A software cybernetic approach to control of the software system test phase

  • Authors:
  • Scott D. Miller;Raymond A. DeCarlo;Aditya P. Mathur

  • Affiliations:
  • Purdue University, Computer Sciences, West Lafayette, IN;Purdue University, Electrical and Computer Engineering, West Lafayette, IN;Purdue University, Computer Sciences, West Lafayette, IN

  • Venue:
  • COMPSAC-W'05 Proceedings of the 29th annual international conference on Computer software and applications conference
  • Year:
  • 2005

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Abstract

A quantitative, adaptive process control technique is described using an industrially validated model of the Software System Test Phase as concrete target to be controlled. The technique combines the use of parameter correction and Model Predictive Control to overcome the problems induced by modeling errors, parameter estimation errors, and limits on the resources available for productivity improvement.