M. Staples, Ross Jeffery, June Andronick, Toby C. Murray, G. Klein, Rafal Kolanski
{"title":"验证工程的生产力","authors":"M. Staples, Ross Jeffery, June Andronick, Toby C. Murray, G. Klein, Rafal Kolanski","doi":"10.1145/2652524.2652551","DOIUrl":null,"url":null,"abstract":"Context: Recent projects such as L4.verified (the verification of the seL4 microkernel) have demonstrated that large-scale formal program verification is now becoming practical.\n Objective: We address an important but unstudied aspect of proof engineering: proof productivity.\n Method: We extracted size and effort data from the history of the development of nine projects associated with L4.verified.\n Results: We find strong linear relationships between effort and proof size for projects and for individuals. We discuss opportunities and limitations with the use of lines of proof as a size measure, and discuss the importance of understanding proof productivity for future research.\n Conclusions: An understanding of proof productivity will assist in its further industrial application and provide a basis for cost estimation and understanding of rework and tool usage.","PeriodicalId":124452,"journal":{"name":"International Symposium on Empirical Software Engineering and Measurement","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Productivity for proof engineering\",\"authors\":\"M. Staples, Ross Jeffery, June Andronick, Toby C. Murray, G. Klein, Rafal Kolanski\",\"doi\":\"10.1145/2652524.2652551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Context: Recent projects such as L4.verified (the verification of the seL4 microkernel) have demonstrated that large-scale formal program verification is now becoming practical.\\n Objective: We address an important but unstudied aspect of proof engineering: proof productivity.\\n Method: We extracted size and effort data from the history of the development of nine projects associated with L4.verified.\\n Results: We find strong linear relationships between effort and proof size for projects and for individuals. We discuss opportunities and limitations with the use of lines of proof as a size measure, and discuss the importance of understanding proof productivity for future research.\\n Conclusions: An understanding of proof productivity will assist in its further industrial application and provide a basis for cost estimation and understanding of rework and tool usage.\",\"PeriodicalId\":124452,\"journal\":{\"name\":\"International Symposium on Empirical Software Engineering and Measurement\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Empirical Software Engineering and Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2652524.2652551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Empirical Software Engineering and Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2652524.2652551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Context: Recent projects such as L4.verified (the verification of the seL4 microkernel) have demonstrated that large-scale formal program verification is now becoming practical.
Objective: We address an important but unstudied aspect of proof engineering: proof productivity.
Method: We extracted size and effort data from the history of the development of nine projects associated with L4.verified.
Results: We find strong linear relationships between effort and proof size for projects and for individuals. We discuss opportunities and limitations with the use of lines of proof as a size measure, and discuss the importance of understanding proof productivity for future research.
Conclusions: An understanding of proof productivity will assist in its further industrial application and provide a basis for cost estimation and understanding of rework and tool usage.