@inproceedings{226f727b9ebf478a94b82be7e8eb3cf0,
title = "Software Quality Metrics Calculations for Java Programming Learning Assistant System",
abstract = "A Web-based Java Programming Learning Assistant System (JPLAS) has been proposed to assist Java programming educations in universities. In the code writing problem, the correctness of an answer code from a student is verified by running the test code on JUnit. Besides, their quality should be measured using the metrics to assess them. The currently using plugin could only be measured on eclipse for offline answering in JPLAS. To calculate the metrics and implement in web-based JPLAS, there are several equations that have been reported. In this paper, we find the proper equations to calculate the metrics that provide the same results as from Eclipse plugin. The application results for 45 source codes showed that the adopted metrics equations provide the same results as the plugin.",
keywords = "JPLAS, JUnit, code writing problem, test code",
author = "Zaw, {Khin Khin} and Hnin, {Hsu Wai} and Kyaw, {Khin Yadanar} and Nobuo Funabiki",
year = "2020",
month = feb,
doi = "10.1109/ICCA49400.2020.9022823",
language = "English",
series = "2020 IEEE Conference on Computer Applications, ICCA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE Conference on Computer Applications, ICCA 2020",
note = "2020 IEEE Conference on Computer Applications, ICCA 2020 ; Conference date: 27-02-2020 Through 28-02-2020",
}