42 citations · 78 across the 11 of their papers we have counts for
13 papers
Modelling Regime Shifts in Continuous Intraday Electricity Markets with State-dependent Hawkes Processes
Ayoub Jhabli, Tarek AlSkaif, Kwabena E. Bennin +3
The growing importance of intraday trading in Europe, driven by the increasing penetration of renewable energy sources, has led to higher volatility and periods of market stress. U…
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…
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…
On the Use of Deep Learning in Software Defect Prediction
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal +2
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the use of machine learning (ML) techniques. Yet, the existing ML-based approaches…
An Empirical Study on the Effectiveness of Data Resampling Approaches for Cross-Project Software Defect Prediction
Kwabena Ebo Bennin, Amjed Tahir, Stephen G. MacDonell +1
Crossp-roject defect prediction (CPDP), where data from different software projects are used to predict defects, has been proposed as a way to provide data for software projects th…
Does class size matter? An in-depth assessment of the effect of class size in software defect prediction
Amjed Tahir, Kwabena E. Bennin, Xun Xiao +1
In the past 20 years, defect prediction studies have generally acknowledged the effect of class size on software prediction performance. To quantify the relationship between object…
Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation
Solomon Mensah, Jacky Keung, Stephen G. MacDonell +2
Bellwether effect refers to the existence of exemplary projects (called the Bellwether) within a historical dataset to be used for improved prediction performance. Recent studies h…
Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study
Solomon Mensah, Jacky Keung, Stephen G. MacDonell +2
Context: In addressing how best to estimate how much effort is required to develop software, a recent study found that using exemplary and recently completed projects [forming Bell…
Revisiting the size effect in software fault prediction models
Amjed Tahir, Kwabena E. Bennin, Stephen G. MacDonell +1
BACKGROUND: In object oriented (OO) software systems, class size has been acknowledged as having an indirect effect on the relationship between certain artifact characteristics, ca…