{"title":"软件开发项目中两种成功预测模型的比较","authors":"A. Maglyas, U. Nikula, K. Smolander","doi":"10.1109/CEE-SECR.2010.5783149","DOIUrl":null,"url":null,"abstract":"Background: The size and complexity of software development projects are growing. At the same time, the proportion of successful projects is still quite low according to the previous research. One way to approach this problem is to develop and use methods that can predict project success beforehand and act accordingly.","PeriodicalId":187644,"journal":{"name":"2010 6th Central and Eastern European Software Engineering Conference (CEE-SECR)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Comparison of two models of success prediction in software development projects\",\"authors\":\"A. Maglyas, U. Nikula, K. Smolander\",\"doi\":\"10.1109/CEE-SECR.2010.5783149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: The size and complexity of software development projects are growing. At the same time, the proportion of successful projects is still quite low according to the previous research. One way to approach this problem is to develop and use methods that can predict project success beforehand and act accordingly.\",\"PeriodicalId\":187644,\"journal\":{\"name\":\"2010 6th Central and Eastern European Software Engineering Conference (CEE-SECR)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 6th Central and Eastern European Software Engineering Conference (CEE-SECR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEE-SECR.2010.5783149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 6th Central and Eastern European Software Engineering Conference (CEE-SECR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEE-SECR.2010.5783149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of two models of success prediction in software development projects
Background: The size and complexity of software development projects are growing. At the same time, the proportion of successful projects is still quite low according to the previous research. One way to approach this problem is to develop and use methods that can predict project success beforehand and act accordingly.