Abstract: A processor may receive profile data associated with a user. The processor may identify, from the profile data, a degree of proficiency of the user. The degree of proficiency may indicate an ability of the user to relay specific information to a second user. The processor may designate the degree of proficiency as a first level. The processor may generate a proposal to increase the first level to a second level. The increase may indicate an increase in the degree of proficiency. The processor may display the proposal to the user.

Abstract: In an approach to targeted notification, a computing device receives a user input comprising a notification for publication. The computing device receives a user input defining a recipient list. The computing device generates a recipient list based on the user input defining the recipient list, wherein the recipient list comprises one or more of all first level contacts, all members of a community, a defined subset of first level contacts, and a defined subset of members of the community. The computing device publishes the notification to one or more recipients based on the refined recipient list.

Abstract: In an approach to targeted notification, a computing device receives a user input comprising a notification for publication. The computing device receives a user input defining a recipient list. The computing device generates a recipient list based on the user input defining the recipient list, wherein the recipient list comprises one or more of all first level contacts, all members of a community, a defined subset of first level contacts, and a defined subset of members of the community. The computing device publishes the notification to one or more recipients based on the refined recipient list.

Abstract: A method, a computer program product, and a computer system for automating calculation of a comprehensibility score for a software program. An analytics engine on a computer matches tokens of the software program with a language dictionary, a domain specific vocabulary, and a language grammar. The analytics engine determines a comprehensibility score for the software program, based on matching tokens. The analytics engine provides the comprehensibility score to a reviewer evaluating the software program.