Abstract
AbstractThis paper deals with simulation modeling of software processes and proposes the combination of three traditional modeling methods (analytical, continuous and discrete‐event) into a unique hybrid two‐level modeling approach. At the higher abstraction level, the process is modeled by a discrete‐event queuing network, which represents the component activities (i.e. service stations), their interactions, and the exchanged artifacts. The implementation details of the introduced activities are given at the lower abstraction level, where the analytical and continuous methods are used. The proposed approach is applied to a waterfall‐based software process to study the effects of requirements instability on various process quality attributes, as effort, delivery time, productivity, rework percentage and product quality. Simulation results show that the use of the model can provide both qualitative and quantitative suggestions on how to change the software process to improve its quality or to achieve specific organizational goals. The model is primarily designed to represent the behavior of hypothetical projects, to allow researchers to view the implications of their assumptions. However, with small improvements, it can be extended to become a tool for analyzing and predicting the behavior of actual projects. Copyright © 2001 John Wiley & Sons, Ltd.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
