jscefr: A Tool to Evaluate the Code Proficiency for JavaScript (ICSME 2024 - Tool Demo Track)

Who

Chaiyong Ragkhitwetsagul, Komsan Kongwongsupak, Thanakrit Maneesawas, Natpichsinee Puttiwarodom, Ruksit Rojpaisarnkit, Morakot Choetkiertikul, Raula Gaikovina Kula, Thanwadee Sunetnanta

Track

ICSME 2024 Tool Demo Track

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When

Wed 9 Oct 2024 15:45 - 15:55 at Abineau - Session 5: Software Analytics and Metrics

Abstract

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 code in software maintenance tasks. Based on the pycefr tool, the tool incorporates JavaScript elements and the well-known Common European Framework of Reference for Languages (CEFR) and utilizes the official ECMAScript JavaScript documentation from the Mozilla Developer Network. jscefr categorizes JS code into six levels based on proficiency. jscefr can detect and classify 138 different JavaScript code constructs. To evaluate, we apply our tool to three JavaScript projects of the NPM ecosystem, with interesting results. A video demonstrating the tool’s availability and usage is available at this URL: https://youtu.be/Ehh-Prq59Pc

Link to Preprint

https://arxiv.org/abs/2408.16452

Chaiyong Ragkhitwetsagul

Mahidol University

Thailand

Komsan Kongwongsupak

Mahidol University

Thailand

Thanakrit Maneesawas

Mahidol University

Thailand

Natpichsinee Puttiwarodom

Mahidol University

Thailand

Ruksit Rojpaisarnkit

Nara Institute of Science and Technology

Japan

Morakot Choetkiertikul

Mahidol University, Thailand

Thailand

Raula Gaikovina Kula

Nara Institute of Science and Technology

Japan

Thanwadee Sunetnanta

Mahidol University

Thailand

This program is tentative and subject to change.

Time Zone

The program is currently displayed in (GMT-06:00) Mountain Time (US & Canada).

Use conference time zone: (GMT-06:00) Mountain Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

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Session Program

Wed 9 Oct
Displayed time zone: Mountain Time (US & Canada) change

15:30 - 17:00	Session 5: Software Analytics and MetricsTool Demo Track / Research Track / Journal First Track / Industry Track at Abineau

15:30 15m		Encoding Domain Knowledge in Log AnalysisResearch Track Paper Research Track Filip Zamfirov , Dennis Dams , Mazyar Seraj Eindhoven University of Technology, Alexander Serebrenik Eindhoven University of Technology
15:45 10m Demonstration		jscefr: A Tool to Evaluate the Code Proficiency for JavaScriptTool Demo Paper Tool Demo Track Chaiyong Ragkhitwetsagul Mahidol University, Komsan Kongwongsupak Mahidol University, Thanakrit Maneesawas Mahidol University, Natpichsinee Puttiwarodom Mahidol University, Ruksit Rojpaisarnkit Nara Institute of Science and Technology, Morakot Choetkiertikul Mahidol University, Thailand, Raula Gaikovina Kula Nara Institute of Science and Technology, Thanwadee Sunetnanta Mahidol University Pre-print
15:55 15m		The Effectiveness of Compact Fine-Tuned LLMs for Log ParsingResearch Track Paper Research Track Maryam Mehrabi , Wahab Hamou-Lhadj Concordia University, Montreal, Canada, Hossein Moosavi
16:10 15m		Software development metrics: to VR or not to VR?J1C2 Paper Journal First Track David Moreno-Lumbreras Universidad Rey Juan Carlos, Gregorio Robles Universidad Rey Juan Carlos, Daniel Izquierdo-Cortazar Bitergia, Jesus M. Gonzalez-Barahona Universidad Rey Juan Carlos
16:25 15m		Ghost Echoes Revealed: Benchmarking Maintainability Metrics and Machine Learning Predictions Against Human AssessmentsIndustry Track Paper Industry Track Markus Borg CodeScene, Marwa Ezzouhri University of Clermont Auvergne, Adam Tornhill Codescene AB Pre-print
16:40 15m		An empirical investigation of the relationship between pattern grime and code smellsJ1C2 Paper Journal First Track Maha Alharbi KFUPM, Mohammad Alshayeb King Fahd University of Petroleum & Minerals