CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
An empirical study on predictability of software maintainability using imbalanced data
Authors
A Kaur
B Henderson-Sellers
+68 more
C Jin
C Van Koten
D Ash
D Coleman
D Coleman
D Radjenović
GE Batista
H Han
H He
H He
H Lu
HM Olague
IH Laradji
J Al Dallal
J Bansiya
J Platt
J Stefanowski
J Zheng
K Gao
K Napierala
K Yoon
Kusum Lata
L Breiman
L Kumar
L Wang
M Kubat
M Schnappinger
MA Ahmed
MA Maloof
MF Moller
MH Halstead
MJ Siers
MMT Thwin
MO Elish
NC Oza
NF Schneidewind
NV Chawla
NV Chawla
P Hart
P Oman
PJ Rousseeuw
R Malhotra
R Malhotra
R Malhotra
RC Martin
Ruchika Malhotra
S Eski
S Kotsiantis
S Kpodjedo
S Lessmann
S Wang
SL Schneberger
SO Olatunji
SR Chidamber
T Choeikiwong
T Cover
T Fawcett
T Gyimothy
T Menzies
TJ McCabe
W Li
W Zhang
X Wang
Y Peng
Y Singh
Y Xu
Y Zhou
Z Sun
Publication date
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
Abstract is not available.
Similar works
Full text
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
Last time updated on 05/09/2020