118 citations · 145 across the 28 of their papers we have counts for
28 papers
Do Stack Overflow Answer Edits Occur Beyond Java? A Replication on Python and JavaScript
Chaiyong Ragkhitwetsagul, In-on Wiratsin, Matheus Paixao +3
Stack Overflow answers are continually revised by the community, and the edits made to their code snippets are a potential source of improvements for code that has been reused in o…
When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild
Nanthit Temkulkiat, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul +2
The rapid adoption of AI coding agents is fundamentally shifting software developers' roles from code authors to code reviewers. While developers spend a significant portion of the…
Quantifying Competitive Relationships Among Open-Source Software Projects
Yuki Takei, Toshiaki Aoki, Chaiyong Ragkhitwetsagul
Throughout the history of software, evolution has occurred in cycles of rise and fall driven by competition, and open-source software (OSS) is no exception. This cycle is accelerat…
Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Chayanid Termphaiboon, Raula Gaikovina Kula, Youmei Fan +4
Security policies, such as SECURITY.md files, are now common in open-source projects. They help guide responsible vulnerability reporting and build trust among users and contributo…
AILINKPREVIEWER: Enhancing Code Reviews with LLM-Powered Link Previews
Panya Trakoolgerntong, Tao Xiao, Masanari Kondo +4
Code review is a key practice in software engineering, where developers evaluate code changes to ensure quality and maintainability. Links to issues and external resources are ofte…
The Impact of COVID-19 and Remote Work on Software Development in Thailand
Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Srisupa Palakvangsa-Na-Ayudhya +2
The COVID-19 pandemic impacted the way of working, including software development. During the pandemic, software companies were forced to work remotely, and many companies have bee…
PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects
Rujiphart Charatvaraphan, Bunradar Chatchaiyadech, Thitirat Sukijprasert +5
Assessing developer proficiency in open-source software (OSS) projects is essential for understanding project dynamics, especially for expertise. This paper presents PyGress, a web…
An Empirical Study of Java Code Improvements Based on Stack Overflow Answer Edits
In-on Wiratsin, Chaiyong Ragkhitwetsagul, Matheus Paixao +3
Suboptimal code is prevalent in software systems. Developers often write low-quality code due to factors like technical knowledge gaps, insufficient experience, time pressure, mana…
Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer
Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chayanee Junplong +1
Recent studies highlight various machine learning (ML)-based techniques for code clone detection, which can be integrated into developer tools such as static code analysis. With th…
Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
Prachnachai Meakpaiboonwattana, Warittha Tarntong, Thai Mekratanavorakul +6
Social media platforms have become more influential than traditional news sources, shaping public discourse and accelerating the spread of information. With the rapid advancement o…
How the Misuse of a Dataset Harmed Semantic Clone Detection
Jens Krinke, Chaiyong Ragkhitwetsagul
BigCloneBench is a well-known and widely used large-scale dataset for the evaluation of recall of clone detection tools. It has been beneficial for research on clone detection and…
Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning
Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chommakorn Sontesadisai +1
In-context learning (ICL) has emerged as a powerful capability of large language models (LLMs), enabling them to perform new tasks based on a few provided examples without explicit…
On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub
Sushawapak Kancharoendee, Thanat Phichitphanphong, Chanikarn Jongyingyos +5
Open-source projects are essential to software development, but publicly disclosing vulnerabilities without fixes increases the risk of exploitation. The Open Source Security Found…
jscefr: A Framework to Evaluate the Code Proficiency for JavaScript
Chaiyong Ragkhitwetsagul, Komsan Kongwongsupak, Thanakrit Maneesawas +5
In this paper, we present jscefr (pronounced jes-cee-fer), a tool that detects the use of different elements of the JavaScript (JS) language, effectively measuring the level of pro…
Towards Identifying Code Proficiency through the Analysis of Python Textbooks
Ruksit Rojpaisarnkit, Gregorio Robles, Raula Gaikovina Kula +4
Python, one of the most prevalent programming languages today, is widely utilized in various domains, including web development, data science, machine learning, and DevOps. Recent…
Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks
Chaiyong Ragkhitwetsagul, Veerakit Prasertpol, Natanon Ritta +3
At present, code recommendation tools have gained greater importance to many software developers in various areas of expertise. Having code recommendation tools has enabled better…
Studying the association between Gitcoin's issues and resolving outcomes
Morakot Choetkiertikul, Arada Puengmongkolchaikit, Pandaree Chandra +5
The development of open-source software (OSS) projects usually have been driven through collaborations among contributors and strongly relies on volunteering. Thus, allocating soft…
Mining the Characteristics of Jupyter Notebooks in Data Science Projects
Morakot Choetkiertikul, Apirak Hoonlor, Chaiyong Ragkhitwetsagul +6
Nowadays, numerous industries have exceptional demand for skills in data science, such as data analysis, data mining, and machine learning. The computational notebook (e.g., Jupyte…
Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems
Pattarakrit Rattanukul, Chansida Makaranond, Pumipat Watanakulcharus +5
The microservice software architecture is more scalable and efficient than its monolithic predecessor. Despite its increasing adoption, microservices might expose security concerns…
SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries
Hong Jin Kang, Pattarakrit Rattanukul, Stefanus Agus Haryono +4
Many modern software systems are enabled by deep learning libraries such as TensorFlow and PyTorch. As deep learning is now prevalent, the security of deep learning libraries is a…
Recommending Code Improvements Based on Stack Overflow Answer Edits
Chaiyong Ragkhitwetsagul, Matheus Paixao
Background: Sub-optimal code is prevalent in software systems. Developers may write low-quality code due to many reasons, such as lack of technical knowledge, lack of experience, t…
pycefr: Python Competency Level through Code Analysis
Gregorio Robles, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul +3
Python is known to be a versatile language, well suited both for beginners and advanced users. Some elements of the language are easier to understand than others: some are found in…
Mining and Classifying Privacy and Data Protection Requirements in Issue Reports
Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul +2
Digital and physical footprints are a trail of user activities collected over the use of software applications and systems. As software becomes ubiquitous, protecting user privacy…
FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt
Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong +6
Self-Admitted Technical Debt (SATD) is a special form of technical debt in which developers intentionally record their hacks in the code by adding comments for attention. Here, we…