Application integration mapping management based upon configurable confidence level threshold

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:

• receive from at least one user a request to map from at least one source application to a target application a plurality of data fields associated with a workflow during an application integration session;
• automatically map, via a machine learning mapping recommendation model, all data fields among the plurality of data fields for which a mapping confidence value is greater than or equal to a confidence level threshold set at a default value;
• receive from one of the at least one user an adjusted value associated with one of at least one confidence level threshold adjustment input selection;
• automatically map, via the machine learning mapping recommendation model, all data fields among the plurality of data fields for which a mapping confidence value is greater than or equal to the confidence level threshold set at the adjusted value;
• calculate average default automatic mapping precision in view of user mapping evaluations based upon the confidence level threshold set at the default value;
• calculate average adjusted automatic mapping precision in view of user mapping evaluations based upon the confidence level threshold set at the adjusted value;
• and
• store the adjusted value as a candidate default confidence level threshold value among at least one candidate default confidence level threshold value responsive to determining that the average adjusted automatic mapping precision is greater than or equal to the average default automatic mapping precision.

A system comprising:

• at least one processor;
• and
• a memory storing an application program, which, when executed on the at least one processor, performs an operation comprising:
• receiving from at least one user a request to map from at least one source application to a target application a plurality of data fields associated with a workflow during an application integration session;
• automatically mapping, via a machine learning mapping recommendation model, all data fields among the plurality of data fields for which a mapping confidence value is greater than or equal to a confidence level threshold set at a default value;
• receiving from one of the at least one user an adjusted value associated with one of at least one confidence level threshold adjustment input selection;
• automatically mapping, via the machine learning mapping recommendation model, all data fields among the plurality of data fields for which a mapping confidence value is greater than or equal to the confidence level threshold set at the adjusted value;
• calculating average default automatic mapping precision in view of user mapping evaluations based upon the confidence level threshold set at the default value:
• calculating average adjusted automatic mapping precision in view of user mapping evaluations based upon the confidence level threshold set at the adjusted value;
• and
• storing the adjusted value as a candidate default confidence level threshold value among at least one candidate default confidence level threshold value responsive to determining that the average adjusted automatic mapping precision is greater than or equal to the average default automatic mapping precision.