{"title":"程序开发时间估算的软计算方法","authors":"V. Bhattacherjee","doi":"10.1109/ICIT.2006.84","DOIUrl":null,"url":null,"abstract":"Software effort modeling is one of the fields in which machine learning techniques have proved effective. In this paper, attempt has been made to establish a relation between program development time with respect to its dependence on various program and personnel attributes. A neural network model has been developed to predict the development time of various software programs. The model is a three layer feed forward network with 17 neurons in the hidden layer. The model has 5 inputs and 1 output.","PeriodicalId":161120,"journal":{"name":"9th International Conference on Information Technology (ICIT'06)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"The Soft Computing Approach to Program Development Time Estimation\",\"authors\":\"V. Bhattacherjee\",\"doi\":\"10.1109/ICIT.2006.84\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software effort modeling is one of the fields in which machine learning techniques have proved effective. In this paper, attempt has been made to establish a relation between program development time with respect to its dependence on various program and personnel attributes. A neural network model has been developed to predict the development time of various software programs. The model is a three layer feed forward network with 17 neurons in the hidden layer. The model has 5 inputs and 1 output.\",\"PeriodicalId\":161120,\"journal\":{\"name\":\"9th International Conference on Information Technology (ICIT'06)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"9th International Conference on Information Technology (ICIT'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2006.84\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th International Conference on Information Technology (ICIT'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2006.84","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Soft Computing Approach to Program Development Time Estimation
Software effort modeling is one of the fields in which machine learning techniques have proved effective. In this paper, attempt has been made to establish a relation between program development time with respect to its dependence on various program and personnel attributes. A neural network model has been developed to predict the development time of various software programs. The model is a three layer feed forward network with 17 neurons in the hidden layer. The model has 5 inputs and 1 output.
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