Amazon Technologies, Inc.

Antonio Filieri

Lee Pike

Aritra Sengupta

Nicolas Leandro Rosner

Martin Schaef

Linghui Luo

Thomas L J Cottenier

A partitioning technique is applied to divide input code into different portions. Different partitioning techniques can be applied in order to optimize the portioning of the code to account for various features of the code, such as code dependencies. Once partitioned, the code analysis tasks execute in parallel on the code portions. In this way, improved code analysis performance is obtained. Moreover, the addition of new code analysis tasks may not impact overall analysis performance as the partitioning can help to offset added or unknown analysis latency of new code analysis tasks.

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Sunnyvale, CA, United States of America

Antonio Filieri