M. Staples, Ross Jeffery, June Andronick, Toby C. Murray, G. Klein, Rafal Kolanski
{"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}
引用次数: 15
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.
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.