TY - GEN
T1 - A Quantitative Measurement Method of Code Quality Evaluation Indicators based on Data Mining
AU - Shao, Yikang
AU - Liu, Wu
AU - Ai, Jun
AU - Yang, Chunhui
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Software Code Quality Measurement is a systematic subject with a long history and rich theory. Since the 1960s, a large number of academic research on software code quality measurement methods have been generated. Many scholars have proposed software code quality measurement indicators and measurement methods, and given the measurement trend of evaluation indicators, and proposed a model to measure software quality. However, there are still some blanks in the quantitative evaluation of software code quality evaluation index. The software code quality measurement system is not complete enough to cover all aspects of software code quality from multiple perspectives. In addition, most studies have measured software code quality based on code inspection or code review, which has some limitations. This paper puts forward a software code quality evaluation system based on software network. On this basis, this paper proposes a quantitative measurement method of code quality evaluation indicators based on data mining. It provides a new idea for software quality evaluation or code quality evaluation.
AB - Software Code Quality Measurement is a systematic subject with a long history and rich theory. Since the 1960s, a large number of academic research on software code quality measurement methods have been generated. Many scholars have proposed software code quality measurement indicators and measurement methods, and given the measurement trend of evaluation indicators, and proposed a model to measure software quality. However, there are still some blanks in the quantitative evaluation of software code quality evaluation index. The software code quality measurement system is not complete enough to cover all aspects of software code quality from multiple perspectives. In addition, most studies have measured software code quality based on code inspection or code review, which has some limitations. This paper puts forward a software code quality evaluation system based on software network. On this basis, this paper proposes a quantitative measurement method of code quality evaluation indicators based on data mining. It provides a new idea for software quality evaluation or code quality evaluation.
KW - Code Evaluation System
KW - Data Mining
KW - Software Code Quality Measurement
KW - Software Network
UR - https://www.scopus.com/pages/publications/85141388770
U2 - 10.1109/DSA56465.2022.00094
DO - 10.1109/DSA56465.2022.00094
M3 - 会议稿件
AN - SCOPUS:85141388770
T3 - Proceedings - 2022 9th International Conference on Dependable Systems and Their Applications, DSA 2022
SP - 659
EP - 669
BT - Proceedings - 2022 9th International Conference on Dependable Systems and Their Applications, DSA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Dependable Systems and Their Applications, DSA 2022
Y2 - 4 August 2022 through 5 August 2022
ER -