{"title":"大软件文件名长度的自相似与随机演化机制","authors":"Cheng Yongzhou, Wang Min","doi":"10.1109/CMSP.2011.105","DOIUrl":null,"url":null,"abstract":"File name length evolution mechanism of large software is researched in the present paper. Our statistical fact: large software file name length follows lognormal distribution, brings us the conjecture on file name growing process with self-similar and stochastic growth dynamics implied by Gibrat's law. Based on our empirical results, a model is proposed to simulate the growth of large software file name length with self-similar and stochastic evolution mechanism. Both the numerical simulation and theory analytical results, finally, show that the proposed model makes a good agreement with the empirical data, and hence the conjecture is proved to be correct and our model can simulate the underlying evolution law of large software file name growth.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-Similar & Stochastic Evolution Mechanism of Large Software File Name Length\",\"authors\":\"Cheng Yongzhou, Wang Min\",\"doi\":\"10.1109/CMSP.2011.105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"File name length evolution mechanism of large software is researched in the present paper. Our statistical fact: large software file name length follows lognormal distribution, brings us the conjecture on file name growing process with self-similar and stochastic growth dynamics implied by Gibrat's law. Based on our empirical results, a model is proposed to simulate the growth of large software file name length with self-similar and stochastic evolution mechanism. Both the numerical simulation and theory analytical results, finally, show that the proposed model makes a good agreement with the empirical data, and hence the conjecture is proved to be correct and our model can simulate the underlying evolution law of large software file name growth.\",\"PeriodicalId\":309902,\"journal\":{\"name\":\"2011 International Conference on Multimedia and Signal Processing\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Multimedia and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMSP.2011.105\",\"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 International Conference on Multimedia and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMSP.2011.105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-Similar & Stochastic Evolution Mechanism of Large Software File Name Length
File name length evolution mechanism of large software is researched in the present paper. Our statistical fact: large software file name length follows lognormal distribution, brings us the conjecture on file name growing process with self-similar and stochastic growth dynamics implied by Gibrat's law. Based on our empirical results, a model is proposed to simulate the growth of large software file name length with self-similar and stochastic evolution mechanism. Both the numerical simulation and theory analytical results, finally, show that the proposed model makes a good agreement with the empirical data, and hence the conjecture is proved to be correct and our model can simulate the underlying evolution law of large software file name growth.