Importance analysis quantifies the critical degree of individual component. Compared with the traditional binary state system,importance analysis of the multi-state system is more aligned with the practice. Because th...Importance analysis quantifies the critical degree of individual component. Compared with the traditional binary state system,importance analysis of the multi-state system is more aligned with the practice. Because the multi-valued decision diagram( MDD) can reflect the relationship between the components and the system state bilaterally, it was introduced into the reliability calculation of the multi-state system( MSS). The building method,simplified criteria,and path search and probability algorithm of MSS structure function MDD were given,and the reliability of the system was calculated. The computing methods of importance based on MDD and direct partial logic derivatives( DPLD) were presented. The diesel engine fuel supply system was taken as an example to illustrate the proposed method. The results show that not only the probability of the system in each state can be easily obtained,but also the influence degree of each component and its state on the system reliability can be obtained,which is conducive to the condition monitoring and structure optimization of the system.展开更多
Deliver high quality software in accordance with deadlines has become a major challenge for the software industry and more organizations adopt agile practices as a mean to achieve quality in their products. This paper...Deliver high quality software in accordance with deadlines has become a major challenge for the software industry and more organizations adopt agile practices as a mean to achieve quality in their products. This paper analyzes, through a survey, the perception of software professionals, working in different fronts of the development process, the relationship between the use of agile practices and quality of software products. The result shows agile practices that can contribute to quality in three aspects: bigger involvement of the staff, agile management of the requirements proposed and code developed.展开更多
基金National Natural Science Foundation of China(No.61164009)the Science and Technology Research Project,Department of Education of Jiangxi Province,China(No.GJJ14420)Natural Science Foundation of Jiangxi Province,China(No.20132BAB206026)
文摘Importance analysis quantifies the critical degree of individual component. Compared with the traditional binary state system,importance analysis of the multi-state system is more aligned with the practice. Because the multi-valued decision diagram( MDD) can reflect the relationship between the components and the system state bilaterally, it was introduced into the reliability calculation of the multi-state system( MSS). The building method,simplified criteria,and path search and probability algorithm of MSS structure function MDD were given,and the reliability of the system was calculated. The computing methods of importance based on MDD and direct partial logic derivatives( DPLD) were presented. The diesel engine fuel supply system was taken as an example to illustrate the proposed method. The results show that not only the probability of the system in each state can be easily obtained,but also the influence degree of each component and its state on the system reliability can be obtained,which is conducive to the condition monitoring and structure optimization of the system.
文摘Deliver high quality software in accordance with deadlines has become a major challenge for the software industry and more organizations adopt agile practices as a mean to achieve quality in their products. This paper analyzes, through a survey, the perception of software professionals, working in different fronts of the development process, the relationship between the use of agile practices and quality of software products. The result shows agile practices that can contribute to quality in three aspects: bigger involvement of the staff, agile management of the requirements proposed and code developed.
