Related references
Note: Only part of the references are listed.Does class size matter? An in-depth assessment of the effect of class size in software defect prediction
Amjed Tahir et al.
EMPIRICAL SOFTWARE ENGINEERING (2021)
Using Bandit Algorithms for Project Selection in Cross-Project Defect Prediction
Takuya Asano et al.
2021 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2021) (2021)
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models
Chakkrit Tantithamthavorn et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2020)
On the relative value of data resampling approaches for software defect prediction
Kwabena Ebo Bennin et al.
EMPIRICAL SOFTWARE ENGINEERING (2019)
A two-phase transfer learning model for cross-project defect prediction
Chao Liu et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2019)
A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches
Steffen Herbold et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2018)
How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction
Yuming Zhou et al.
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY (2018)
MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction
Kwabena Ebo Benni et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2018)
Cross project project defect prediction using class distribution estimation and oversampling
Nachai Limsettho et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2018)
Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning
Xiao Yu et al.
SOFT COMPUTING (2018)
Revisiting the size effect in software fault prediction models
Amjed Tahir et al.
PROCEEDINGS OF THE 12TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2018) (2018)
A transfer cost-sensitive boosting approach for cross-project defect prediction
Duksan Ryu et al.
SOFTWARE QUALITY JOURNAL (2017)
Robust Statistical Methods for Empirical Software Engineering
Barbara Kitchenham et al.
EMPIRICAL SOFTWARE ENGINEERING (2017)
An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems
Xiao-Yuan Jing et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2017)
Cross-project Defect Prediction Using a Credibility Theory based Naive Bayes Classifier
Wai Nam Poon et al.
2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS) (2017)
The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification
Kwabena Ebo Bennin et al.
11TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2017) (2017)
Studying just-in-time defect prediction using cross-project models
Yasutaka Kamei et al.
EMPIRICAL SOFTWARE ENGINEERING (2016)
Value-cognitive boosting with a support vector machine for cross-project defect prediction
Duksan Ryu et al.
EMPIRICAL SOFTWARE ENGINEERING (2016)
Investigating the Effects of Balanced Training and Testing Datasets on Effort-Aware Fault Prediction Models
Kwabena Ebo Bennin et al.
PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS, VOL 1 (2016)
Negative samples reduction in cross-company software defects prediction
Lin Chen et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2015)
Improving Cross-Project Defect Prediction Methods with Data Simplification
Sousuke Amasaki et al.
PROCEEDINGS 41ST EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS SEAA 2015 (2015)
Improving Relevancy Filter Methods for Cross-Project Defect Prediction
Kazuya Kawata et al.
3RD INTERNATIONAL CONFERENCE ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY (ACIT 2015) 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND INTELLIGENCE (CSI 2015) (2015)
Data Quality: Some Comments on the NASA Software Defect Datasets
Martin Shepperd et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2013)
Empirical evaluation of the effects of mixed project data on learning defect predictors
Burak Turhan et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2013)
An investigation on the feasibility of cross-project defect prediction
Zhimin He et al.
AUTOMATED SOFTWARE ENGINEERING (2012)
Using Coding-Based Ensemble Learning to Improve Software Defect Prediction
Zhongbin Sun et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)
On the relative value of cross-company and within-company data for defect prediction
Burak Turhan et al.
EMPIRICAL SOFTWARE ENGINEERING (2009)
Benchmarking classification models for software defect prediction: A proposed framework and novel findings
Stefan Lessmann et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2008)
Data mining static code attributes to learn defect predictors
Tim Menzies et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2007)
Size of treatment effects and their importance to clinical research and practice
Helena Chmura Kraemer et al.
BIOLOGICAL PSYCHIATRY (2006)
The multivariate nonparametric Behrens-Fisher problem
E Brunner et al.
JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2002)
The confounding effect of class size on the validity of object-oriented metrics
KE Emam et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2001)
Quantitative analysis of faults and failures in a complex software system
NE Fenton et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2000)