Practical software metrics for project management and process improvement
Practical software metrics for project management and process improvement
Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Principles and techniques of simulation validation, verification, and testing
WSC '95 Proceedings of the 27th conference on Winter simulation
Proceedings of the 32nd conference on Winter simulation
Output interpretation: some myths and common errors in simulation experiments
Proceedings of the 33nd conference on Winter simulation
Test and Development Process Retrospective - A Case Study using ODC Triggers
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
A case study in the use of defect classification in inspections
CASCON '01 Proceedings of the 2001 conference of the Centre for Advanced Studies on Collaborative research
Verification validation: model verification and validation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Quality assessment, verification, and validation of modeling and simulation applications
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Defect classification and defect types revisited
DEFECTS '08 Proceedings of the 2008 workshop on Defects in large software systems
Improving software testing via ODC: three case studies
IBM Systems Journal
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Model deficiencies, despite their negative influences on assessment of modeling and simulation (M&S) applications, carry a large amount of insightful information, which can be used to measure different aspects of the M&S development process and its verification and validation (V&V). Although there already exist various categorizations of model deficiencies, none of which can be used as a measurement tool to classify and analyze deficiency data collected in practice. This paper describes a framework for developing model deficiency classifications and the pilot application of the established classification scheme as a quantitative method to measure and control the V&V process being conducted. Investigations indicate that the proposed approach is capable of providing process diagnoses reflecting the real problems and identifying the improvement potentials. Based on the findings achieved in practice, a planning and tailoring concept is being developed for efficiently applying different V&V techniques in a simulation study.