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Could Availability of Free Articles Reduce Faculty’s Dependence on the Library? Analysis of Items Cited by Faculty From Singapore Management University 免费文献能减少教师对图书馆的依赖吗?新加坡管理大学教师引文分析
InfoSciRN: Open Data (Topic) Pub Date : 2019-06-27 DOI: 10.2139/ssrn.3410701
Nursyeha Binte Yahaya, Aaron Tay Chee Hsien
{"title":"Could Availability of Free Articles Reduce Faculty’s Dependence on the Library? Analysis of Items Cited by Faculty From Singapore Management University","authors":"Nursyeha Binte Yahaya, Aaron Tay Chee Hsien","doi":"10.2139/ssrn.3410701","DOIUrl":"https://doi.org/10.2139/ssrn.3410701","url":null,"abstract":"Recent work suggests that we are close to the 50% mark for freely available articles (Archambault et al., 2013, Jamali and Nabavi, 2015). Given that over 80% of faculty surveyed said that they would search for a freely available version if they do not have immediate access via the library (Wolff et al., 2016) it is natural to wonder if the rise of articles could have reduced our faculty’s dependence on the library for access of articles.","PeriodicalId":370716,"journal":{"name":"InfoSciRN: Open Data (Topic)","volume":"1187 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysing the Adaptability of Software Defect Prediction in Small Software Firms 软件缺陷预测在小型软件企业中的适应性分析
InfoSciRN: Open Data (Topic) Pub Date : 2019-05-17 DOI: 10.2139/ssrn.3508639
S. K, Dr. Arun Biradar
{"title":"Analysing the Adaptability of Software Defect Prediction in Small Software Firms","authors":"S. K, Dr. Arun Biradar","doi":"10.2139/ssrn.3508639","DOIUrl":"https://doi.org/10.2139/ssrn.3508639","url":null,"abstract":"Software Defect Prediction [SDP] assumes an imperative job in the dynamic research territories of software engineering. A software defect is an error, bug, glitch or error in software that makes it make a wrong or startling result. The significant hazard factors related with a software defect which isn't recognized amid the early period of software development are time, quality, cost, exertion and wastage of assets. Defects may happen in any period of software development. Blasting software organizations center fixation on the software quality, especially amid the early period of the software development. Thus the key goal of any association is to decide and address the defects in an early period of development process of the software. The research carried out in this paper shows how we have attempted to perceive the troubles in Software Defect Prediction with the help of a survey outline, a sorted out survey toward this way was set up with 71 questions and 370 respondents down the results using IBM SPSS Tool.","PeriodicalId":370716,"journal":{"name":"InfoSciRN: Open Data (Topic)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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