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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 Training algorithm ♦ Resource estimation ♦ Neural network ♦ Software engineering
Abstract Software Engineering as a discipline emerged in response to the software crisis perceived by the industry. It is a well known fact that at the beginning of any project, the software industry needs to know how much will it cost to develop and what would be the time required. Resource estimation in software engineering is more challenging than resource estimation in any other industry. A number of resource estimation methods are currently available and the neural network model is one of them. This paper proposes to evaluate various training algorithms in a neural network model and shows which is the best suited for software engineering applications.
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 4
Page Count 4
Starting Page 1
Ending Page 4


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Source: ACM Digital Library