面向可靠性预计的软件运行时行为模型构造方法

李秋英; 陆民燕; 古廷阳

doi:10.13700/j.bh.1001-5965.2020.0680

面向可靠性预计的软件运行时行为模型构造方法

doi: 10.13700/j.bh.1001-5965.2020.0680

李秋英^{1, 2, ,},
陆民燕^{1, 2},
古廷阳^{1, 2}

1.
北京航空航天大学可靠性与系统工程学院, 北京 100083
2.
可靠性与环境工程技术国防科技重点实验室，北京 100086

基金项目:

国防科技重点实验室稳定支持项目 WDZC2019601A303

详细信息

通讯作者:
李秋英，E-mail: li_qiuying@buaa.edu.cn

中图分类号: TP311
计量
- 文章访问数: 451
- HTML全文浏览量: 162
- PDF下载量: 33
- 被引次数: 0
出版历程
- 收稿日期: 2020-12-04
- 录用日期: 2021-04-02
- 网络出版日期: 2022-05-20

Construction method of software runtime behavior model for reliability prediction

LI Qiuying^{1, 2
, ,},
LU Minyan^{1, 2},
GU Tingyang^{1, 2}

1.
School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China
2.
National Defense Key Laboratory on Reliability & Environmental Engineering, Beijing 100086, China

Funds:

National Defense Key Laboratory Support Program WDZC2019601A303

More Information

Corresponding author: LI Qiuying, E-mail: li_qiuying@buaa.edu.cn

摘要

摘要:
运行时行为模型构造是面向可靠性预计的软件运行时模型构造的组成部分，为软件可靠性预计提供运行时组件与组件之间的动态交互关系和状态之间的转移概率信息。基于Java开发平台提出了一种基于非侵入式监控的软件运行时行为模型的构造方法，包括获得当前时刻的运行时体系结构模型；根据运行时体系结构模型确定监控对象；声明监控方法中的代理Bean；声明监控方法中的监控Bean，实现对组件动态调用信息的提取；声明代理Bean和监控Bean的接口；基于模型构造算法实现对运行时行为模型的构造等步骤。基于Rainbow-znn软件进行了实例应用，验证了所提方法的可行性。
- 软件可靠性 /
- 非侵入式监控 /
- 运行时行为模型 /
- 组件动态调用信息 /
- 运行时体系结构模型
Abstract:
Runtime behavior model construction is a component of software runtime model construction oriented to reliability prediction. It provides runtime component-to-component dynamic interaction relationship and state transition probability information for software reliability prediction. Based on Java development platform, a construction method of software runtime behavior model based on non-intrusive monitoring is proposed, including the following steps: obtaining the current runtime architecture model; determining the monitoring objects according to the runtime architecture model; declaring the proxy Bean in the monitoring method; declaring the monitoring Bean to realize the extraction of the dynamic component interaction information; declaring the interface between the proxy Bean and the monitoring Bean; based on the construction algorithm, the runtime behavior model is constructed. Finally, based on the Rainbow-znn software, an example is carried out, which verified the feasibility of this method.
- software reliability /
- non-intrusive monitoring /
- runtime behavior model /
- dynamic component interaction information /
- runtime architecture model

HTML全文

图 1 代理Bean和监控Bean获取组件运行时信息的顺序图

Figure 1. Sequence diagram of proxy Bean and monitoring Bean achieving runtime component information

下载: 全尺寸图片幻灯片

图 2 客户端访问EJB过程

Figure 2. Process diagram of client accessing EJB

下载: 全尺寸图片幻灯片

图 3 实验环境部署

Figure 3. Deployment of experimental environment

下载: 全尺寸图片幻灯片

图 4 运行时体系结构快照

Figure 4. Runtime architecture snapshot of rainbow-znn

下载: 全尺寸图片幻灯片

图 5 部分监控信息记录

Figure 5. Record of partial monitoring information

下载: 全尺寸图片幻灯片

图 6 未标注转移模式的运行时行为模型

Figure 6. Runtime behavior model without transition mode marked

下载: 全尺寸图片幻灯片

图 7 标注了转移模式的运行时行为模型

Figure 7. Runtime behavior model with transition mode marked

下载: 全尺寸图片幻灯片

表 1 XML文件的关键字及说明

Table 1. Keywords and statements for XML file

关键字	说明
InvokeInformation	调用信息
ComponentName	发起调用的组件名称
ClassName	类的名称或接口的名称
MethodName	方法名称
ReturnType	返回类型
ParameterType	参数类型
EventName	事件名称

下载: 导出CSV

参考文献(23)

