The use of simulation techniques for hybrid software cost estimation and risk analysis

摘要: 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 risks, example, probability distribution of costs. One possibility to provide such the application Monte Carlo simulation. However, it not clear whether other simulation techniques exist that are more accurate efficient when applied in this context. We investigate question with CoBRA®, 1 cost method applies simulation, is, random sampling, estimation. This chapter presents an empirical study, which evaluates selected sampling employed within CoBRA® method. result study usage Latin Hypercube can improve average accuracy by 60% and efficiency 77%. Moreover, analytical solutions compared methods, related work, limitations future research directions described. In addition, comprehensive overview comparison existing effort methods.