Sap Se

Successfactors, Inc.

Yuna Hou

Xia Yu

You Li

Fangling Liu

Jie Zhang

Yang Peng

Na Zhang

Jia Feng

Jia Wang

Xiang Fan

Ramana Krishna Bhagavatula

Kun Hu

Yijin Hu

Wenle Zhao

Rufeng Peng

Haiyang Xu

Various embodiments for deduplication of APIs using similarity measures and artificial intelligence are described herein. An embodiment operates by receiving a request to compare a first computing program to a second computing program, wherein each computing program includes an address, one or more tables accessed by a respective computing program, one or more input parameters, and one or more output parameters. Similarity measures are calculated between the addresses, tables, input parameters, and output parameters of the two computing programs. The similarity measures are provided to a trained artificial intelligence (AI) model, which generates a similarity determination. Performed an action based on the similarity determination.

Deduplication of computer programs using similarity measures and artificial intelligence

Methods, systems, and computer-readable storage media for receiving a key and a value of a data object, determining a first identifier and a second identifier based on the key, defining an entry object including the first identifier, the second identifier, and the value, and storing the entry object in a hashmap by: determining a first value of a first index based on the first identifier, determining a second value of a second index to provide a first value and second value pair that defines a first location within the hashmap storing the first identifier, determining a third value of a third index for the first value and second value pair, where the first value, the second value, and the third value define a second location within the hashmap storing the second identifier, and storing the value at a third location within the hashmap.

Low-memory and efficient hashmap

Disclosed herein is a framework for analyzing and determining the impact and importance of software code or method changes. In accordance with one aspect, invocations of methods are tracked by generating marking records. The marking records may be used to rebuild a call stack, which can be used to organize the methods to generate a calling dependency representation. The methods may then be ranked based on such calling dependency representation.

Method ranking based on code invocation

Growing community of inventors

Shanghai, China

Yuna Hou