7 papers
On Applying Bandit Algorithm to Fault Localization Techniques
Masato Nakao, Kensei Hamamoto, Masateru Tsunoda +5
Developers must select a high-performance fault localization (FL) technique from available ones. A conventional approach is to try to select only one FL technique that is expected…
An Empirical Study of the Impact of Test Strategies on Online Optimization for Ensemble-Learning Defect Prediction
Kensei Hamamoto, Masateru Tsunoda, Amjed Tahir +5
Ensemble learning methods have been used to enhance the reliability of defect prediction models. However, there is an inconclusive stability of a single method attaining the highes…
Building Defect Prediction Models by Online Learning Considering Defect Overlooking
Nikolay Fedorov, Yuta Yamasaki, Masateru Tsunoda +5
Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model, when a new data point is added. However…
The Impact of Defect (Re) Prediction on Software Testing
Yukasa Murakami, Yuta Yamasaki, Masateru Tsunoda +5
Cross-project defect prediction (CPDP) aims to use data from external projects as historical data may not be available from the same project. In CPDP, deciding on a particular hist…
Selecting Source Code Generation Tools Based on Bandit Algorithms
Ryoto Shima, Masateru Tsunoda, Yukasa Murakami +5
Background: Recently, code generation tools such as ChatGPT have drawn attention to their performance. Generally, a prior analysis of their performance is needed to select new code…
Software Defect Prediction by Online Learning Considering Defect Overlooking
Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda +5
Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model when adding a new data point. However, p…
A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction
Teruki Hayakawa, Masateru Tsunoda, Koji Toda +2
Various software fault prediction models and techniques for building algorithms have been proposed. Many studies have compared and evaluated them to identify the most effective one…