Guide to Advanced Empirical
Static Versus Dynamic Simulation
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| 4.2. Static Versus Dynamic Simulation Static simulation models capture the variation of model parameters atone single point in time, while dynamic simulation models capture the behaviour of model parameters over a specified period of time. Static simulation in software engineering is often used as a reference to stochastic Monte Carlo simulation which does not investigate behaviour overtime. Related examples can be found in (Briand and Pfahl, 2000; Houston, 2003; McCabe, 2003). Table 1 Simulation applications in software engineering Application area in software engineering Selected publications Project management Lee and Miller (2004), Lin et al. (1997), Padberg (2006), Pfahl and Lebsanft (Risk management Houston et al. (2001), Neu et al. (2002), Pfahl (Product and requirements engineering Christie and Staley (2000), Ferreira et al. (2003), Höst et al. (2001), Lerch et al. (1997), Pfahl et al. (2006), Stallinger and Grünbacher (Process engineering Bandinelli et al. (1995), Birkhölzer et al. (2004), Christie (b, Kuppuswami et al. (2003), Mišic et al. (2004), Powell et al. (1999), Raffo et al. (1999), Tvedt and Collofello (Strategic planning Andersson et al. (2002), Pfahl et al. (2006), Williford and Chang (Quality assurance and management Aranda et al. (1993), Briand and Pfahl (2000), Briand et al. (2004), Madachy (1996), Müller (2007), Raffo and Kellner (2000), Raffo et al. (2004), Rus (2002), Rus et al. (Software maintenance and evolution Cartwright and Shepperd (1999), Smith et al. (2005), Wernick and Hall (Global software development Roehling et al. (2000), Setamanit et al. (Software acquisition management and COTS Choi and Scacchi (2001), Häberlein (2003), Häberlein and Gantner (2002), Ruiz et al. (2004), Scacchi and Boehm (1998) Product-lines Chen et al. (Training and education Dantas et al. (2004), Drappa and Ludewig (1999), Madachy and Tarbet (2000), Oh Navarro and van der Hoek (2004), Pfahl et al. (2001) |