Sponsor
This work was supported in part by NASA Grant; contract/grant number: NAG5-12 736.
Published In
Software Process: Improvement and Practice
Document Type
Post-Print
Publication Date
2005
Subjects
System analysis -- Simulation methods, Heuristic algorithms
Abstract
This work illustrates the use of heuristic algorithms to improve the verification and validation of software process simulation models. To use this approach, an optimization problem is formulated to guide a heuristic search algorithm that will attempt to locate particular combinations of parameter values that yield surprising results. These surprising results often help the modeler to identify flaws in the model logic that would otherwise remain undetected. The general concepts are discussed and a simple example is provided.
Rights
This is an uncorrected proof © 2005 John Wiley & Sons, Ltd. made available under the August 2022 OSTP/Nelson Memo that requires public access to federally funded scientific data. This is the post-print version. The published version, Copyright © 2005 John Wiley & Sons, Ltd., is available here: https://doi.org/10.1002/spip.231
DOI
10.1002/spip.231
Persistent Identifier
https://archives.pdx.edu/ds/psu/42820
Citation Details
Wakeland, W., Shervais, S., & Raffo, D. (2005). Heuristic optimization as a V&V tool for software process simulation models. [Post-print] Software Process: Improvement and Practice, 10(3), 301-309. https://doi.org/10.1002/spip.231
Description
Special Issue on ProSim 2004, The 5th International Workshop on Software Process Simulation and Modeling; July/September 2005