دورية أكاديمية
Research on computer static software defect detection system based on big data technology
| العنوان: | Research on computer static software defect detection system based on big data technology |
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| المؤلفون: | Li Zhaoxia, Zhu Jianxing, Arumugam K., Bhola Jyoti, Neware Rahul |
| المصدر: | Journal of Intelligent Systems, Vol 31, Iss 1, Pp 1055-1064 (2022) |
| بيانات النشر: | De Gruyter, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Science LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | software defect prediction, detection system, big data technology, static software, software evolution, Science, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | To study the static software defect detection system, based on the traditional static software defect detection system design, a new static software defect detection system design based on big data technology is proposed. The proposed method can optimize the distribution of test resources and improve the quality of software products by predicting the potential defect program modules and design the software and hardware of the static software defect detection system of big data technology. It is found that the traditional static software defect detection system design based on code source data takes a long time, averaging 65 h /day. However, the traditional static software defect detection system based on deep learning has a short detection time, averaging 35 h/day. In this article, the detection time of the static software defect detection system based on big data is shorter than that of the other two traditional system designs, with an average of 15 h/day. Because the system design adjusts the operating state of the system, it improves the accuracy of data operation. On the premise of data collection, the system inspection research is completed, which ensures the operational safety of software data, alleviates the contradiction between system and data to a high degree, improves the efficiency of system operation, reduces unnecessary operations, further shortens the time required for inspection, improves the system performance, and has higher research and operation value. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2191-026X |
| العلاقة: | https://doaj.org/toc/2191-026XTest |
| DOI: | 10.1515/jisys-2021-0260 |
| الوصول الحر: | https://doaj.org/article/3294cef11c4f44d8a27f18b5c493ee6bTest |
| رقم الانضمام: | edsdoj.3294cef11c4f44d8a27f18b5c493ee6b |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2191026X |
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| DOI: | 10.1515/jisys-2021-0260 |