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Author Aggarwal, K. K. ♦ Singh, Yogesh ♦ Puri, Manimala ♦ Chandra, Pravin
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Expert committee model ♦ Function points ♦ Regression ♦ Neural network ♦ Lines of code
Abstract Resource Estimation is a challenging activity, in the early stages of project development. Once the functionality desired by the user is ascertained, function points can be calculated. This paper proposes to estimate Lines of Code once the Function Point count is known, using linear regression techniques and also a neural network model. These two are then combined to propose an expert committee model which gives better results. This is validated by empirical data available from ISBSG data set (release 9).
Description Affiliation: GGS Indraprastha University, Delhi, India (Aggarwal, K. K.; Singh, Yogesh; Chandra, Pravin) || D.Y.Patil, COE, Pune, India (Puri, Manimala)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1979-04-01
Publisher Place New York
Journal ACM SIGSOFT Software Engineering Notes (SOEN)
Volume Number 30
Issue Number 5
Page Count 4
Starting Page 1
Ending Page 4


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Source: ACM Digital Library