Quantifying tester sentiment during a development process

A system comprising:

• a memory having computer readable instructions;
• and
• one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
• executing a first instance of a first software-under-development;
• receiving a first feedback data from a first tester, the first feedback data representing feedback generated by the first tester in connection with the first instance of the first software-under-development, wherein the first feedback data comprises physiological data;
• correlating a first time stamp from the first feedback data to a second time stamp from an aspect of the first instance of the first software-under-development to derive a tester sentiment data;
• using the tester sentiment data to determine a tester sentiment rating of the first instance of the software-under-development;
• analyzing, via natural language processing techniques, a third textual feedback;
• determining, via the natural language processing techniques, that the first tester did not report the first instance of the software-under-development;
• and
• generating a ticket to request that the first tester describe any issues with the first instance of the software-under-development based on the negative tester sentiment and determination that the first tester did not report the first instance of the software-under-development.

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

• executing a first instance of a first software-under-development;
• receiving a first feedback data from a first tester, the first feedback data representing feedback generated by the first tester in connection with the first instance of the first software-under-development, wherein the first feedback data comprises physiological data t;
• correlating a first time stamp from the first feedback data to a second time stamp from an aspect of the first instance of the first software-under-development to derive a tester sentiment data;
• using the tester sentiment data to determine a tester sentiment rating of the first instance of the software-under-development;
• analyzing, via natural language processing techniques, a third textual feedback;
• determining, via the natural language processing techniques, that the first tester did not report the first instance of the software-under-development;
• and
• generating a ticket to request that the first tester describe any issues with the first instance of the software-under-development based on the negative tester sentiment and determination that the first tester did not report the first instance of the software-under-development.