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  • 1. Fan, L. -B
    et al.
    Wu, Y. -C
    Zhao, Ming
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för industriell ekonomi.
    Structural system based on software reliability2008In: Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology, ISSN 0254-0037, Vol. 34, no SUPPL. 2, p. 73-78Article in journal (Refereed)
    Abstract [en]

    Based on the software reliability, combined with the usage profile and functional profile of software, the reliability computing method of the software system is presented in this paper. The reliability is used for guide the designing of the system structure and showing how this designing to response the user demand changing. Lastly, an example is used to show the application of this method.

  • 2.
    Hu, W.
    et al.
    Faculty of Information Engineering, Guizhou Institute of Technology, Guizhou, China .
    Wu, S.
    College of Science, Guizhou University, Guizhou, China.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Yang, J.
    Faculty of Information Engineering, Guizhou Institute of Technology, Guizhou, China .
    Requires analysis based on software maintainability2014In: ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life, 2014, p. 354-357Conference paper (Refereed)
    Abstract [en]

    Requirements analysis is the most important phase of the software life cycle process. Some studies have shown the most faults of software are from the requirements phase. Therefore, the quality of Software Requirements Specification has become the key to project success, which correctness, consistency, no ambiguity of software requirements specification is more important. This paper presents a classification method based on natural language processing techniques and grey similar correlation. The first step of this method is that keywords refined from various functional requirements through segmentation of natural language processing, thus made up of heavy weight vector based on the weight of functional requirements, such a functional requirement corresponds to a weight vector. The second step is that the related technology of grey system is used to compute grey correlation coefficient between two weight vectors, in order to construct a correlation matrix. Finally, the appropriate statistical tools are used to classify functional requirements statements. The clustering results based on this method can provide work guidance for requirement analysts, software developers, software testers, software maintenance. 

  • 3.
    Hu, W
    et al.
    Guizhou University.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Software reliability index reasonable allocation based on UML2012In: Journal of Convergence Information Technology, ISSN 1975-9320, Vol. 7, no 23, p. 178-185Article in journal (Other academic)
  • 4.
    Hu, W
    et al.
    Guizhou University.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Yang, J
    Guizhou University.
    Jia, G
    Guizhou University.
    A Method of Software Reliability Allocation Based on UML Use Case Model2012In: Jisuanji Kexue [Computer Science], ISSN 1002-137X, Vol. 39, no 6A, p. 461-463Article in journal (Other academic)
  • 5.
    Hu, W
    et al.
    Guizhou University.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Yang, J
    Guizhou University .
    Jia, G
    Guizhou University .
    Iterative Strategy Analyze During Agile Development2012In: Weidianzixue yu jisuanji [Microelectronics & Computer], ISSN 1000-7180, Vol. 29, no 5, p. 165-169Article in journal (Other academic)
    Abstract [en]

    In this paper, We used characteristic of the Unified Modeling Language (UML) use case model in describing the function of the system' s and the iteration sequence of agile development process to obtain a new iteration sequence based on the risk an value of the various use cases in UML use case diagrams. An obvious advantage of doing so is to ensure high-risk and high-value use cases will be first developed, so that the use cases will be repeatedly tested in the next iteration, thereby increasing overall system reliability.

  • 6.
    Hu, W
    et al.
    Guizhou University.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Yang, J
    Guizhou University.
    Jia, W
    Guizhou University.
    VDM++ Formalization of UML Class Diagram2012In: Weidianzixue yu jisuanji [Microelectronics & Computer], ISSN 1000-7180, Vol. 29, no 6, p. 104-107Article in journal (Other academic)
    Abstract [en]

    The purpose of this paper is to use the most widely used formal language-VDM + + that has characteristics of accuracy and consistent in describing syntax and semantic of the system model, combined with VDMTOOLS and Rational Rose tool to transform the various elements of the UML class model into representation of VI)M+ +. This method achieves the various elements contained UML class model about the syntax and semantics checking, and further improves the quality of UML modeling.

  • 7.
    Hu, Wensheng
    et al.
    School of Electrical and Information Engineering, Guizhou Institute of Technology, Gui Zhou, Gui Yang, China.
    Mao, Jingjing
    School of Electrical and Information Engineering, Guizhou Institute of Technology, Gui Zhou, Gui Yang, China.
    Yang, Jianfeng
    School of Electrical and Information Engineering, Guizhou Institute of Technology, Gui Zhou, Gui Yang, China.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Maintainability design based on complex network2017In: 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2017, p. 309-314Conference paper (Refereed)
    Abstract [en]

    Many faults come from the design phase. In order to improve the maintainability of the software, the design of software architecture must be adopted modular design. This paper presents a method of UML class diagram translated into a directed complex network with weight value. The relation weight coefficient matrix between classes can be calculated by Dijkstra algorithm. The clustering algorithm is implemented on the relation weight coefficient matrix. The result of clustering analysis is that the closely related classes can be clustered into a component. Finally, modular design of the software system can be realized. © 2017 IEEE.

  • 8.
    Liu, Yu
    et al.
    Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
    Xie, Min
    Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
    Yang, Jianfeng
    Faculty of Information Engineering, Guizhou Institute of Technology, Guiyang, China .
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    A New Framework and Application of Software Reliability Estimation Based on Fault Detection and Correction Processes2015In: Proceedings: IEEE International Conference on Software Quality, Reliability and Security, QRS 2015, IEEE conference proceedings, 2015, p. 65-74, article id 7272916Conference paper (Refereed)
    Abstract [en]

    Software reliability growth modeling plays an important role in software reliability evaluation. To incorporate more information and provide more accurate analysis, modeling software fault detection and correction processes has attracted widespread research attention recently. However, the assumption of the stochastic fault correction time delay brings more difficulties in modeling and estimating the parameters. In practice, other than the grouped fault data, software test records often include some more detailed information, such as the rough time when one fault is detected or corrected. Such semi-grouped dataset contains more information about fault removal processes than commonly used grouped dataset. Using the semi-grouped datasets can improve the accuracy of time delayed models. In this paper, a fault removal modelling framework for software reliability with semi-grouped data is studied and extended into multi-released software. Also, the corresponding parameter estimation is carried out with Maximum Likelihood estimation method. One test dataset with three releases from a practical software project is applied with the proposed framework, which shows satisfactory performance with the results.

  • 9.
    Wang, X.
    et al.
    Reliability Engineering Research Center of Guizhou Province, Guizhou University, China.
    Yang, J.
    Reliability Engineering Research Center of Guizhou Province, Guizhou University, China.
    Gong, M.
    Reliability Engineering Research Center of Guizhou Province, Guizhou University, China.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production. Reliability Engineering Research Center of Guizhou Province, Guizhou University, China.
    Reliability analysis and evaluation of gas supply system2009In: ICMET'09 - Proceedings of the 2009 International Conference on Mechanical and Electrical Technology, Beijing, 2009, p. 245-249Conference paper (Other academic)
    Abstract [en]

    In this paper, the reliability model and the evaluation methods were neatly used with combining the engineering practice of the noise laboratory supply system, and this study give a quantitative evaluation result of the reliability system. It provides the scientific basis for improving the engineering design and increasing the reliability. This research results can be extended to similar projects, such as fuel supply system. From an engineering point of view, it is an innovation that the filter in the system is identified to be a "series - parallel mixed" structure by considering its physical structure and performance requirement.

  • 10. Xiaohua, W.
    et al.
    Zhi, W.
    Zhao, Ming
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för industriell ekonomi.
    The relationship between developers and customers in agile methodology2008In: Proceedings of the International Conference on Computer Science and Information Technology, ICCSIT 2008, Singapore, 2008, p. 566-572Conference paper (Other academic)
    Abstract [en]

    Agile methods such as XP emphasize the adaptation to changes, the collaboration with customers and the role of individuals. The project manager, developer and customer should have a tactic to handle the uncertain factors and the management conflicts in software development process. XP ′ s on-site customer practice makes the customer play a important role in development process, and facilitate the broad collaboration between developer and customer. Based on the feature of XP project life cycle and practices, this paper explores respective activities and responsibilities between development team and customer team, and the issues in their collaboration. Some practices in which customer participates is addressed, the activities of both developer and customer are described, some probable problems when customer and programmer work together are presented, and a formal example is given. © 2008 IEEE.

