{"title":"静态提取程序配置选项","authors":"A. Rabkin, R. Katz","doi":"10.1145/1985793.1985812","DOIUrl":null,"url":null,"abstract":"Many programs use a key-value model for configuration options. We examined how this model is used in seven open source Java projects totaling over a million lines of code. We present a static analysis that extracts a list of configuration options for a program. Our analysis finds 95% of the options read by the programs in our sample, making it more complete than existing documentation. Most configuration options we saw fall into a small number of types. A dozen types cover 90% of options. We present a second analysis that exploits this fact, inferring a type for most options. Together, these analyses enable more visibility into program configuration, helping reduce the burden of configuration documentation and configuration debugging.","PeriodicalId":412454,"journal":{"name":"2011 33rd International Conference on Software Engineering (ICSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"117","resultStr":"{\"title\":\"Static extraction of program configuration options\",\"authors\":\"A. Rabkin, R. Katz\",\"doi\":\"10.1145/1985793.1985812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many programs use a key-value model for configuration options. We examined how this model is used in seven open source Java projects totaling over a million lines of code. We present a static analysis that extracts a list of configuration options for a program. Our analysis finds 95% of the options read by the programs in our sample, making it more complete than existing documentation. Most configuration options we saw fall into a small number of types. A dozen types cover 90% of options. We present a second analysis that exploits this fact, inferring a type for most options. Together, these analyses enable more visibility into program configuration, helping reduce the burden of configuration documentation and configuration debugging.\",\"PeriodicalId\":412454,\"journal\":{\"name\":\"2011 33rd International Conference on Software Engineering (ICSE)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"117\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 33rd International Conference on Software Engineering (ICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1985793.1985812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 33rd International Conference on Software Engineering (ICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1985793.1985812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Static extraction of program configuration options
Many programs use a key-value model for configuration options. We examined how this model is used in seven open source Java projects totaling over a million lines of code. We present a static analysis that extracts a list of configuration options for a program. Our analysis finds 95% of the options read by the programs in our sample, making it more complete than existing documentation. Most configuration options we saw fall into a small number of types. A dozen types cover 90% of options. We present a second analysis that exploits this fact, inferring a type for most options. Together, these analyses enable more visibility into program configuration, helping reduce the burden of configuration documentation and configuration debugging.