[1]	PARNAS D. The influence of software structure on reliability[J]. ACM SIGPLAN Notices, 1975, 10(6): 358-362. doi: 10.1145/390016.808458
[2]	SHOOMAN M L. Structural models for software reliability prediction[C]//Proceedings of the 2nd International Conference on Software Engineering. Piscataway: IEEE Press, 1976: 268-280.
[3]	LITTLEWOOD B. A reliability model for systems with Markov structure[J]. Journal of the Royal Statistical Society Series C (Applied Statistics), 1975, 24(2): 172-177.
[4]	CHEUNG R C. A user-oriented software reliability model[J]. IEEE Transactions on Software Engineering, 1980, 6(2): 118-125.
[5]	KUBAT P. Assessing reliability of modular software[J]. Operations Research Letters, 1989, 8(1): 35-41. doi: 10.1016/0167-6377(89)90031-X
[6]	KRISHNAMURTHY S, MATHUR A P. On the estimation of reliability of a software system using reliabilities of its components[C]//Proceedings of the 8th International Symposium on Software Reliability Engineering. Piscataway: IEEE Press, 1997: 146-153.
[7]	YACOUB S, CUKIC B, AMMAR H. A scenario-based reliability analysis approach for component-based software[J]. IEEE Transactions on Reliability, 2004, 53(4): 465-480. doi: 10.1109/TR.2004.838034
[8]	YACOUB S, AMMAR H. A methodology for architecture-level reliability risk analysis[J]. IEEE Transactions on Software Engineering, 2002, 28(6): 529-547. doi: 10.1109/TSE.2002.1010058
[9]	HEINRICH R. Architectural run-time models for performance and privacy analysis in dynamic cloud applications[J]. Performance Evaluation Review, 2016, 43(4): 13-22. doi: 10.1145/2897356.2897359
[10]	OREIZY P, MEDVIDOVIC N, TAYLOR R N. Architecture-based runtime software evolution[C]//Proceedings of the 20th International Conference on Software Engineering. Piscataway: IEEE Press, 1998: 177-186.
[11]	BLAIR G, BENCOMO N, FRANCE B. Models@run. time[J]. Computer, 2009, 42(10): 22-27. doi: 10.1109/MC.2009.326
[12]	HEINRICH R, JUNG R, SCHMIEDERS E, et al. Architectural run-time models for operator-in-the-loop adaptation of cloud applications[C]//2015 IEEE 9th Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-based Environments. Piscataway: IEEE Press, 2015: 36-40.
[13]	黄罡, 梅宏, 杨芙清, 等. 基于软件体系结构的反射式中间件研究[J]. 软件学报, 2003, 14(11): 1819-1826. https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB200311000.htm HUANG G, MEI H, YANG F Q, et al. Research on architecture-based reflective middleware[J]. Journal of Software, 2003, 14(11): 1819-1826(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB200311000.htm
[14]	LEMOS R D, GIESE H, MVLLER H A, et al. Software engineering for self-adaptive systems: A second research roadmap[M]. Berlin: Springer, 2013: 1-32.
[15]	SZVETITS M, ZDUN U. Systematic literature review of the objectives, techniques, kinds, and architectures of models at runtime[J]. Software & Systems Modeling, 2016, 15(1): 31-69.
[16]	LEHMANN G, BLUMENDORF M, TROLLMANN F, et al. Meta-modeling runtime models[C]//Proceedings of the 2010 International Conference on Models in Software Engineering. Berlin: Springer, 2010: 209-223.
[17]	BENCOMO N, FRANCE R, CHENG B, et al. Models@run. time: Foundations, applications, and roadmaps[M]. Berlin: Springer, 2014: 47-100.
[18]	HUANG A, GARLAN D, SCHMERL B. Rainbow: Architecture-based self-adaptation with reusable infrastructure[C]//Proceedings of the 1st International Conference on Autonomic Computing. Piscataway: IEEE Press, 2004: 46-55.
[19]	宋晖, 黄罡, 武义涵, 等. 运行时软件体系结构的建模与维护[J]. 软件学报, 2013, 24(8): 1731-1745. https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201308004.htm SONG H, HUANG G, WU Y H, et al. Modeling and maintaining runtime software architectures[J]. Journal of Software, 2013, 24(8): 1731-1745(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201308004.htm
[20]	B AU'U R M, SZILÁGVI G, VÖRÖS A, et al. Distributed graph queries for runtime monitoring of cyber-physical systems[C]//International Conference on Fundamental Approaches to Software Engineering. Berlin: Springer, 2018: 111-128.
[21]	MOS A, MURPHY J. Performance management in component-oriented systems using a model driven architecture approach[C]//Proceedings of the 6th International Enterprise Distributed Object Computing Conference. Piscataway: IEEE Press, 2002: 227-237.
[22]	MOS A, MURPHY J. Performance monitoring of Java component-oriented distributed applications[C]//9th International Conference on Software, Telecommunication & Computer Networks. Piscataway: IEEE Press, 2001: 123-129.
[23]	CHENG S W. Rainbow: Cost-effective software architecture-based self-adaptation[D]. Pittsburgh: Carnegie Mellon University, 2008.