Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for grouping behaviors based on behavior signatures. Event data gathered for an autonomous vehicle (AV) test is accessed. A signature for the AV behavior is identified from the event data. The signature is defined by features occurring during the AV behavior. The signature for the AV behavior is compared to signatures of one or more other AV behaviors. AV behaviors, including the AV behavior, are grouped together from a comparison of corresponding signatures across the plurality of AV behaviors.

Abstract: Aspects of the disclosed technology provide solutions for identifying autonomous vehicle (AV) tests that provide a desired level of test coverage for testing or validating the AV software stack. A process of the disclosed technology can include steps for extracting a first set of features associated with a first set of test programs, tagging each respective test program with metadata tags, and identifying a second set of features associated with an updated set of AV program code. In some aspects, the process may further include steps for determining if the one or more tags match one or more features of the second set of features associated with the updated AV program code, and executing the respective test programs based on the one or more tags. Systems and machine-readable media are also provided.

Abstract: Sustainability measurement is critical to determine whether industry performance is heading in intended direction. State of the art systems in the field of sustainability measurement fail to consider many parameters which are indicative of the sustainability of industries. The disclosure herein generally relates to industry monitoring, and, more particularly, to a method and system for sustainability measurement in an industrial environment. The system calculates similarity score which indicates similarity between different sentences and indicators, and used the calculated similarity scores and extracted features to classify the sentences as belonging to specific classes. This information is in turn used for measuring sustainability of organization from which input data have been collected.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for diagnosing faults in a software stack by running a subset of processes of the software stack. An existence of a fault associated with running a software stack is determined. The software stack includes a plurality of dependent processes. An incrementing larger subset of the software stack is run according to one or more error thresholds associated with executing corresponding dependent processes in the incrementing larger subset. The incrementing larger subset includes an increasing number of processes of the plurality of dependent processes. One or more sources of the fault are diagnosed based on the running of the incrementing larger subset of the software stack.