Software Quality Metrics Calculations for Java Programming Learning Assistant System

Khin Khin Zaw; Hsu Wai Hnin; Khin Yadanar Kyaw; Nobuo Funabiki

doi:10.1109/ICCA49400.2020.9022823

Software Quality Metrics Calculations for Java Programming Learning Assistant System

Khin Khin Zaw, Hsu Wai Hnin, Khin Yadanar Kyaw, Nobuo Funabiki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2020 IEEE Conference on Computer Applications, ICCA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728159256
DOIs	https://doi.org/10.1109/ICCA49400.2020.9022823
Publication status	Published - Feb 2020
Event	2020 IEEE Conference on Computer Applications, ICCA 2020 - Yangon, Myanmar Duration: Feb 27 2020 → Feb 28 2020

Publication series

Name	2020 IEEE Conference on Computer Applications, ICCA 2020

Conference

Conference	2020 IEEE Conference on Computer Applications, ICCA 2020
Country/Territory	Myanmar
City	Yangon
Period	2/27/20 → 2/28/20

Keywords

JPLAS
JUnit
code writing problem
test code

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/ICCA49400.2020.9022823

Cite this

Zaw, K. K., Hnin, H. W., Kyaw, K. Y., & Funabiki, N. (2020). Software Quality Metrics Calculations for Java Programming Learning Assistant System. In 2020 IEEE Conference on Computer Applications, ICCA 2020 [9022823] (2020 IEEE Conference on Computer Applications, ICCA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCA49400.2020.9022823

Software Quality Metrics Calculations for Java Programming Learning Assistant System. / Zaw, Khin Khin; Hnin, Hsu Wai; Kyaw, Khin Yadanar et al.

2020 IEEE Conference on Computer Applications, ICCA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9022823 (2020 IEEE Conference on Computer Applications, ICCA 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zaw, KK, Hnin, HW, Kyaw, KY & Funabiki, N 2020, Software Quality Metrics Calculations for Java Programming Learning Assistant System. in 2020 IEEE Conference on Computer Applications, ICCA 2020., 9022823, 2020 IEEE Conference on Computer Applications, ICCA 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Conference on Computer Applications, ICCA 2020, Yangon, Myanmar, 2/27/20. https://doi.org/10.1109/ICCA49400.2020.9022823

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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.",

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author = "Zaw, {Khin Khin} and Hnin, {Hsu Wai} and Kyaw, {Khin Yadanar} and Nobuo Funabiki",

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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.

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Software Quality Metrics Calculations for Java Programming Learning Assistant System

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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