{"title":"软件工作量估算综述","authors":"K. Usharani, V. Ananth, D. Velmurugan","doi":"10.1109/ICEEOT.2016.7755665","DOIUrl":null,"url":null,"abstract":"In software effort estimation lot of algorithmic and prediction methods are available. Even though the researches try to get a better effort estimation technique. Because it has a vital role in software engineering. Mostly, the industries use the expert's judgements for assessing the effort. The experts may use some methodologies for their references. So, still the algorithmic and prediction methods for software effort estimation needs to be improved. This survey paper taken fifteen journal papers from various journals. All papers are related to the algorithmic methods and prediction methods of software effort estimation. This paper summarizes those concepts and describes that what are all the directions it can improved, what are the data preprocessing procedures are efficient to improve the accuracy of the methods and how to evaluate the methods for software effort estimation.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A survey on software effort estimation\",\"authors\":\"K. Usharani, V. Ananth, D. Velmurugan\",\"doi\":\"10.1109/ICEEOT.2016.7755665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In software effort estimation lot of algorithmic and prediction methods are available. Even though the researches try to get a better effort estimation technique. Because it has a vital role in software engineering. Mostly, the industries use the expert's judgements for assessing the effort. The experts may use some methodologies for their references. So, still the algorithmic and prediction methods for software effort estimation needs to be improved. This survey paper taken fifteen journal papers from various journals. All papers are related to the algorithmic methods and prediction methods of software effort estimation. This paper summarizes those concepts and describes that what are all the directions it can improved, what are the data preprocessing procedures are efficient to improve the accuracy of the methods and how to evaluate the methods for software effort estimation.\",\"PeriodicalId\":383674,\"journal\":{\"name\":\"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEOT.2016.7755665\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEOT.2016.7755665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In software effort estimation lot of algorithmic and prediction methods are available. Even though the researches try to get a better effort estimation technique. Because it has a vital role in software engineering. Mostly, the industries use the expert's judgements for assessing the effort. The experts may use some methodologies for their references. So, still the algorithmic and prediction methods for software effort estimation needs to be improved. This survey paper taken fifteen journal papers from various journals. All papers are related to the algorithmic methods and prediction methods of software effort estimation. This paper summarizes those concepts and describes that what are all the directions it can improved, what are the data preprocessing procedures are efficient to improve the accuracy of the methods and how to evaluate the methods for software effort estimation.