{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/53089"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/53089","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"The control and transformation metric: a basis for measuring model complexity","abstract":"The purpose of this report is to develop a complexity metric suitable for discrete event simulation model representations. Current software metrics, based upon graphical analysis or static program characteristics, do not capture the influence on complexity stemming from the inherent dynamics of a model. A study of extant software metrics provides a basis for identifying desirable properties for model application. Various approaches are examined, and a set of characteristics for a model complexity metric is defined. A metric evolves from the recognition of the two types of complexity: transformation and control, both of which appear prominently in model representations. Experimental data are presented to verify that the Control and Transformation (CAT) metric reflects the desired behavior. Experimental evaluation supports the claim that the CAT metric is an improvement over existing software metrics for measuring the complexity of model representations.","abstract_html":"The purpose of this report is to develop a complexity metric suitable for discrete event simulation model representations. Current software metrics, based upon graphical analysis or static program characteristics, do not capture the influence on complexity stemming from the inherent dynamics of a model. A study of extant software metrics provides a basis for identifying desirable properties for model application. Various approaches are examined, and a set of characteristics for a model complexity metric is defined. A metric evolves from the recognition of the two types of complexity: transformation and control, both of which appear prominently in model representations. Experimental data are presented to verify that the Control and Transformation (CAT) metric reflects the desired behavior. Experimental evaluation supports the claim that the CAT metric is an improvement over existing software metrics for measuring the complexity of model representations.","abstract_has_math":false,"creators":["Wallace, Jack C."],"institution":"Virginia Polytechnic Institute and State University","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Computer Science and Applications","degree_department":"Computer Science and Applications","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1985,"date_issued":"1985","date_published":"1985","updated_at":"2026-07-22T22:20:37Z","subjects":[],"languages":["en_US"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10919/53089","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Computer Science and Applications"]},{"key":"dc:creator","label":"Author","values":["Wallace, Jack C."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2015-06-23T19:08:32Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2015-06-23T19:08:32Z"]},{"key":"dc:date.issued","label":"Date","values":["1985"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Polytechnic Institute and State University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science and Applications"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/53089"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The purpose of this report is to develop a complexity metric suitable for discrete event simulation model representations. 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