Optimizing software process control

  • Authors:
  • Jacob Sukhodolsky

  • Affiliations:
  • Saint Louis University

  • Venue:
  • ACM SIGSOFT Software Engineering Notes
  • Year:
  • 2001

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Abstract

An important problem in software project management is taking control decisions when a schedule slip occurs. Usually such decisions are based only on the manager's experience and intuition. They are often prohibitively costly and still do not guarantee the project's success. This article presents a method for finding the optimal control actions the manager should take to meet a project's deadline in a situation when a schedule slip occurs. The method is based on using a discrete optimization technique, such as dynamic programming. Validation of the method's effectiveness is also included.