Accenture Global Services Gmbh

Annervaz Km

Vikrant Shyamkant Kaulgud

Shubhashis Sengupta

Sanjoy Paul

Amitabh Saxena

Vibhor Aggarwal

Vikarant Shyamkant Kaulgud

According to an example, source code flow analysis may include receiving source code for an application, and identifying virtual flow documents for the application from the source code. The virtual flow documents may represent ordered sequences of method calls for the application. The source code flow analysis may further include extracting features of the virtual flow documents, determining similarity between the virtual flow documents by estimating similarities for the extracted features to determine a flow-to-flow similarity, and clustering the virtual flow documents based on the flow-to-flow similarity. The flow-to-flow similarity may be further used, for example, to generate highest priority virtual flow documents and methods for the source code. The source code flow analysis may also include determination of flow-to-maintenance activity description (MAD) similarity, for example, to identify relevant virtual flow documents from the virtual flow documents based on the flow-to-MAD similarity to generate ordered relevant virtual flow documents.

Source code flow analysis using information retrieval

A data shuffling and encryption system may include data storage to store a key and a coding module to shuffle and encrypt an input data sequence. The shuffling and encrypting may include determining an n-dimensional space and populating the n-dimensional space with the input data sequence. A quasi-random function may be applied to sample the n-dimensional space, and samples may be used as an index into the n-dimensional space to determine an output data sequence from the n-dimensional space.

Configurable key-based data shuffling and encryption

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Bengaluru, India

Annervaz Km