{"title":"TPS指标提取软件的资源管理","authors":"J. Luna, M. Morgan, C. Geiger","doi":"10.1109/AUTEST.2016.7589596","DOIUrl":null,"url":null,"abstract":"The Navy has a large set of Test Program Set (TPS) code and associated data that are an untapped resource in Automatic Test System (ATS) planning and support. The ability to relate test instrument capabilities to TPS source data and ATS usage data would provide a comprehensive look at how avionics maintenance is performed. This could identify economic targets of opportunity for the deployment of new and innovative test techniques. Currently the technology does not exist to tap into the available TPS code and associated data. The objective of this effort was to develop a software toolset that provides an innovative capability to extract usage metrics from TPS source code and ATS log data. This paper describes an effort focused on defining and developing a complete data metrics generation concept for the aggregation and analysis of ATE and TPS data. This is a new capability that parses TPS source code and extract metrics that leverages other sources of data, such as log data and UUT maintenance data. The result of the process is the creation of TPS and ATS component usage metrics that can be used to support usage analyses. As a result of this effort, concept software for metrics extraction and analysis from TPS source code and TPS log files was successfully demonstrated. A key goal of this capability is to show how standard Navy maintenance data for Weapon Replaceable Assembly (WRA) and Subsystem Replaceable Assembly (SRA) testing can be merged with TPS data to determine enterprise utilization and prediction of future utilization based on predicted maintenance demand data.","PeriodicalId":314357,"journal":{"name":"2016 IEEE AUTOTESTCON","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TPS metrics extraction software for resource management\",\"authors\":\"J. Luna, M. Morgan, C. Geiger\",\"doi\":\"10.1109/AUTEST.2016.7589596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Navy has a large set of Test Program Set (TPS) code and associated data that are an untapped resource in Automatic Test System (ATS) planning and support. The ability to relate test instrument capabilities to TPS source data and ATS usage data would provide a comprehensive look at how avionics maintenance is performed. This could identify economic targets of opportunity for the deployment of new and innovative test techniques. Currently the technology does not exist to tap into the available TPS code and associated data. The objective of this effort was to develop a software toolset that provides an innovative capability to extract usage metrics from TPS source code and ATS log data. This paper describes an effort focused on defining and developing a complete data metrics generation concept for the aggregation and analysis of ATE and TPS data. This is a new capability that parses TPS source code and extract metrics that leverages other sources of data, such as log data and UUT maintenance data. The result of the process is the creation of TPS and ATS component usage metrics that can be used to support usage analyses. As a result of this effort, concept software for metrics extraction and analysis from TPS source code and TPS log files was successfully demonstrated. A key goal of this capability is to show how standard Navy maintenance data for Weapon Replaceable Assembly (WRA) and Subsystem Replaceable Assembly (SRA) testing can be merged with TPS data to determine enterprise utilization and prediction of future utilization based on predicted maintenance demand data.\",\"PeriodicalId\":314357,\"journal\":{\"name\":\"2016 IEEE AUTOTESTCON\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE AUTOTESTCON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUTEST.2016.7589596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE AUTOTESTCON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEST.2016.7589596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TPS metrics extraction software for resource management
The Navy has a large set of Test Program Set (TPS) code and associated data that are an untapped resource in Automatic Test System (ATS) planning and support. The ability to relate test instrument capabilities to TPS source data and ATS usage data would provide a comprehensive look at how avionics maintenance is performed. This could identify economic targets of opportunity for the deployment of new and innovative test techniques. Currently the technology does not exist to tap into the available TPS code and associated data. The objective of this effort was to develop a software toolset that provides an innovative capability to extract usage metrics from TPS source code and ATS log data. This paper describes an effort focused on defining and developing a complete data metrics generation concept for the aggregation and analysis of ATE and TPS data. This is a new capability that parses TPS source code and extract metrics that leverages other sources of data, such as log data and UUT maintenance data. The result of the process is the creation of TPS and ATS component usage metrics that can be used to support usage analyses. As a result of this effort, concept software for metrics extraction and analysis from TPS source code and TPS log files was successfully demonstrated. A key goal of this capability is to show how standard Navy maintenance data for Weapon Replaceable Assembly (WRA) and Subsystem Replaceable Assembly (SRA) testing can be merged with TPS data to determine enterprise utilization and prediction of future utilization based on predicted maintenance demand data.