@INCOLLECTION{Klaes2008,
  author = {Kläs, Michael and Trendowicz, Adam and Wickenkamp, Axel and Münch,
	Jürgen and Kikuchi, Nahomi and Ishigai, Yasushi},
  title = {The use of simulation techniques for hybrid software cost estimation
	and risk analysis},
  booktitle = {Advances in computers},
  publisher = {Academic Press},
  year = {2008},
  editor = {Marvin V. Zelkowitz},
  volume = {74},
  series = {Software Development},
  pages = {115-174},
  address = {London},
  abstract = {Cost estimation is a crucial field for companies developing software
	or software-intensive systems. Besides point estimates, effective
	project management also requires information about cost-related project
	risks, e.g., a probability distribution of project costs. One possibility
	to provide such information is the application of Monte Carlo simulation.
	However, it is not clear whether other simulation techniques exist
	that are more accurate or efficient when applied in this context.
	We investigate this question with CoBRA®, a cost estimation method
	that applies simulation, i.e., random sampling, for cost estimation.
	This chapter presents an empirical study, which evaluates selected
	sampling techniques employed within the CoBRA® method. One result
	of this study is that the usage of Latin Hypercube sampling can improve
	average simulation accuracy by 60% and efficiency by 77%. Moreover,
	analytical solutions are compared with sampling methods, and related
	work, limitations of thestudy, and future research directions are
	described. In addition, the chapter presents a comprehensive overview
	and comparison of existing software effort estimation methods.},
  isbn = {978-0-12-374426-5},
  issn = {0065-2458},
  keywords = {simulation; Monte Carlo method; cost estimation; effort estimation;
	COBRA; quantitative analysis}
}