Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ragkhitwetsagul, Chaiyong"'
Autor:
Ragkhitwetsagul, Chaiyong, Kongwongsupak, Komsan, Maneesawas, Thanakrit, Puttiwarodom, Natpichsinee, Rojpaisarnkit, Ruksit, Choetkiertikul, Morakot, Kula, Raula Gaikovina, Sunetnanta, Thanwadee
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 proficiency required to comprehend and deal with a fragment of JavaScript
Externí odkaz:
http://arxiv.org/abs/2408.16452
Autor:
Rojpaisarnkit, Ruksit, Robles, Gregorio, Kula, Raula Gaikovina, Wang, Dong, Ragkhitwetsagul, Chaiyong, Gonzalez-Barahona, Jesus M., Matsumoto, Kenichi
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 scholarly efforts have proposed a methodology to assess Python compete
Externí odkaz:
http://arxiv.org/abs/2408.02262
Autor:
Ragkhitwetsagul, Chaiyong, Jarukitpipat, Vipawan, Kula, Raula Gaikovina, Choetkiertikul, Morakot, Chhun, Klinton, Wanprasert, Wachirayana, Sunetnanta, Thanwadee
Security vulnerabilities introduced by applications using third-party dependencies are on the increase, caused by the emergence of large ecosystems of libraries such as the NPM packages for JavaScript. Nowadays, libraries depend on each other. Relyin
Externí odkaz:
http://arxiv.org/abs/2405.09074
Autor:
Ragkhitwetsagul, Chaiyong, Prasertpol, Veerakit, Ritta, Natanon, Sae-Wong, Paphon, Noraset, Thanapon, Choetkiertikul, Morakot
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 productivity and performance in developing the code in software and ma
Externí odkaz:
http://arxiv.org/abs/2405.09075
Autor:
Choetkiertikul, Morakot, Hoonlor, Apirak, Ragkhitwetsagul, Chaiyong, Pongpaichet, Siripen, Sunetnanta, Thanwadee, Settewong, Tasha, Jiravatvanich, Vacharavich, Kaewpichai, Urisayar
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., Jupyter Notebook) is a well-known data science tool adopted in practice. Kag
Externí odkaz:
http://arxiv.org/abs/2304.05325
Autor:
Rattanukul, Pattarakrit, Makaranond, Chansida, Watanakulcharus, Pumipat, Ragkhitwetsagul, Chaiyong, Nearunchorn, Tanapol, Visoottiviseth, Vasaka, Choetkiertikul, Morakot, Sunetnanta, Thanwadee
The microservice software architecture is more scalable and efficient than its monolithic predecessor. Despite its increasing adoption, microservices might expose security concerns and issues that are distinct from those associated with monolithic de
Externí odkaz:
http://arxiv.org/abs/2302.11150
Autor:
Kang, Hong Jin, Rattanukul, Pattarakrit, Haryono, Stefanus Agus, Nguyen, Truong Giang, Ragkhitwetsagul, Chaiyong, Pasareanu, Corina, Lo, David
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 key concern. Fuzzing deep learning libraries presents two challenges.
Externí odkaz:
http://arxiv.org/abs/2212.04038
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, time pressure, management decisions, and even unhappiness. Once sub-opt
Externí odkaz:
http://arxiv.org/abs/2204.06773
Autor:
Robles, Gregorio, Kula, Raula Gaikovina, Ragkhitwetsagul, Chaiyong, Sakulniwat, Tattiya, Matsumoto, Kenichi, Gonzalez-Barahona, Jesus M.
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 any kind of code, while some others are used only by experienced prog
Externí odkaz:
http://arxiv.org/abs/2203.15990
Autor:
Sangaroonsilp, Pattaraporn, Dam, Hoa Khanh, Choetkiertikul, Morakot, Ragkhitwetsagul, Chaiyong, Ghose, Aditya
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 has become challenging. With the increase of user privacy awareness an
Externí odkaz:
http://arxiv.org/abs/2112.13994