Improving Decision Support for Software Component Selection through Systematic Cross-Referencing and Analysis of Multiple Decision Criteria

@article{Becker2013ImprovingDS,
  title={Improving Decision Support for Software Component Selection through Systematic Cross-Referencing and Analysis of Multiple Decision Criteria},
  author={Christoph Becker and Michael Kraxner and Markus Plangg and Andreas Rauber},
  journal={2013 46th Hawaii International Conference on System Sciences},
  year={2013},
  pages={1193-1202}
}
This article discusses opportunities for leveraging scale in cases of recurring scenarios of comparable decisions with multiple objectives in well-defined domains. Based on a software component ranking and selection method that uses utility analysis to separate objective information gathering and subjective assessment, we discuss challenges of decision making such as criterion complexity and evaluation effort. We show that by systematically identifying criteria across cases, it becomes feasible… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS