With the rapid progress of component technology,the software development methodology of gathering a large number of components for designing complex software systems has matured.But,how to assess the application relia...With the rapid progress of component technology,the software development methodology of gathering a large number of components for designing complex software systems has matured.But,how to assess the application reliability accurately with the information of system architecture and the components reliabilities together has become a knotty problem.In this paper,the defects in formal description of software architecture and the limitations in existed model assumptions are both analyzed.Moreover,a new software reliability model called Component Interaction Mode(CIM) is proposed.With this model,the problem for existed component-based software reliability analysis models that cannot deal with the cases of component interaction with non-failure independent and non-random control transition is resolved.At last,the practice examples are presented to illustrate the effectiveness of this model.展开更多
Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture(SA) based software deployment mo...Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture(SA) based software deployment models help to analyze reliability of different deployments.Though many approaches for architecture-based reliability estimation exist,little work has incorporated the influence of system deployment and hardware resources into reliability estimation.There are many factors influencing system deployment.By translating the multi-dimension factors into degree matrix of component dependence,we provide the definition of component dependence and propose a method of calculating system reliability of deployments.Additionally,the parameters that influence the optimal deployment may change during system execution.The existing software deployment architecture may be ill-suited for the given environment,and the system needs to be redeployed to improve reliability.An approximate algorithm,A*_D,to increase system reliability is presented.When the number of components and host nodes is relative large,experimental results show that this algorithm can obtain better deployment than stochastic and greedy algorithms.展开更多
Software today often consists of a large number of components offering and requiring services. Such components should be deployed into embedded, pervasive environments, and several deployment architectures are typical...Software today often consists of a large number of components offering and requiring services. Such components should be deployed into embedded, pervasive environments, and several deployment architectures are typically possible. These deployment architectures can have significant impacts on system reliability. However, existing reliability estimation approaches are typically limited to certain classes or exclusively concentrate on software reliability, neglecting the influence of hardware resources, software deployment and architectural styles. The selection of an appropriate architectural style has a significant impact on system reliability of the target system. Therefore, we propose a novel software architecture （SA） based reliability estimation model incorporating software deployment and architectural style. On the basis of two architectural styles, we design influence factors and present a new approach to calculate system reliability. Experimental results show that influence factors provide an accurate and simple method of reflecting architectural styles and software deployment on system reliability. It is important for considering the influence of other architectural styles on system reliability in large scale deployment environment.展开更多
In the software landscape,understanding component impacts on system reliability is pivotal,especially given the unique complexities of modern software systems.This paper presents a model tailored for software reliabil...In the software landscape,understanding component impacts on system reliability is pivotal,especially given the unique complexities of modern software systems.This paper presents a model tailored for software reliability assessment.Our approach introduces the“component influence”to measure a single component’s effect on overall system reliability.Additionally,we adapt a state transition model to cater to the diverse architectures of software systems.Using a discrete-time Markov chain,we predict software reliability.We test our model on an actual software system,finding it notably accurate and superior to existing methods.Our work offers a promising direction for those venturing into software reliability enhancement.展开更多
In view of the current reliability evaluation requirements of warship equipment based on component, this paper comprehensively considered the characteristics of components,and the component identification method, stru...In view of the current reliability evaluation requirements of warship equipment based on component, this paper comprehensively considered the characteristics of components,and the component identification method, structural decomposition method,component architecture modeling method were studied for warship equipment software. Based on the characteristics of warship equipment component, this paper proposed a formal modeling language based on Petri nets to realize the modeling of component software architecture and laid a foundation for the reliability evaluation method research of warship equipment component.展开更多
对环境的适应是软件保证其可信的重要手段.当应用场景超出开发阶段的预设时,软件的环境适应能力需要能够在线调整,以保证其行为和结果仍可符合用户预期.这一调整的前提是软件工程层面的高效支持机制.基于关注点分离原则和动态软件体系...对环境的适应是软件保证其可信的重要手段.当应用场景超出开发阶段的预设时,软件的环境适应能力需要能够在线调整,以保证其行为和结果仍可符合用户预期.这一调整的前提是软件工程层面的高效支持机制.基于关注点分离原则和动态软件体系结构技术,提出了一种支持软件环境适应能力细粒度在线调整的构件模型ACOE(adaptive component model for open environment).ACOE将软件环境适应能力中的感知、决策、执行等关注点封装为独立的构件和连接子,通过动态软件体系结构技术来支持它们的在线重配置,从而使第三方可在必要时通过有选择性的更新来调整适应能力.实现了支持ACOE构件模型的容器原型,并通过实验验证了其有效性.展开更多
基金Supported by the National Natural Science Foundation of China (No. 60873195,60873003,and 61070220)the Doctoral Foundation of Ministry of Education (No.20090111110002)
文摘With the rapid progress of component technology,the software development methodology of gathering a large number of components for designing complex software systems has matured.But,how to assess the application reliability accurately with the information of system architecture and the components reliabilities together has become a knotty problem.In this paper,the defects in formal description of software architecture and the limitations in existed model assumptions are both analyzed.Moreover,a new software reliability model called Component Interaction Mode(CIM) is proposed.With this model,the problem for existed component-based software reliability analysis models that cannot deal with the cases of component interaction with non-failure independent and non-random control transition is resolved.At last,the practice examples are presented to illustrate the effectiveness of this model.
