TY - GEN
T1 - Software Quality Metrics Calculations for Java Programming Learning Assistant System
AU - Zaw, Khin Khin
AU - Hnin, Hsu Wai
AU - Kyaw, Khin Yadanar
AU - Funabiki, Nobuo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - JPLAS
KW - JUnit
KW - code writing problem
KW - test code
UR - http://www.scopus.com/inward/record.url?scp=85082395312&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082395312&partnerID=8YFLogxK
U2 - 10.1109/ICCA49400.2020.9022823
DO - 10.1109/ICCA49400.2020.9022823
M3 - Conference contribution
AN - SCOPUS:85082395312
T3 - 2020 IEEE Conference on Computer Applications, ICCA 2020
BT - 2020 IEEE Conference on Computer Applications, ICCA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Conference on Computer Applications, ICCA 2020
Y2 - 27 February 2020 through 28 February 2020
ER -