TY - GEN
T1 - Software complexity reduction by automated refactoring schema
AU - Cao, Siteng
AU - Zhao, Yongxin
AU - Shi, Ling
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - As the scale of software systems is growing rapidly, software complexity is becoming one of the main problems in software engineering. Higher complexity in software increases the potential risk and defects of software system, which makes it more difficult to analyze the correctness and improve the quality of software. In this paper, we present an automated refactoring schema to reduce the complexity of the component-based software. The main idea of our approach is to search a hierarchical software with a minimum hierarchical complexity and refactor the original software into it by reassembling several subcomponents into tightly coupled hierarchical ones. Besides, our approach can be easily adjusted to deal with some new situations, in which several types of constraints on partition of software components are given. Finally, we conduct a case study with Battery Management System (BMS) and the result demonstrates our approach can automatically and effectively reduce the structural complexity of software system.
AB - As the scale of software systems is growing rapidly, software complexity is becoming one of the main problems in software engineering. Higher complexity in software increases the potential risk and defects of software system, which makes it more difficult to analyze the correctness and improve the quality of software. In this paper, we present an automated refactoring schema to reduce the complexity of the component-based software. The main idea of our approach is to search a hierarchical software with a minimum hierarchical complexity and refactor the original software into it by reassembling several subcomponents into tightly coupled hierarchical ones. Besides, our approach can be easily adjusted to deal with some new situations, in which several types of constraints on partition of software components are given. Finally, we conduct a case study with Battery Management System (BMS) and the result demonstrates our approach can automatically and effectively reduce the structural complexity of software system.
KW - Automated refactoring
KW - Complexity reduction
KW - Structural complexity
UR - https://www.scopus.com/pages/publications/85076943993
U2 - 10.1109/TASE.2019.00005
DO - 10.1109/TASE.2019.00005
M3 - 会议稿件
AN - SCOPUS:85076943993
T3 - Proceedings - 2019 13th International Symposium on Theoretical Aspects of Software Engineering, TASE 2019
SP - 208
EP - 215
BT - Proceedings - 2019 13th International Symposium on Theoretical Aspects of Software Engineering, TASE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Symposium on Theoretical Aspects of Software Engineering, TASE 2019
Y2 - 29 July 2019 through 31 July 2019
ER -