Sap Se

Prakash Kumar

Ashish Anand

Ashish Kumar Jain

Ravikanth Malipeddu

Suneet Agarwal

Santhosh Reddy Mereddy

Sushanth B R

Prabhat Kumar Singh

Anoop Tharur Lingegowda

Rishabh Sawa

Maruthi Srinivas Singamsetty

Nitin Dileepkumar

Karthikeyan V

Rohit Chaudhary

Kishan Bhaskar Nagaraj

Ravi Kanth Malipeddu

Praveen Jha

Ayush Raj

Reshma R Varma

Muhammed Bilal A

Techniques and solutions are provided for increasing the energy efficiency of computing code. Many computing operations can be implemented in a number of different ways. While the end result of each implementation may be the same, the energy efficiency of the implementations can vary dramatically. Disclosed techniques provide rules that can be used to analyze code for a particular implementation of an operation. If a rule is triggered, a recommendation to replace the implementation with a more energy efficient implementation can be provided, or the code can automatically be changed to include the more energy efficient implementation. Techniques for defining rules are also provided, such as by measuring or estimating energy used by various ways of implementing an operation. Measurement or estimation of energy used during code execution can be performed in a containerized environment, such as to provide improved accuracy, and allow for parallelization.

Code energy efficiency

Disclosed herein are system, method, and computer program product embodiments for implementing failure classification and recommendation delivery. An embodiment operates by receiving, by a failure classification and recommendation system, a plurality of conditions and patterns for a plurality of failures associated with one or more applications/functions automated executions using various tools and receiving one or more recommendations for each one of the plurality of failures. The embodiment further includes storing the plurality of conditions and patterns and the one or more recommendations for each one of the plurality of failures. This embodiment can further include receiving a report from a first tool indicating a failure associated with one or more applications/functions automated executions using the first tool and determining a recommendation based on the received report. A response is sent, by the failure classification and recommendation system, the first tool, where the response includes the recommendation to rectify the failure.

Failure analysis and recommendation service for automated executions

Various embodiments for providing a user interface test and validation system are described herein. An embodiment operates by determining user interface (UI) settings and metadata, and fetching data corresponding to the metadata. A plurality of test procedures corresponding to the UI element are identified. A plurality of states to be present in a rendering of the UI element based on the plurality of test procedures, the metadata, and the data are identified. A rendering of the UI element is validated against the plurality of states. A test report is provided based on the validating.

Metadata driven user interface test and validation system

Systems, methods, and products, are described herein for self-curative computer process automates. Execution of an automate for testing of an application is initiated. The application includes a plurality of user interface elements, each user interface element having a plurality of properties. A change to a user interface element of the plurality of user interface elements during the execution of the automate is identified based on a change to at least one property of the plurality of properties associated with the user interface element. A modification to the plurality of properties associated with the user interface element is generated based on a ranking of the plurality of user interface elements, the generated modification curing the change to the at least one property. The generated modification is caused to display on a graphical user interface for further acceptance of the generated modification to the automate.

Self-curative computer process automates

Upgrade is provided to a cloud application in a cloud environment of a customer. A task list for an upgrade testing for the cloud application is automatically triggered at a test cloud infrastructure. Execution processes of the cloud application are listed. Available test scripts for the processes are defined. Iterations over the test scripts are performed to determine relationships between scripts and processes. The iterations over the test scripts may be executed by a data mapping logic. For a process from the list, a corresponding test script and relevant data for the test script from a database of the cloud application are determined. The relevant data and actions from the test script are mapped. A test data variant is generated for execution based on the relevant data and actions of the test script. The test results are collected and analyzed.

Custom upgrade testing system

Growing community of inventors

Bengaluru, India

Prakash Kumar