System and method to orchestrate secure source code development in distributed programing environment using programmer telemetry and developer behavior-focus based test suite selection

A computer program product for code development in distributed programing environment using programmer telemetry and developer behavior-focus based test suite selection, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• capture telemetry data from a developer interaction within an integrated development environment (IDE), the telemetry data comprising metrics including code suggestions, refactoring actions, and error-handling recommendations;
• preprocess and log the telemetry data in a format for further analysis by filtering noise from the telemetry data, normalizing the telemetry data, and organizing the telemetry data into a format suitable for analysis;
• analyze preprocessed data to discern developer behavior and focus levels via utilizing machine learning models and contextual insights related to a developer coding history;
• generate a focus score based on analysis, the focus score quantifying an adherence to coding standards and security protocols;
• select one or more test suites from a repository based on the focus score, wherein the one or more test suites are prioritized according to relevance to the developer current coding patterns and potential vulnerabilities;
• customize the one or more test suites by allowing modifications to test parameters addressing specific aspects of the code being developed;
• execute the one or more test suites and recording outcomes to generate test results;
• and
• provide feedback to the developer based on the test results, the feedback comprising recommendations for further code adjustments and triggering refinements in future test suite selections.

A method for code development in distributed programing environment using programmer telemetry and developer behavior-focus based test suite selection, the method comprising:

• capturing telemetry data from a developer interaction within an integrated development environment (IDE), the telemetry data comprising metrics including code suggestions, refactoring actions, and error-handling recommendations;
• preprocessing and logging the telemetry data in a format for further analysis by filtering noise from the telemetry data, normalizing the telemetry data, and organizing the telemetry data into a format suitable for analysis;
• analyzing preprocessed data to discern developer behavior and focus levels via utilizing machine learning models and contextual insights related to a developer coding history;
• generating a focus score based on analysis, the focus score quantifying an adherence to coding standards and security protocols;
• selecting one or more test suites from a repository based on the focus score, wherein the one or more test suites are prioritized according to relevance to the developer current coding patterns and potential vulnerabilities;
• customizing the one or more test suites by allowing modifications to test parameters addressing specific aspects of the code being developed;
• executing the one or more test suites and recording outcomes to generate test results;
• and
• providing feedback to the developer based on the test results, the feedback comprising recommendations for further code adjustments and triggering refinements in future test suite selections.