14 papers
Detection of LLM-assisted Code Plagiarism Using k-gram Software Birthmarks
Nikolay Fedorov, Akito Monden, Hiroki Inayoshi +2
Large language models (LLMs) have significantly lowered the technical barrier to software plagiarism. By transforming existing source code while preserving its functionality, moder…
Project-wise Comparison of Software Birthmarks Using Weighted Partial Similarity
Nikolay Fedorov, Akito Monden, Hiroki Inayoshi +2
Software birthmarks provide a robust approach to detecting code plagiarism even under substantial modifications, while distinguishing independently developed software. Existing sim…
A feasibility study on filtering low-accessibility web pages considering color vision deficiency
Ryota Mizutani, Shiori Nakayama, Masateru Tsunoda
Recently, the importance of universal design has increased. Color universal design (CUD) is one type of universal design that takes people with color vision deficiency (CVD) into c…
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…
Analyzing and Calibrating Risk Assessment by Software Developers
Yukasa Murakami, Masateru Tsunoda, Eduardo C. Campos
In software project management, risk management is a critical factor. Project managers use existing lists of risk or perform brainstorming to identify the risks. However, it is not…
Relationship between Gender and Code Reading Speed in Software Development
Yuriko Takatsuka, Yukasa Murakami, Masateru Tsunoda +1
Recently, workforce shortage has become a popular issue in information technology (IT). One solution to increasing the workforce supply is to increase the number of female IT profe…
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…
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…