Microsoft Technology Licensing, LLC

Ghassan G Salloum

Deepak Kumar

Benjamin T Grover

Brian Anger

Gaurav Bhandari

Ashima Jain

Techniques for application quality testing time predictions are described that provide customized processing time predictions for application testing. Testing times for various stages of testing are collected during application testing. The collected testing data may be stored in association with various attribute values ascertained for the applications. The collected timing data is used to predict processing times for applications that match defined profiles. The profiles may be defined to include selected attributes and values used to identify applications having corresponding attributes and values. The collected timing data may be processed to derive predictions for processing times on a profile-by-profile basis. When a new application is submitted, the application is matched to a particular profile based on attribute values possessed by the application. Then, processing time predictions associated with the matching profile may be obtained, assigned to the application, and output for presentation to a developer of the application.

Application quality testing time predictions

In one embodiment, a digital asset testing systemmay test a digital assetbefore posting at a digital distribution store. A communication interfacemay receive a digital asset. A processormay execute testing of the digital asseton a testing virtual machineof a virtual machine set. The processormay execute testing of the digital assetsimultaneous with testing executed on each virtual machineof the virtual machine set. The processormay delay testing of the digital asseton the testing virtual machineif a testing virtual machine configurationis stale.

Optimizing system usage when running quality tests in a virtual machine environment

An application for which approval is requested is identified and multiple automated tests are applied to the application in groups of automated tests. Each of the groups of automated tests includes multiple ones of the multiple automated tests. If one or more automated tests in a group of automated tests returns an inconclusive result, then a manual check is initiated for the application based on the one or more automated tests that returned the inconclusive result. If one or more automated tests in a group, or a manual test applied in the manual check, returns a fail result then an indication that the application is rejected is returned, the indication that the application is rejected including an identification of why the application is rejected. If none of the multiple automated tests returns a fail result, then a manual testing phase is initiated.

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Ghassan G Salloum