18077679. TEST COVERAGE DETERMINATION BASED ON LOG FILES simplified abstract (International Business Machines Corporation)

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TEST COVERAGE DETERMINATION BASED ON LOG FILES

Organization Name

International Business Machines Corporation

Inventor(s)

Jing Yan ZZ Zhang of BEIJING (CN)

Chu Yun Tong of BEIJING (CN)

Wan Feng of BEIJING (CN)

Wen Wen Guo of BEIJING (CN)

Miao Liu of BEIJING (CN)

Bing Qian of BEIJING (CN)

TEST COVERAGE DETERMINATION BASED ON LOG FILES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18077679 titled 'TEST COVERAGE DETERMINATION BASED ON LOG FILES

Abstract: An example operation may include one or more of storing log files via a data store, comparing a test log file from the data store which is generated from tests performed on source code in a test environment to a productive log file from the data store that is generated by executing the source code in a productive environment, identifying one or more components of the source code that are not covered by the tests based on the comparison, and generating a visualization which includes identifiers of the one or more components that are not covered by the tests and display the visualization via a user interface.

  • Simplified Explanation: The patent application describes a process that involves storing log files, comparing test log files, identifying uncovered components in source code, and generating a visualization for user interface display.
  • Key Features and Innovation:

- Storing log files in a data store - Comparing test log files from different environments - Identifying components of source code not covered by tests - Generating a visualization for user interface display

  • Potential Applications:

- Software development and testing - Quality assurance in code coverage - Debugging and error detection in source code

  • Problems Solved:

- Lack of visibility into test coverage - Difficulty in identifying uncovered components in source code - Inefficient debugging processes

  • Benefits:

- Improved code coverage analysis - Enhanced debugging capabilities - Streamlined software development workflows

  • Commercial Applications:

- Software development tools and platforms - Quality assurance software solutions - Code analysis and visualization services

  • Prior Art: Researchers in the field of software testing and code coverage analysis have explored similar techniques for identifying uncovered components in source code.
  • Frequently Updated Research: Ongoing research in software testing methodologies and code coverage analysis may provide additional insights into improving the efficiency of the described process.

Questions about the technology: 1. How does the visualization aid in identifying uncovered components in the source code? 2. What are the potential implications of using this technology in large-scale software development projects?


Original Abstract Submitted

An example operation may include one or more of storing log files via a data store, comparing a test log file from the data store which is generated from tests performed on source code in a test environment to a productive log file from the data store that is generated by executing the source code in a productive environment, identifying one or more components of the source code that are not covered by the tests based on the comparison, and generating a visualization which includes identifiers of the one or more components that are not covered by the tests and display the visualization via a user interface.