132 citations · 245 across the 5 of their papers we have counts for
7 papers
An Empirical Study of Token-based Micro Commits
Masanari Kondo, Daniel M. German, Yasutaka Kamei +2
In software development, developers frequently apply maintenance activities to the source code that change a few lines by a single commit. A good understanding of the characteristi…
The Impact of Using Regression Models to Build Defect Classifiers
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei +1
It is common practice to discretize continuous defect counts into defective and non-defective classes and use them as a target variable when building defect classifiers (discretize…
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei +1
Researchers usually discretize a continuous dependent variable into two target classes by introducing an artificial discretization threshold (e.g., median). However, such discretiz…
The impact of feature importance methods on the interpretation of defect classifiers
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei +1
Classifier specific (CS) and classifier agnostic (CA) feature importance methods are widely used (often interchangeably) by prior studies to derive feature importance ranks from a…
A Quantitative Study of Security Bug Fixes of GitHub Repositories
Daito Nakano, Mingyang Yin, Ryosuke Sato +3
Software is prone to bugs and failures. Security bugs are those that expose or share privileged information and access in violation of the software's requirements. Given the seriou…
Towards effective AI-powered agile project management
Hoa Khanh Dam, Truyen Tran, John Grundy +2
The rise of Artificial intelligence (AI) has the potential to significantly transform the practice of project management. Project management has a large socio-technical element wit…