  • 11.
    Yang, J
    et al.
    Guizho University.
    Yang, L
    Guizho University.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Gong, M
    Guizho University.
    Reliability Analysis of Hydraulic Oil System Based on L-M Method2012In: Application of Statistics and Management, ISSN 1002-1566, Vol. 6, p. 976-980Article in journal (Other academic)
  • 12.
    Yang, J
    et al.
    Guizhou University.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Hu, W
    Guizhou University.
    Web Software Reliability Analysis Based on NHPP Model2012In: Jisuanji Gongcheng [Computer Engineering], ISSN 1000-3428, Vol. 38, no 14, p. 26-28Article in journal (Other academic)
    Abstract [en]

     This paper proposes a Web Software Reliability Growth Model(SRGM) with BurrX Testing Effort Function(TEF) based on Non-homogeneous Poisson Process(NHPP) and develops its application to Web software reliability analysis. The incorporated TEF depicts the relationship between Web workload and calendar time, and solves the problem about high uneven of Web workload. By using the workload data and failure data from Web logs. Experimental results show that the proposed model can be used to describe the actual failure process more faithfully than G-O model, which is often used to analyze Web software.

  • 13.
    Yang, Jianfeng
    et al.
    Faculty of Information Engineering, Guizhou Institute of Technology, Guiyang, China .
    Liu, Yu
    Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
    Xie, Min
    Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes2016In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 115, p. 102-110Article in journal (Refereed)
    Abstract [en]

    Large software systems require regular upgrading that tries to correct the reported faults in previous versions and add some functions to meet new requirements. It is thus necessary to investigate changes in reliability in the face of ongoing releases. However, the current modeling frameworks mostly rely on the idealized assumption that all faults will be removed instantaneously and perfectly. In this paper, the failure processes in testing multi-release software are investigated by taking into consideration the delays in fault repair time based on a proposed time delay model. The model is validated on real test datasets from the software that has been released three times with new features. A comprehensive analysis of optimal release times based on cost-efficiency is also provided, which could help project managers to determine the best time to release the software. 

  • 14.
    Yang, Jian-feng
    et al.
    College of Computer Science & Information, Guizhou University, Guiyang 550025, China.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Maximum likelihood estimation for software reliability with masked failure data2013In: Systems engineering and electronics, ISSN 1001-506X, Vol. 35, no 12, p. 2665-2669Article in journal (Refereed)
    Abstract [en]

    The masked data are the system failure data when the exact cause of the failures might be unknown. That is, it is the subset of components known to contain the component causing system failures. In general, the maximum likelihood estimation (MLE) of parameters are difficult to find when there exist masked data, because superposition non-homogenous Poisson process (NHPP) software reliability model cannot be decomposed into the independent NHPP models. In this paper, the MLE of software reliability from masked data is studied based on superposition NHPP models. Finally, numerical example based on simulation data is given to illustrate a good performance of MLE.

  • 15. Yang, Jianfeng
    et al.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production. Guizhou University, Guiyang, China.
    Hu, Wensheng
    Web software reliability modeling with random impulsive shocks2014In: Journal of Systems Engineering and Electronics, ISSN 1004-4132, Vol. 25, no 2, p. 349-356Article in journal (Refereed)
    Abstract [en]

    As the web-server based business is rapidly developed and popularized, how to evaluate and improve the reliability of web-servers has been extremely important. Although a large number of software reliability growth models (SRGMs), including those combined with multiple change-points (CPs), have been available, these conventional SRGMs cannot be directly applied to web software reliability analysis because of the complex web operational profile. To characterize the web operational profile precisely, it should be realized that the workload of a web server is normally non-homogeneous and often observed with the pattern of random impulsive shocks. A web software reliability model with random impulsive shocks and its statistical analysis method are developed. In the proposed model, the web server workload is characterized by a geometric Brownian motion process. Based on a real data set from IIS server logs of ICRMS website (www.icrms.cn), the proposed model is demonstrated to be powerful for estimating impulsive shocks and web software reliability.

