- 期刊
- OpenAccess
An Entropy-based Complexity Measure for Web Applications Using Structural Information
並列摘要
Web applications tend to get more change requests, evolve faster, and have shorter life-cycles than general applications. However, there are few systematic approaches dealing with their development and management, which results in a degrading structural quality and high maintenance costs. Complexity is a measure that is closely related to maintainability, understandability, and testing efforts. Most of the existing complexity measures for the web are count-based, and they provide a biased view of WAs. Therefore, it is necessary to define another complementary complexity notion. In this paper, entropy-based complexity measures, WCOXIN and WCOXOUT, are proposed for web applications, with a model which is defined using pages, relations, and parameter information. Entropy, which is connected to a system's average information quantity, can be used as a metric of software aging and structural degradation. Several experiments are conducted to show the effectiveness of the proposed complexity measure, using WANA, a tool especially developed for the experiments. The experimental results reveal that the proposed WCOXIN and WCOXOUT measures effectively reflect the structural changes of web applications, which are not considered by count-based complexity measures.
延伸閱讀
- 姜冠毅（2015）。An entropy-based approach for tuning exploration rate of reinforcement learning〔碩士論文，國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201614041577
- Lan, C. W. (2008). An Epsilon-Optimization Approach on QoS-Based Web Services Selection [doctoral dissertation, National Central University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917352756
- Shlomi, Y. (2014). Subjective Integration of Probabilistic Information from Experience and Description. Judgment and Decision Making, 9(5), 491-499. https://www.airitilibrary.com/Article/Detail?DocID=19302975-201409-201502030031-201502030031-491-499
- Kamthan, P., & Shahmir, N. (2010). A Model for Characterizing the Salient Directions of Evolution in the Engineering of Web Applications. Communications of the IBIMA, 10(), e1-20. https://doi.org/10.5171/2010.306853
- 劉建志（2022）。Study of Error Compensation for In-Memory Computing Applications〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu202201422