Software Quality Metrics Calculations for Java Programming Learning Assistant System
| Autor: | Hsu Wai Hnin, Nobuo Funabiki, Khin Yadanar Kyaw, Khin Khin Zaw |
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| Rok vydání: | 2020 |
| Předmět: |
Source code
Correctness Java Programming language Computer science business.industry media_common.quotation_subject JPLAS JUnit computer.software_genre test code Software metric Software code writing problem Plug-in business computer Software measurement Eclipse media_common computer.programming_language |
| Zdroj: | 2020 IEEE Conference on Computer Applications(ICCA). |
| DOI: | 10.1109/icca49400.2020.9022823 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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