2 citations · 2 across the 11 of their papers we have counts for
11 papers
Personalization of Code Readability Evaluation Based on LLM Using Collaborative Filtering
Buntaro Hiraki, Kensei Hamamoto, Ami Kimura +5
Code readability is an important indicator of software maintenance as it can significantly impact maintenance efforts. Recently, LLM (large language models) have been utilized for…
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…
Measuring Cognitive Load of Software Developers Based on Nasal Skin Temperature
Keitaro Nakasai, Shin Komeda, Masateru Tsunoda +1
It has recently become increasingly important to measure the cognitive load of developers. This is because continuing with a development under a high cognitive load may cause human…
How are Project-Specific Forums Utilized? A Study of Participation, Content, and Sentiment in the Eclipse Ecosystem
Yusuf Sulistyo Nugroho, Syful Islam, Keitaro Nakasai +5
Although many software development projects have moved their developer discussion forums to generic platforms such as Stack Overflow, Eclipse has been steadfast in hosting their se…
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…
Are Donation Badges Appealing? A Case Study of Developer Responses to Eclipse Bug Reports
Keitaro Nakasai, Hideaki Hata, Kenichi Matsumoto
Eclipse, an open source software project, acknowledges its donors by presenting donation badges in its issue tracking system Bugzilla. However, the rewarding effect of this strateg…