DSpace at KOASAS: Improving the accuracy of software effort estimation based on multiple least square regression models by estimation error-based data partitioning

DSpace at KOASAS

College of Engineering(공과대학)School of Computing(전산학부)CS-Conference Papers(학술회의논문)

Improving the accuracy of software effort estimation based on multiple least square regression models by estimation error-based data partitioning

Cited 9 time in

Cited 0 time in

Hit : 347
Download : 0

Export

Seo, Yeong-Seok / Yoon, Kyung-A / Bae, Doo-Hwan researcher

Publisher: 123

Issue Date: 2009-12-01

Language: English

Citation: 16th Asia-Pacific Software Engineering Conference, APSEC 2009, pp.3 - 10

URI: http://hdl.handle.net/10203/156560

Appears in Collection: CS-Conference Papers(학술회의논문)

Files in This Item: There are no files associated with this item.

This item is cited by other documents in WoS

⊙ Detail Information in WoSⓡ	Click to see
⊙ Cited 9 items in WoS	Click to see citing articles in

Display Full Item Record

qr_code

트윗하기

KOASAS

Knowledge Service Development Team, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea. T. 82-42-350-4493 Email. koasas@kaist.ac.kr
Copyright © 2016. Korea Advanced Institute of Science and Technology. All Rights Reserved.

KOASAS

KOASAS

Browse

Improving the accuracy of software effort estimation based on multiple least square regression models by estimation error-based data partitioning

This item is cited by other documents in WoS

KOASAS

Communities & Collections