Microsoft Technology Licensing, LLC

Marina Polishchuk

Patrice Godefroid

Marc Greisen

William Blum

Cheick Omar Keita

Bo-Yuan Huang

Stanislav Tishkin

Evangelos Atlidakis

Senthil Kumaran Chandran

Improved techniques for testing an application to identify bugs. An API request body, which includes input data, is transmitted to a service to exercise the service. An error type response is received from the service, where the response indicates how the service handled the input data. The response is then used to determine an error type response coverage of the service. The coverage is then expanded by repeatedly performing a number of operations until a threshold metric is satisfied. For instance, in response to learning how previously-used input data impacted the coverage, new input data is generated. This new input data is designed to trigger new types of responses from the service. The new input is sent to the service, and a new error type response is received. These processes are repeated in an effort to expand the error type response coverage of the remote service.

Intelligently fuzzing data to exercise a service

In a method for automatically testing a service via a programming interface of the service includes, a set of operation descriptions describing a set of operations supported by the service is obtained. The set of operation descriptions includes respective descriptions of requests associated with respective operations in the set of operations and responses expected in response to the requests. Based on the set of operation descriptions, dependencies among the requests associated with the respective operations are determined, and a set of test request sequences that satisfy the determined dependencies is generated. Test request sequences in the set of test request sequences are executed to test the service via the programming interface of the service.

Automatic intelligent cloud service testing tool

A user interface (UI) may be used to introduce a message into the cloud computing network. The message may be received by a service associated with the cloud computing network. The message may trigger the service to generate data in response to receiving the message. The generated data may include temporal data that includes the date and time data specifying when the message was received by the service. The generated temporal data may be forwarded to a telemetry store associated with the cloud computing network. A user or report generating operator portal may generate a report that includes the generated temporal data. The generated report may be used to determine if the service associated with the cloud computing network is functioning properly.

Cloud computing network inspection techniques

Growing community of inventors

Seattle, WA, United States of America

Marina Polishchuk