  • 16.
    Yongjin, Zhang
    et al.
    Department of Civil Aviation Engineering, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China; Department of Applied Mathematics, School of Mathematics and Physics, Anhui University of Technology, Maanshan, China.
    Youchao, Sun
    Department of Civil Aviation Engineering, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
    Longbiao, Li
    Department of Civil Aviation Engineering, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
    Ming, Zhao
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Copula-based reliability analysis for a parallel system with a cold standby2018In: Communications in Statistics - Theory and Methods, ISSN 0361-0926, E-ISSN 1532-415X, Vol. 47, no 3, p. 562-582Article in journal (Refereed)
    Abstract [en]

    The traditional reliability models cannot well reflect the effect of performance dependence of subsystems on the reliability of system, and neglect the problems of initial reliability and standby redundancy. In this paper, the reliability of a parallel system with active multicomponents and a single cold-standby unit has been investigated. The simultaneously working components are dependent and the dependence is expressed by a copula function. Based on the theories of conditional probability, the explicit expressions for the reliability and the MTTF of the system, in terms of the copula function and marginal lifetime distributions, are obtained. Let the copula function be the FGM copula and the marginal lifetime distribution be exponential distribution, a system with two parallel dependent units and a single cold-standby unit is taken as an example. The effect of different degrees of dependence among components on system reliability is analyzed, and the system reliability can be expressed as the linear combination of exponential reliability functions with different failure rates. For investigating how the degree of dependence affects the mean lifetime, furthermore, the parallel system with a single cold standby, comprising different number of active components, is also presented. The effectiveness of the modeling method is verified, and the method presented provides a theoretical basis for reliability design of engineering systems and physics of failure.

  • 17. Zeng, Haiying
    et al.
    Lei, Xiaoping
    Zhao, Ming
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för industriell ekonomi.
    International-oriented development strategy for improving local industry's innovation capability in western China2005In: Proceedings of 6th International Continuous Innovation Network (CINet) Conference, 2005, p. 642-651Conference paper (Refereed)
  • 18.
    Zhang, Yongjin
    et al.
    College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China; School of Mathematics and Physics, Anhui University of Technology, Maanshan, China.
    Sun, Youchao
    College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    A combinatorial estimation approach for storage reliability with initial failures based on periodic testing data2017In: Communications in statistics. Simulation and computation, ISSN 0361-0918, E-ISSN 1532-4141, Vol. 46, no 4, p. 3319-3340Article in journal (Refereed)
    Abstract [en]

    Storage reliability that measures the ability of products in a dormant state to keep their required functions is studied in this paper. Unlike the operational reliability, storage reliability for certain types of products may not be always 100% at the beginning of storage since there are existing possible initial failures that are normally neglected in the models of storage reliability. In this paper, a new combinatorial approach, the non-parametric measure for the estimates of the number of failed products and the current reliability at each testing time in storage, and the parametric measure for the estimates of the initial reliability and the failure rate based on the exponential reliability function, is proposed for estimating and predicting the storage reliability with possible initial failures. The proposed method has taken into consideration that, the initial failure and the reliability testing data before and during the storage process, are available for providing more accurate estimates of both initial failure probability and the probability of storage failures. When storage reliability prediction that is the main concern in this field should be made, the non-parametric estimates of failure numbers can be used into the parametric models for the failure process in storage. In the case of exponential models, the assessment and prediction method for storage reliability is provided in this paper. Finally, numerical examples are given to illustrate the method. Furthermore, a detailed comparison between the proposed method and the traditional method, for examining the rationality of assessment and prediction on the storage reliability, is presented. The results should be useful for planning a storage environment, decision-making concerning the maximum length of storage, and identifying the production quality.

  • 19.
    Zhang, Yongjin
    et al.
    School of Mathematics and Physics, Anhui University of Technology, Maanshan, China.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Zhang, Shitao
    School of Mathematics and Physics, Anhui University of Technology, Maanshan, China.
    Wang, Jiamei
    School of Mathematics and Physics, Anhui University of Technology, Maanshan, China.
    Zhang, Yanjun
    College of Mechanical Engineering, Yangzhou University, Yangzhou, China.
    An integrated approach to estimate storage reliability with initial failures based on E-Bayesian estimates2017In: Reliability Engineering & System Safety, ISSN 0951-8320, E-ISSN 1879-0836, Vol. 159, p. 24-36Article in journal (Refereed)
    Abstract [en]

