Automatic pre-detection of potential coding issues and recommendation for resolution actions

A computer program product for automatic pre-detection of potential software product impact and recommendation for resolutions comprising:

• a computer-readable storage memory device excluding a propagating signal per se;
• and
• program instructions stored by the computer readable storage memory device for causing a processor to:
• access a repository of information containing a history of software project changes and effects attributed to the software project changes subsequent to implementation;
• receive from a user an input phrase expressed in natural language;
• perform natural language processing to extract symbols from the input phrase, wherein the natural language processing comprises one or more processes selected from the group consisting of deductive logic, inductive logic, validity and soundness checks, rules of thought, truth functionalities, predicate logic, sorites arguments, ethymemes, syntactic analysis, semantic analysis, and pragmatics;
• search the repository on the extracted symbols which define an unimplemented software project change, wherein the searched symbols exclude symbols which define effects of changes;
• receive from the searching one or more effects attributed to previously-made software project changes which are similar to symbols which define the unimplemented software project change;
• use one or more machine learning models to predict one or more components of the software project likely to be impacted subsequent to implementation of the unimplemented software project change, wherein the prediction is generated from the received effects;
• and
• place an advisory notice according to the impact prediction into a software development tool, wherein the advisory notice is associated with the input phrase.

A system for automatic pre-detection of potential software product impact and recommendation for resolutions comprising:

• a computing platform having a processor and a computer readable storage memory device;
• and
• program instructions encoded by the computer readable storage memory device for causing the processor to:
• access a repository of information containing a history of software project changes and effects attributed to the software project changes subsequent to implementation;
• receive from a user an input phrase expressed in natural language;
• perform natural language processing to extract symbols from the input phrase, wherein the natural language processing comprises one or more processes selected from a group consisting of deductive logic, inductive logic, validity and soundness checks, rules of thought, truth functionalities, predicate logic, sorites arguments, ethymemes, syntactic analysis, semantic analysis, and pragmatics;
• search the repository on the extracted symbols which define an unimplemented software project change, wherein the searched symbols exclude symbols which define effects of changes;
• receive from the searching one or more effects attributed to previously-made software project changes which are similar to symbols which define the unimplemented software project change;
• use one or more machine learning models to predict one or more components of the software project likely to be impacted subsequent to implementation of the unimplemented software project change, wherein the prediction is generated from the received effects;
• and
• place an advisory notice according to the impact prediction into a software development tool, wherein the advisory notice is associated with the input phrase.