Accenture Global Solutions Limited

United Software Associates, Inc.

Sandeep Bhat

Rohit Shrikant Patwardhan

Rahul Ghanashyam Joglekar

Methods, systems, and apparatuses, including computer programs encoded on computer-storage media, for prioritizing test cases. Processes may include obtaining test artifacts that were generated based on testing one or more legacy versions of a software application using multiple test cases, generating a risk index based at least on the test artifacts that were generated based on testing the one or more legacy versions of the software application using the multiple test cases, and training an ensemble model that is configured to identify likely unnecessary or redundant test cases in connection with in testing an updated version of the software application, based at least on the risk index.

Test case optimization and prioritization

Techniques are described for generating prediction metrics that describe one or more predicted characteristics and/or outcomes of a software development project. Implementations employ machine learning (ML) algorithms to develop prediction models to predict characteristics of a project. For example, the models can be employed to predict a number of defects that may be present in a software product that is produced by a software development project. A model can be trained using input data captured from previous software projects, such as data describing the feature set of a software product, the timeline for its development, the particular type or domain of software, a number of modules, functions, etc., the particular number and/or identity of personnel working on the project, and so forth. Such input data can be analyzed to extract features that are provided as training data to train a model that is used to predict project metrics.

Learning based metrics prediction for software development

A enterprise security management (ESM) system having a web-based platform for authorizing and monitoring visitors of a secure facility and for further providing a time-stamping process for noting the time of arrival and departure of the visitors and for alerting authorities when the duration of stay of a visitor has exceeded the predetermined time for visiting allotted the visitor.

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Pleasanton, CA, United States of America

Sandeep Bhat