    Storage reliability that measures the ability of products in a dormant state to keep their required functions is studied in this paper. For certain types of products, Storage reliability may not always be 100% at the beginning of storage, unlike the operational reliability, which exist possible initial failures that are normally neglected in the models of storage reliability. In this paper, a new integrated technique, the non-parametric measure based on the E-Bayesian estimates of current failure probabilities is combined with the parametric measure based on the exponential reliability function, is proposed to estimate and predict the storage reliability of products with possible initial failures, where the non-parametric method is used to estimate the number of failed products and the reliability at each testing time, and the parameter method is used to estimate the initial reliability and the failure rate of storage product. The proposed method has taken into consideration that, the reliability test data of storage products containing the unexamined before and during the storage process, is available for providing more accurate estimates of both the initial failure probability and the storage failure probability. When storage reliability prediction that is the main concern in this field should be made, the non-parametric estimates of failure numbers can be used into the parametric models for the failure process in storage. In the case of exponential models, the assessment and prediction method for storage reliability is presented in this paper. Finally, a numerical example is given to illustrate the method. Furthermore, a detailed comparison between the proposed and traditional method, for examining the rationality of assessment and prediction on the storage reliability, is investigated. The results should be useful for planning a storage environment, decision-making concerning the maximum length of storage, and identifying the production quality.

  • 20. Zhao, B.
    et al.
    Yang, J. F.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Li, Q.
    Liu, Y.
    A NHPP-based reliability model of wireless sensor networks2014In: Applied Mechanics and Materials: Volume 596: Mechatronics and Industrial Informatics II / [ed] Prasad Yarlagadda and Seung-Bok Choi, 2014, p. 877-882Conference paper (Refereed)
    Abstract [en]

    As the Wireless Sensor Networks(WSNs) are widely applied to various fields recent years, the quality of WSN has been increasingly concerned. Since reliability is the most important factor of quality, how to evaluate reliability of WSN through failure counting is our main subject. In this paper, we try to utilize NHPP theorem in the failure process of WSN and propose a reliability model based on NHPP. And also, the model validation is conducted by simulation. 

  • 21. Zhao, B.
    et al.
    Yang, J. F.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Li, Q.
    Liu, Y.
    An additive NHPP-Based reliability model of wireless sensor networks2014In: Applied Mechanics and Materials: Volumes 602 - 605: Advanced Manufacturing and Information Engineering, Intelligent Instrumentation and Industry Development, 2014, p. 3206-3212Conference paper (Refereed)
    Abstract [en]

    As the Wireless Sensor Networks(WSNs) are widely implemented in various fields recent years, the quality of WSNs has been increasingly concerned. WSNs can usually be divided into sub-nets, which assumed to work or fail independently. Through the failure data of those sub-nets, the additive NHPP model for reliability evaluation is composed, and then the maximum likelihood estimation is applied to estimate the unknown parameters in the model. Finally, the simulation shows that the additive NHPP model is better than general NHPP model under certain circumstances. 

  • 22.
    Zhao, B.
    et al.
    Beijing University of Posts and Telecommunications, Beijing, China .
    Yang, J.
    Guizhou Institute of Technology, Guiyang, China .
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Li, Q.
    Beijing University of Posts and Telecommunications, Beijing, China .
    Liu, Y.
    Beijing University of Posts and Telecommunications, Beijing, China .
    Wireless sensor network reliability modelling based on masked data2015In: International Journal of Sensor Networks (IJSNet), ISSN 1748-1279, E-ISSN 1748-1287, Vol. 17, no 4, p. 217-223Article in journal (Refereed)
    Abstract [en]

    This paper studies the reliability modelling of wireless sensor networks (WSNs) with the masked data that are often observed in practice. The masked data are the system failure data when exact subsystems or components causing system failures cannot be identified. When the masked data are observed, however, it is difficult to estimate the WSN reliability since the failure processes of the subnets cannot be decomposed into simple subsystem processes. In this paper, an additive non-homogeneous poisson process (NHPP) model is proposed to describe the failure process of the WSN with subnets. The maximum likelihood estimation (MLE) procedure is developed to estimate the parameters in the proposed model. By applying the given procedure, the WSN reliability estimate can be relatively easy to obtain. A numerical example based on simulation data with random masking is also provided to illustrate the applicability of the methodology. 

