Abstract: Embodiments include in response to monitoring a processor during operation, detecting a first number of core recovery events in the processor, determining that the first number of core recovery events fulfills a first condition for the first core recovery events threshold, and modifying a value of at least one droop sensor parameter of the processor by a first amount. The at least one droop sensor parameters affects a sensitivity to a voltage droop. In response to modifying the value of the droop sensor parameter by the first amount, a second number of core recovery events is detected in the processor. It is determined that the second number of core recovery events fulfills a second condition for a second core recovery events threshold, and the value of the at least one droop sensor parameter is modified by a second amount.

Abstract: Productivity prediction technique and system, in which user input defining workforce capability parameters is received and a prediction model is accessed. The prediction model quantifies an impact of workforce capability on productivity. The model was generated by applying statistical analysis on historical workforce data for projects and historical process metrics data for the projects. The prediction model is used to calculate a distribution of productivity for a given set of workforce capability parameters and the predicted productivity range for the workforce capability parameters is provided.