognitive technologies
Abstract:
In creating recommendations for software upgrades in a computing system, a natural language processing module of a software upgrade analyzer system receives risk analysis reports and a corresponding current application source code. The natural language processing module processes the risk analysis report and the current application source code to identify an application programming interface (API) key set containing key terms. A support vector machine of the software upgrade analyzer system identifies key terms in the API key set. An association rule mining module of the software upgrade analyzer system calculates a support factor and a confidence factor for each key term combination of the key terms. The association rule mining module identifies a highest ranking key term combination based on the confidence factor for each key term combination. The software upgrade analyzer system outputs the highest ranking key term combination as a software upgrade recommendation.
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