A qualitative empirical evaluation of design decisions

  • Authors:
  • Carmen Zannier;Frank Maurer

  • Affiliations:
  • University of Calgary, Calgary, AB, Canada;University of Calgary, Calgary, AB, Canada

  • Venue:
  • HSSE '05 Proceedings of the 2005 workshop on Human and social factors of software engineering
  • Year:
  • 2005

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Abstract

In this paper, we motivate examining software design decision making and provide the process by which the examination will occur. The objective is to provide qualitative results indicative of rational or naturalistic software design decision making. In a rational decision a decision maker evaluates decision alternatives and potential outcomes for each alternative using a utility function and probabilities of the outcome of each alternative. The utility function assigns a value to each possible alternative based on its outcome. The goal of rational decision making is selecting the optimal alternative. A naturalistic decision manifests itself in dynamic and continually changing conditions, embodies real-time reactions to these changes, embraces ill-defined tasks, and has a goal of selecting a satisfactory alternative. The proposed empirical qualitative study consists of inductive and deductive interviewing and deductive observations.