Microsoft Technology Licensing, LLC

Mario A Rodriguez

Gal Tamir

Elad Iwanir

Chen Lahav

Craig Allen Harry

Chandru Ramakrishnan

Tan Phan

Jim Presto

Methods for intelligent automatic merging of source control queue items are performed by systems and apparatuses. Project changes are submitted in build requests to a gated check-in build queue requiring successful builds to commit changes to a code repository according to source control. Multiple pending build requests in the build queue are intelligently and automatically merged into a single, pending merged request based on risk factor values associated with the build requests. For merged requests successfully built, files in the build requests are committed and the build requests are removed from the queue. Merged requests unsuccessfully built are divided into equal subsets based on updated risk factor values using information from the unsuccessful build. Successful builds of subsets allow for committing of files and removal from the build queue, while unsuccessful builds are further divided and processed until single build requests are processed to identify root cause errors.

Intelligent automatic merging of source control queue items

A data set may be represented as a hierarchical node set, comprising interrelated nodes that respectively include various data features (e.g., versions in a version-controlled software architecture.) Queries may be formulated regarding the inclusion of a particular feature in the nodes of the hierarchical data set ('does this node include this data feature?' and 'what is the path of the data feature through the node set?') Such queries may be evaluated by identifying a source node that includes the data feature, identifying candidate merge paths from the source node to the taget node, and determining whether the nodes of any candidate merge path include the data feature. The results may be presented to the user, e.g., as a visual layout of the portion of the hierarchical node set that includes the data feature or a timeline of nodes illustrating the path of the data feature over time.

Data feature tracking through hierarchical node sets

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Mario A Rodriguez