A novel approach to describing and detecting performance anti-patterns

2nd Annual International Conference on Information System and Artificial Intelligence

物理学;计算机科学

Sheng, Jinfang^1 ; Wang, Yihan^1 ; Hu, Peipei^1 ; Wang, Bin^1

School of Information Science and Engineering, Central South University, Changsha

410083, China^1

关键词: Anti-patterns;    Application systems;    Bayesian classification;    E-commerce systems;    False negatives;    False positive;    First order;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/887/1/012019/pdf
DOI  :  10.1088/1742-6596/887/1/012019

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Anti-pattern, as an extension to pattern, describes a widely used poor solution which can bring negative influence to application systems. Aiming at the shortcomings of the existing anti-pattern descriptions, an anti-pattern description method based on first order predicate is proposed. This method synthesizes anti-pattern forms and symptoms, which makes the description more accurate and has good scalability and versatility as well. In order to improve the accuracy of anti-pattern detection, a Bayesian classification method is applied in validation for detection results, which can reduce false negatives and false positives of anti-pattern detection. Finally, the proposed approach in this paper is applied to a small e-commerce system, the feasibility and effectiveness of the approach is demonstrated further through experiments.