Abstract: This disclosure relates to method and system for identifying suspicious code contribution of a user to a source code repository. The method includes receiving a plurality of updated code files of a source code repository from a user through an event. The method further includes extracting a plurality of user action parameters from the event corresponding to each of the plurality of updated code files. The method further includes storing the plurality of updated code files and the plurality of user action parameters from the event corresponding to each of the plurality of updated code files in a database. The method further includes identifying at least one of the set of user actions as a suspicious code contribution of the user for at least one of the plurality of updated code files of the source code based on the plurality of user action parameters.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: generating an onboarding document specifying an interaction event based on a document specifying the interaction event and an implementation guide between a pair of partners. The interaction event is cognitively analyzed for accuracy and the implementation guide is updated based on reinforced machine learning for optimized onboarding of following interactions.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: generating an onboarding document specifying an interaction event based on a document specifying the interaction event and an implementation guide between a pair of partners. The interaction event is cognitively analyzed for accuracy and the implementation guide is updated based on reinforced machine learning for optimized onboarding of following interactions.