NDLI: Proposing a new software cost estimation model based on artificial neural networks

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2010 2nd International Conference on Computer Engineering and Technology

Volume 7 - 2010

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Notice of RetractionThe reliability analysis of a micro-punching mold for IC packing bag

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Frame based object detection - an application for traffic monitoring

Shape-based recognition and classification for common objects - an application in video scene analysis

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Multimedia learning machine based on non-deterministic finite automaton

Online query submission for Deep web in specific domains

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Maximum lifetime routing strategies for wireless sensor networks in coal mine

Modeling and compound control of disk brake automatic drilling system

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Design for wireless temperature and humidity monitoring system of the intelligent greenhouse

Performance analysis of cooperative spectrum sensing in different fading channels

Channel assignment and routing in multi-channel, multi-interface wireless mesh networks

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Chaotic and pattern recognition properties of a network of Logistic neurons

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Arithmetic and implementing on indirect position detecting of SRM based on FPGA

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Security of Voip networks

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Structural characteristic of large-scale software development network

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Challenges from quantum capacitance in process of high performance carbon nanotube-FETs design

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Application of reverse engineering in the inner decoration mold of automobile ceiling

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Proposing a new software cost estimation model based on artificial neural networks

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Volume 2 - 2010

Volume 1 - 2010

2009 International Conference on Computer Engineering and Technology

Proposing a new software cost estimation model based on artificial neural networks

Content Provider	IEEE Xplore Digital Library
Author	Attarzadeh, I. Siew Hock Ow
Copyright Year	2010
Description	Author affiliation: Department of Software Engineering, Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, MALAYSIA (Attarzadeh, I.; Siew Hock Ow)
Abstract	The precision of software project estimation such as project cost estimation, project quality estimation and project risk analysis are important issues in software project management. The ability to accurately estimate software development costs is required by the project managers in planning and conducting software development activities. Since software effort drivers are vague and uncertain, software effort estimates, especially in the early stages of the development life cycle. The estimates are often the least accurate, because very little detail is known about the project and the product at the beginning. The need for reliable and accurate cost predictions in software engineering is an ongoing challenge for software engineers. In this paper a novel neural network Constructive Cost Model (COCOMO) is proposed for software cost estimation. This model carries some of the desirable features of neural networks approach, such as learning ability and good interpretability, while maintaining the merits of the COCOMO model. Unlike the standard neural networks approach, the proposed model can be interpreted and validated by experts, and has good generalisation capability. The model deals effectively with imprecise and uncertain input and enhances the reliability of software cost estimates. From the experimental results, it was concluded that, by the proposed neural network model, the accuracy of cost estimation can be improved and the estimated cost can be very close to the actual cost.
File Size	243700
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485840
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Project management Artificial neural networks Programming software cost estimation models Risk analysis Software development management artificial neural networks Neural networks Software quality Life estimation soft computing techniques COCOMO model Software engineering
Content Type	Text
Resource Type	Article

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