Accenture Global Services Gmbh

Accenture Global Solutions Limited

Chethana Dinakar

Vibhu Saujanya Sharma

Venkatesh K Subramanian

Vikrant Shyamkant Kaulgud

Shubhashis Sengupta

Aravindan Thoppe Santharam

Satish Nagasamudram

Sanjay Podder

Kapil Singi

Amitabh Saxena

Manisha Sriraman

Namrata Maheshwary

Venkatesh Subramanian

According to examples, development and production data based application evolution may include ascertaining a goal, development data, and production data for a specified release of an application. Development and production data based application evolution may further include determining, from the development data, a feature, a use-case associated with the feature, and a plurality of tasks associated with the use-case. Further, development and production data based application evolution may include determining, from the production data, production log data and user feedback, determining, from the production log data and the user feedback data, criteria, ascertaining, a weightage for each criterion of the criteria, and determining, based on the weightage, a task priority for each task of the plurality of tasks to be applied to a different release of the application.

Development and production data based application evolution

Various embodiments provide an assessment tool that enables an automated functional assessment of applications for migration to target cloud computing platforms, such as a Platform as a Service (PaaS). The technical capabilities of various types of applications in a traditional non-platform deployment are studied and support for these technical capabilities is evaluated relative to the target platform.

Migration assessment for cloud computing platforms

Workflow test case generation may include receiving an intermediate output of a workflow. The intermediate output of the workflow may reference a plurality of workflow building blocks that provide a specified functionality at each step of the workflow. Workflow definitions of the intermediate output of the workflow may be analyzed to generate a graph structure that represents the workflow. Building block attributes that include an identification of attributes for the plurality of workflow building blocks, and the graph structure may be analyzed to generate building block and attribute information for the workflow. The building block and attribute information and the graph structure may be analyzed to generate test paths for the workflow. The building block and attribute information, the test paths, and a plurality of test case templates may be analyzed to generate test artifacts that include testing to be performed for the workflow.

Workflow test case generation

Growing community of inventors

Bengaluru, India

Chethana Dinakar