Predicting the efficacy of issues detected with machine executed digitized intellectual capital

An apparatus comprising:

• a network interface configured to communicate with a plurality of computing devices;
• and
• a processor coupled to the network interface, the processor configured to:
• obtain a plurality of code modules configured to detect one or more issues in a computing system, wherein each code module of the plurality of code modules is configured to detect a corresponding issue of the one or more issues;
• select from the plurality of code modules to generate a first set of code modules based on a corresponding value metric that includes a first probability of detecting the one or more issues in the computing system and a second probability that the one or more issues will be resolved after being detected, the corresponding value metric for each code module in the first set of code modules being higher than a predetermined threshold;
• sample from a remainder of the plurality of code modules unselected for the first set of code modules to generate a second set of code modules that contains fewer code modules than the remainder of the plurality of code modules unselected for the first set of code modules;
• run the first set of code modules and the second set of code modules to detect the one or more issues;
• and
• update the corresponding value metric for at least one code module in the plurality of code modules.

One or more non-transitory computer readable storage media encoded with software comprising computer executable instructions and, when the software is executed, it is operable to cause a processor to:

• obtain a plurality of code modules configured to detect one or more issues in a computing system, wherein each code module of the plurality of code modules is configured to detect a corresponding issue of the one or more issues;
• select from the plurality of code modules to generate a first set of code modules based on a corresponding value metric that includes a first probability of detecting the one or more issues in the computing system and a second probability that the one or more issues will be resolved after being detected, the corresponding value metric for each code module in the first set of code modules being higher than a predetermined threshold;
• sample from a remainder of the plurality of code modules unselected for the first set of code modules to generate a second set of code modules that contains fewer code modules than the remainder of the plurality of code modules unselected for the first set of code modules;
• run the first set of code modules and the second set of code modules to detect the one or more issues;
• and
• update the corresponding value metric for at least one code module in the plurality of code modules.