Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSingh, J-
dc.contributor.authorSahoo, Bibhudatta-
dc.identifier.citationNational Conference on Advances and Challenges in Engineering & Science(NCACES)-2012, Gujrat, 13-14 April 2012en
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractToday the software industry may be the fastest growing industries in the world. As the industry grows the size and cost of the software are also increasing. Hence there is need of effective techniques for cost estimation in order to control the costs and make the software more competitive. The software development techniques are also changing, and now- a- days most of the companies using object – oriented techniques for software development. UML diagrams are used for analysis and design of a software and different UML constructs can be used at different stages of software development for estimation of resources like efforts & cost etc. Use case point and class point analysis were accepted for the estimation of object-oriented software. In class point analysis some unknown constants are multiplied with known values of product attributes, like no. of methods, classes etc. These add impurities to the estimation model. So in this paper we have applied Artificial Neural model for estimation directly from known attributes and we find that it gives good results than class point analysis.en
dc.format.extent307782 bytes-
dc.subjectEffort estimationen
dc.subjectArtificial Neural Networksen
dc.subjectUse case Pointsen
dc.subjectClass Pointsen
dc.titleUML Based Object Oriented Software Development Effort Estimation Using ANNen
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
OO Effort Estimation Paper.pdf300.57 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.