基金Supported by the High Technology Research and Development Program of China(No.2008AA01A201)National High Technology Research,Development Plan of China (No.2006AA01A103)the High Technology Research and Development Program of China(No.2009AA01A404)
文摘Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture(SA) based software deployment models help to analyze reliability of different deployments.Though many approaches for architecture-based reliability estimation exist,little work has incorporated the influence of system deployment and hardware resources into reliability estimation.There are many factors influencing system deployment.By translating the multi-dimension factors into degree matrix of component dependence,we provide the definition of component dependence and propose a method of calculating system reliability of deployments.Additionally,the parameters that influence the optimal deployment may change during system execution.The existing software deployment architecture may be ill-suited for the given environment,and the system needs to be redeployed to improve reliability.An approximate algorithm,A*_D,to increase system reliability is presented.When the number of components and host nodes is relative large,experimental results show that this algorithm can obtain better deployment than stochastic and greedy algorithms.
文摘Software today often consists of a large number of components offering and requiring services. Such components should be deployed into embedded, pervasive environments, and several deployment architectures are typically possible. These deployment architectures can have significant impacts on system reliability. However, existing reliability estimation approaches are typically limited to certain classes or exclusively concentrate on software reliability, neglecting the influence of hardware resources, software deployment and architectural styles. The selection of an appropriate architectural style has a significant impact on system reliability of the target system. Therefore, we propose a novel software architecture （SA） based reliability estimation model incorporating software deployment and architectural style. On the basis of two architectural styles, we design influence factors and present a new approach to calculate system reliability. Experimental results show that influence factors provide an accurate and simple method of reflecting architectural styles and software deployment on system reliability. It is important for considering the influence of other architectural styles on system reliability in large scale deployment environment.
基金funded by Taif University,Saudi Arabia(No.TU-DSPP-2024-41).
文摘In the software landscape,understanding component impacts on system reliability is pivotal,especially given the unique complexities of modern software systems.This paper presents a model tailored for software reliability assessment.Our approach introduces the“component influence”to measure a single component’s effect on overall system reliability.Additionally,we adapt a state transition model to cater to the diverse architectures of software systems.Using a discrete-time Markov chain,we predict software reliability.We test our model on an actual software system,finding it notably accurate and superior to existing methods.Our work offers a promising direction for those venturing into software reliability enhancement.
文摘In view of the current reliability evaluation requirements of warship equipment based on component, this paper comprehensively considered the characteristics of components,and the component identification method, structural decomposition method,component architecture modeling method were studied for warship equipment software. Based on the characteristics of warship equipment component, this paper proposed a formal modeling language based on Petri nets to realize the modeling of component software architecture and laid a foundation for the reliability evaluation method research of warship equipment component.
文摘对环境的适应是软件保证其可信的重要手段.当应用场景超出开发阶段的预设时,软件的环境适应能力需要能够在线调整,以保证其行为和结果仍可符合用户预期.这一调整的前提是软件工程层面的高效支持机制.基于关注点分离原则和动态软件体系结构技术,提出了一种支持软件环境适应能力细粒度在线调整的构件模型ACOE(adaptive component model for open environment).ACOE将软件环境适应能力中的感知、决策、执行等关注点封装为独立的构件和连接子,通过动态软件体系结构技术来支持它们的在线重配置,从而使第三方可在必要时通过有选择性的更新来调整适应能力.实现了支持ACOE构件模型的容器原型,并通过实验验证了其有效性.
基金supported by the National Basic Research 973 Program of China under grant No.2009CB320702the National Hi-Tech Research and Development 863 Program of China under Grant Nos.2007AA01Z178+2 种基金2007AA01Z140 and 2009AA01Z114the National Natural Science Founda-tion of China under grant Nos.60603034the JSNSF No.BK2008017
