Bank of America Corporation

Chandrashekhar Radhakrishnan

Vignesh Chandrasekaran

Samson Paulraj

Mudit Chawla

Mahendran Vella Pandian

Jyothi Lloyd Leslie

A system for robotic process automation enabled file dissection for error diagnosis and correction is provided. The system comprises a memory device; a communication device in communication with a network; and a processing device operatively coupled to the memory device and the communication device, wherein the processing device is configured to: detect an operation executed by the user in an application on a user device; based on detecting the operation executed by the user, reproduce, using a robotic process automation module, the operation in parallel with execution of the operation by the user to generate a simulated operation; and store the simulated first operation in a user operation record.

Robotic process automation enabled file dissection for error diagnosis and correction

Embodiments of the invention are directed to providing a robotic process automation enabled file diagnosis and correction. The invention leverages the unique interactions of a robotic process automation module with a user interface of an application to simulate user operations with the user device to generate an operation record for automatically generating and transmitting a diagnosis and correction request to a workstation. The robotic automation module may execute simulated user operations in parallel with the operations of the user to be able to provide a detailed record of the user's operational steps should an error occur such as a program crash, file corruption, or the like.

A software defect detection tool determines a modification in a software code at a first time and analyzes an execution of the software code to detect a performance issue at a second time. The software defect detection tool detects a defect in the software code by a comparison of the first time and a second time. A software defect analysis tool generates a cause/category combination for a software code defect. The software defect analysis tool determines whether the cause/category combination is an approved combination and whether the software code defect is a false positive. The software defect analysis tool generates a corrective action plan indicating measures to implement to reduce software defects.

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Hyderabad Telangana, India

Chandrashekhar Radhakrishnan