Adaptive dynamic code analysis

A system for adaptive dynamic code analysis using historical data, the system comprising:

• a memory comprising computer readable instructions;
• and
• a processor for executing the computer readable instructions, the computer readable instructions performing a method comprising:
• classifying, by a processor, a plurality of historic feedback into a plurality of atomic pieces of historic feedback to create an association between the plurality of atomic pieces of historic feedback and a plurality of atomic pieces of historic code wherein the feedback comprise a plurality of comments related to one or more code improvements, and wherein each comment is written by a respective software code reviewer and is expressed in natural language, by performing the steps of:
• determining whether each feedback refers to one or more code improvements, reducing the feedback to an atomic piece of historic feedback for each respective improvement, grouping similar kinds of atomic pieces of feedback and associating one or more atomic pieces of feedback with its related atomic pieces of historic code;
• storing, by the processor, the plurality of atomic pieces of historic feedback and the plurality of atomic pieces of historic code to a data store;
• receiving, by the processor, a request for code review of new code;
• comparing, by the processor, the new code to the plurality of atomic pieces of historic code to measure similarities between the new code and the plurality of atomic pieces of historic code to identify each atomic pieces of historic code that is similar to the new code, wherein each similar atomic piece of historic code are ranked according to similarity to the new code;
• providing, by the processor, feedback on the new code based on atomic pieces of feedback associated with the similar atomic pieces of historic code and sorting the feedback based upon the ranked similarity and a priority of the feedback;
• and
• tracking actions of a developer, learning from actions of the developer, and increasing or decreasing the priority of the feedback associated with the similar code for being considered in the future based on what action the developer implemented, wherein the priority of the feedback is increased when the action of the developer is to address an issue in a similar way as it was previously addressed, and wherein the priority of the feedback is decreased when the action of the developer is not to address the issue.

A computer program product for adaptive dynamic code analysis using historical data, the computer program product comprising:

• a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processing device to cause the processing device to perform a method comprising:
• classifying, by a processor, a plurality of historic feedback into a plurality of atomic pieces of historic feedback to create an association between the plurality of atomic pieces of historic feedback and a plurality of atomic pieces of historic code wherein the feedback comprise a plurality of comments related to one or more code improvements, and wherein each comment is written by a respective software code reviewer and is expressed in natural language, by performing the steps of:
• determining whether each feedback refers to one or more code improvements, reducing the feedback to an atomic piece of historic feedback for each respective improvement, grouping similar kinds of atomic pieces of feedback and associating one or more atomic pieces of feedback with its related atomic pieces of historic code;
• storing, by the processor, the plurality of atomic pieces of historic feedback and the plurality of atomic pieces of historic code to a data store;
• receiving, by the processor, a request for code review of new code;
• comparing, by the processor, the new code to the plurality of atomic pieces of historic code to measure similarities between the new code and the plurality of atomic pieces of historic code to identify each atomic piece of historic code that is similar to the new code, wherein each similar atomic piece of historic code are ranked according to similarity to the new code;
• providing, by the processor, feedback on the new code based on atomic pieces of feedback associated with the similar atomic pieces of historic code and sorting the feedback based upon the ranked similarity and a priority of the feedback;
• and
• tracking actions of a developer learning from actions of the developer, and increasing or decreasing the priority of the feedback associated with the similar code for being considered in the future based on an action of the developer, wherein the priority of the feedback is increased when the action of the developer is to address an issue in a similar way as it was previously addressed, and wherein the priority of the feedback is decreased when the action of the developer is not to address the issue.