  • 23.
    Zhao, Ming
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för industriell ekonomi.
    Comparative Analysis of Continuous Improvement Performance between Chinese and European firms2005In: Proceedings of the 6th International CINet Conference, 2005Conference paper (Refereed)
  • 24.
    Zhao, Ming
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för industriell ekonomi.
    Planning Models for Software Reliability and Cost1998In: IEEE Transactions on Software Engineering, ISSN 0098-5589, E-ISSN 1939-3520, Vol. 24, no 6, p. 420-434Article in journal (Refereed)
  • 25.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Preface2011In: ICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety, art. no. 5979227, 2011Conference paper (Other academic)
  • 26.
    Zhao, Ming
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety2011Conference proceedings (editor) (Refereed)
  • 27.
    Zhao, Ming
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för industriell ekonomi.
    Statistical Reliability change-point estimation models2003In: Handbook of Reliability Engineering / [ed] Hoang Pham, London: Springer , 2003, p. 157-163Chapter in book (Refereed)
  • 28.
    Zhao, Ming
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för industriell ekonomi.
    Superposition of Power-law Models for Hardware/Software System Reliability Data Analysis2003In: International Journal of Reliability, Quality and Safety Engineering (IJRQSE), ISSN 0218-5393, Vol. 10, no 2, p. 121-130Article in journal (Other academic)
    Abstract [en]

    One of the widely used NHPP models in reliability is the so-called power-law model, also known as the Duane model. A power-law model can be applied in analyzing failure data of both software and hardware systems. Nevertheless, the power-law model is no longer applicable to describe the failure behavior when a hardware/software embedded system is concerned since the failures can come from both hardware and software. How to analyze the failure data of this type is still a problem to study and a new type of model is needed to develop. In this paper, we consider the superposition of the power-law models (SPLM) as one candidate to describe the failure behaviors of hardware/software systems. The characteristics of SPLMs are thoroughly studied. It is shown that an SPLM has the intensity function that can be increasing, decreasing, increasing-then-decreasing or decreasing-then-increasing. Specifically, the identification method of the superposition of power-law processes is provided by using the TTT-plot technique. The TTT-transform of a superposition of power-law processes is DFR-like. Therefore, the conditional TTT-plot should present a convex pattern if the system failures follow a superposition process by a few power-law processes. This provides us an easy way to identify the model when the testing data is available.

  • 29.
    Zhao, Ming
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management. University of Gävle, Center for Logistics and Innovative Production.
    Yang, Janfieng
    School of Data Science, Department of Data Science, Guizhou Institute of Technology, Guiyang, 550003, Chin.
    Zhao, Bo
    Department of Mathematics, Reliability Center of Guizhou Province, Guizhou University, Guiyang, 550025, China.
    Wu, Zhenpeng
    Department of Mathematics, Reliability Center of Guizhou Province, Guizhou University, Guiyang, 550025, China.
    Copula-based reliability modelling of wireless sensor networks with dependent failures2019In: International Journal of Sensor Networks (IJSNet), ISSN 1748-1279, E-ISSN 1748-1287, Vol. 31, no 2, p. 90-98Article in journal (Refereed)
    Abstract [en]

    Wireless sensor networks (WSNs) have widely been applied in various industries and business fields covering large geographical regions. It is therefore important to be able to model, assess and predict the reliability of WSNs since the failures can have a great effect on the monitoring or control systems that are normally depending on the WSNs. In this paper, the general WSN reliability models are developed by deleting the independent assumption of component or subsystem failures and are consequently more reasonable to characterise the failure process of WSNs. The methodology in the proposed WSN reliability models is to consider that the failure times of subsystems are dependent variables and their joint distribution is obtained by binding their marginal failure distributions together through a copula function. For specific Frank copula functions, the Star-based WSN reliability models are derived and their properties are also discussed in this paper. 

