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Investigating the Relationship Between SLOC and Logical Database Measures to Improve the Early Estimation of Software Cost

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dc.contributor.author Tokdemir, Gül
dc.contributor.author Çağıltay, Nergiz Erçil
dc.date.accessioned 2020-02-26T13:13:27Z
dc.date.available 2020-02-26T13:13:27Z
dc.date.issued 2019-03
dc.identifier.citation Tokdemir, Gul; Cagiltay, Nergiz Ercil, "Investigating the Relationship Between SLOC and Logical Database Measures to Improve the Early Estimation of Software Cost", International Journal of Software Engineering and Knowledge Engineering, Vol. 29, No. 3, pp. 401-413, (2019). tr_TR
dc.identifier.issn 0218-1940
dc.identifier.uri http://hdl.handle.net/20.500.12416/2518
dc.description.abstract Project planning is a critical activity in the software development life cycle. At the early stages of a project, the managers need to estimate required time, effort and cost to plan, track and then to deliver the project successfully. Many studies have attempted to provide methods for precise software cost estimation. The current software cost estimation methods are mainly based on software size estimation and functional system requirements. The main assumption of this study is that, as the primary source of complexity in today's software is the interaction between the database and the user, database measures may provide inputs allowing current software estimation methods to achieve more accurate results. Accordingly, this study attempts to gain insights from objective measures, collected through the logical database model of software systems, for better prediction of the software's effort and hence cost through software lines of code (SLOC) measure. For this purpose, more than 2.5 million lines of code developed by four different companies, for 79 different software packages with their related database design measures, are analyzed. The results of this study show that there is a close correlation between the software size and database design measure, namely, the number of tables which can be collected at the logical database design stage. By adapting this result, the current estimation models could be improved significantly. tr_TR
dc.language.iso eng tr_TR
dc.publisher World Scientific Publ CO PTE LTD tr_TR
dc.relation.isversionof 10.1142/S0218194019500177 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Lines of Code (LOC) tr_TR
dc.subject Logical Database Model tr_TR
dc.subject Early Estimation of Software Cost tr_TR
dc.title Investigating the Relationship Between SLOC and Logical Database Measures to Improve the Early Estimation of Software Cost tr_TR
dc.type article tr_TR
dc.relation.journal International Journal of Software Engineering and Knowledge Engineering tr_TR
dc.contributor.authorID 17411 tr_TR
dc.identifier.volume 29 tr_TR
dc.identifier.issue 3 tr_TR
dc.identifier.startpage 401 tr_TR
dc.identifier.endpage 413 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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