Tata Consultancy Services Limited

Venkata Rajan Mindigal Alasingara Bhattachar

Sachin Premsukh Lodha

Kumar Mansukhlal Vidhani

Vaibhav Harihar Agasti

Sanket Achal Sinha

State of the art code matching approaches have the disadvantage that they rely on the line numbers provided by source code and binary parsers to establish mapping and do not work since changes introduced by compiler may be much more complex. Some approaches do not work as the source code of application and its binary version may not share the vocabulary. Machine learning based techniques have the disadvantage that they require significant amount of training data, which may not be available in abundance. Method and system disclosed herein provide a mechanism matching score for each of a plurality of code fragments in the intermediate representation of the source code file for each of a plurality of binary fragments in the intermediate representation of the binary file.

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Bengaluru, India

Venkata Rajan Mindigal Alasingara Bhattachar