  • 30.
    Zhao, Ming
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production. Reliability Engineering Center, Guizhou University, Guiyang, China .
    Yang, Jianfeng
    Guizho University.
    A DCA-based method for software prognostics and health management2012In: Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012, 2012, p. 6228830-Conference paper (Refereed)
    Abstract [en]

    In recent years, the prognostics and health management (PHM) technique has greatly been developed especially for electronic devices and systems. Little work, however, has been done on PHM techniques for software systems. During their total lifecycle, the software systems, due to various reasons such as new requirements or changes in technology, have to experience changes that can lead to a degeneration of the system's architecture. Therefore, it is important and necessary to identify and predict the software health status in order to avoid serious degeneration or erosion of system's architecture. In this paper, a software PHM approach based on Discriminant Coordinates Analysis (DCA) is proposed, and the health status of software systems is suggested to be categorized into five groups: Healthy, Normal, Sub-healthy, Unhealthy and Deteriorated. The proposed model based on software design metrics can help managers and developers predict and identify the software health status. Numerical example based on simulation data is given to illustrate its application on the modeling process.

  • 31.
    Zhao, Ming
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Zhang, Y. J.
    School of Mathematics and Physics, Anhui University of Technology, Maanshan, China.
    Yang, J. F.
    Faculty of Information Engineering, Guizhou Institute of Technology, Guiyang, China.
    Masked data analysis for storage reliability model with initial failures2018In: Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018 / [ed] Stein Haugen, Anne Barros, Coen van Gulijk, Trond Kongsvik, Jan Erik Vinnem, CRC Press/Balkema , 2018, p. 2565-2572Conference paper (Refereed)
    Abstract [en]

    Storage reliability is of importance for the products that largely stay in storage in their total life-cycle such as warning systems for harmful radiation detection, rescue systems, many kinds of defense systems, etc. The storage reliability of a product is commonly defined as the probability that the product can perform its specific function for a period of specific storage time under specific storage environment. Logically, the failures of the product in storage should be identified with the same criteria as in its operation process. However, the failure data in storage may be observed indirectly through the maintenance or inspection activities. Nevertheless, when the storage reliability is concerned in general, the reliability model should take into consideration the possibility that the operational reliability does not start at 100%, for example, the one-shot product may have only 96% operational reliability when they are newly produced. In this paper, the storage reliability model with possibly initial failures, which are usually neglected at the beginning of storage in most of storage models, is studied on the statistical analysis method when the masked data are observed. The parametric estimation procedure, based on the Least Squares method, is developed generally by applying an EM-like (Expectation and Maximization) algorithm for the storage data in which some information about which components have caused the system failures is not known, namely the failure data are masked. The estimates of the model parameters including the initial reliability are formalized. In the case of exponentially distributed storage lifetime and series system, a numerical example is provided to illustrate the method and procedure though the method is not limited to such case. The results should be useful for planning a storage environment, decision-making concerning the maximum length of storage, maintenance strategy optimization and identifying the production quality.

  • 32.
    Zhao, Ming
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
    Zhang, Y
    Guizho University.
    Xu, F R
    Guizho University.
    ESS profiles with step stress level2011In: ICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety, 2011, p. 1156-1161Conference paper (Refereed)
    Abstract [en]

    Environmental Stress Screening (ESS) is usually referred to the process of exposing a product to environmental stresses for detecting and eliminating latent defects made in manufacturing process. The common ESS profiles are using thermal cycling, random vibration or their combinations as the screening stresses. Various guidelines and standards have been available for determining an ESS profile. Nevertheless, there are cases that the standard ESS profiles may not be efficient enough to detect the latent defects in some manufacturing process. This paper reports the results of one industrial project on the ESS profile design for circuits. In the project, a comparative study was carried out for the evaluation of the ESS strength under the ESS profiles with incremental step stresses (ISS). The ISS profile under the study is firstly to implement a step thermal cycling and then perform the test with two screening stimuli concurrently: ordinary thermal cycling and random vibration of step increasing intensity levels. For the purpose of the comparative study, the ESS test samples were consisted of two groups A and B that were made at two different levels of manufacturing: soldering by skilled and unskilled workers, respectively. The comparative study shows that the ISS profiles are effective for exposing the latent defects in sample group A and B. Based on the project results, an ESS profile is recommended in this paper.

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