NDLI: Software effort estimation using machine learning methods

Content Provider	IEEE Xplore Digital Library
Author	Baskeles, B. Turhan, B. Bener, A.
Copyright Year	2007
Description	Author affiliation: Bogazici Univ., Istanbul (Baskeles, B.; Turhan, B.; Bener, A.)
Abstract	In software engineering, the main aim is to develop projects that produce the desired results within limited schedule and budget. The most important factor affecting the budget of a project is the effort. Therefore, estimating effort is crucial because hiring people more than needed leads to a loss of income and hiring people less than needed leads to an extension of schedule. The main objective of this research is making an analysis of software effort estimation to overcome problems related to it: budget and schedule extension. To accomplish this, we propose a model that uses machine learning methods. We evaluate these models on public datasets and data gathered from software organizations in Turkey. It is found out in the experiments that the best method for a dataset may change and this proves the point that the usage of one model cannot always produce the best results.
Starting Page	1
Ending Page	6
File Size	197735
Page Count	6
File Format	PDF
ISBN	9781424413638
DOI	10.1109/ISCIS.2007.4456863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-07
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Neural networks Programming Predictive models Cost function Scheduling Parametric statistics Regression analysis Regression tree analysis Software engineering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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