Process Quality

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Xiaochen Liu - One of the best experts on this subject based on the ideXlab platform.

  • APSEC - Evaluation and Measurement of Software Testing Process Quality Applicable to Software Testing Laboratory
    2015 Asia-Pacific Software Engineering Conference (APSEC), 2015
    Co-Authors: Yang Sun, Hongbing Qian, Xiaochen Liu
    Abstract:

    Software testing laboratory is a professional software evaluation organization of university or state institution. Through the analysis and study of the characteristics of software testing Process, we intend to customize a model of software testing Process Quality measurement which is applicable to the software testing laboratory. The model describes seven characteristics namely compliance of Process, stability of Process, effectiveness, adequacy, traceability, integrity and timeliness which are further subdivided into some measure indices and describes their assessment methods. Finally, an example is given to show how to evaluate the Quality of software testing Process.

  • Evaluation and Measurement of Software Testing Process Quality Applicable to Software Testing Laboratory
    2015 Asia-Pacific Software Engineering Conference (APSEC), 2015
    Co-Authors: Yang Sun, Hongbing Qian, Xiaochen Liu
    Abstract:

    Software testing laboratory is a professional software evaluation organization of university or state institution. Through the analysis and study of the characteristics of software testing Process, we intend to customize a model of software testing Process Quality measurement which is applicable to the software testing laboratory. The model describes seven characteristics namely compliance of Process, stability of Process, effectiveness, adequacy, traceability, integrity and timeliness which are further subdivided into some measure indices and describes their assessment methods. Finally, an example is given to show how to evaluate the Quality of software testing Process.

Xingyu Jiang - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent Process Quality Control System for Mass Customization
    Journal of Software, 2012
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Rui Wang
    Abstract:

    For complicated and variable environment for mass customization, how to deal with the problems of monitoring dynamic and variable Quality fluction,diagnosing the abnormal variation and adjusting the Process at the right moment, is a difficult problem that mass customization faces in Process Quality control. An intelligent Process Quality control system model for mass customization, which integrates Quality prevention, analysis, diagnosis and running intelligent Quality control system. This model dealt mainly with constructing and running intelligent Quality control system, integrated several enabling technologies such as Process Quality analysis based on similarity Process, Process Quality diagnosis based on Elman and expert system of Process Quality adjustment. It is basis of realizing network, intelligent and automatic Process Quality control.

  • Process Quality Control Method for Individualized Customization Based-Customer Satisfaction
    Applied Mechanics and Materials, 2010
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Xin Min Zhang
    Abstract:

    To cope with the problems of monitoring dynamic and variable Quality variation for individualized customization, diagnosing the abnormal variation and adjusting the Process at the right moment, is a difficult problem that individualized customization faces in Process Quality control. This mode dealt mainly with constructing and running dynamic Quality control system, integrated several enabling technologies such as Process Quality analysis on-line based on similarity Process, Process Quality diagnosis based on Elman and expert system of Process Quality adjustment. It is basis of realizing network, intelligent and automatic Process Quality control.

  • An intelligent decision support system for Process Quality control
    2010 IEEE International Conference on Automation and Logistics, 2010
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Xin Min Zhang
    Abstract:

    How to solve the problems of monitoring dynamic and variable Quality variation, diagnosing the abnormal variation and adjusting the Process Quality at the right moment, is a difficult problem that modern manufacturing enterprise faces challenges of Process Quality control. An intelligent decision support system for Process Quality control is presented, the corresponding decision support modules (such as data acquisition, data management, Process analysis, dynamic diagnosis, real-time adjustment, expert system and so on) are built based on the design idea of decision support system with multi-structure through the share of resource and information; and the functions of each module are designed and described, and the solutions of decision are proposed. So, the work of this paper provides a theoretical basis and technological insurance for the development of the intelligent decision support system for Process Quality control.

  • Intelligent Process Quality control system into supply chain
    ICMIT 2009: Mechatronics and Information Technology, 2009
    Co-Authors: Shi Jie Wang, Xingyu Jiang, Yingchun Wang
    Abstract:

    To cope with the challenges of monitoring dynamic and variable Quality variation into supply chain, diagnosing the abnormal variation at the right moment, is a difficult problem that a enterprise in supply chain faces in Process Quality control. An intelligent Process Quality control mode into supply chain, which integrated Quality prevention, analysis, diagnosis and adjustment, and corresponding functional modules and framework were all put forward. This mode dealt mainly with constructing and running intelligent Quality control system, such as the theory of similarity manufacturing, Statistical Process Control (SPC), neural network. Furthermore, some key enabling technologies were studied in detail, including Process Quality analysis on-line based on similarity Process and Process Quality diagnosis based on Elman and expert system of Process Quality adjustment. It is basis of realizing network, intelligent and automatic Process Quality control into supply.

  • A Study on Dynamic Process Quality Control Method into Supply Chain
    Applied Mechanics and Materials, 2009
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Wan Shan Wang
    Abstract:

    To cope with the challenges of monitoring dynamic and variable Quality variation into supply chain, diagnosing the abnormal variation at the right moment, is a difficult problem that a enterprise in supply chain faces in Process Quality control. A dynamic Process Quality control method, which integrated Quality prevention, analysis and diagnosis, was all put forward. This method integrated several enabling technologies such as the theory of similarity manufacturing, Statistical Process Control (SPC), neural network. Furthermore, some key enabling technologies were studied in detail, including Process Quality analysis on-line based on similarity Process and Process Quality diagnosis based on Elman. It is basis of realizing network, intelligent and automatic Process Quality control.

Yang Sun - One of the best experts on this subject based on the ideXlab platform.

  • APSEC - Evaluation and Measurement of Software Testing Process Quality Applicable to Software Testing Laboratory
    2015 Asia-Pacific Software Engineering Conference (APSEC), 2015
    Co-Authors: Yang Sun, Hongbing Qian, Xiaochen Liu
    Abstract:

    Software testing laboratory is a professional software evaluation organization of university or state institution. Through the analysis and study of the characteristics of software testing Process, we intend to customize a model of software testing Process Quality measurement which is applicable to the software testing laboratory. The model describes seven characteristics namely compliance of Process, stability of Process, effectiveness, adequacy, traceability, integrity and timeliness which are further subdivided into some measure indices and describes their assessment methods. Finally, an example is given to show how to evaluate the Quality of software testing Process.

  • Evaluation and Measurement of Software Testing Process Quality Applicable to Software Testing Laboratory
    2015 Asia-Pacific Software Engineering Conference (APSEC), 2015
    Co-Authors: Yang Sun, Hongbing Qian, Xiaochen Liu
    Abstract:

    Software testing laboratory is a professional software evaluation organization of university or state institution. Through the analysis and study of the characteristics of software testing Process, we intend to customize a model of software testing Process Quality measurement which is applicable to the software testing laboratory. The model describes seven characteristics namely compliance of Process, stability of Process, effectiveness, adequacy, traceability, integrity and timeliness which are further subdivided into some measure indices and describes their assessment methods. Finally, an example is given to show how to evaluate the Quality of software testing Process.

Onur Demirörs - One of the best experts on this subject based on the ideXlab platform.

  • A Case Study on Measuring Process Quality: Lessons Learned
    2012 38th Euromicro Conference on Software Engineering and Advanced Applications, 2012
    Co-Authors: Ahmet Dikici, Oktay Turetken, Onur Demirörs
    Abstract:

    Requiring solid engineering disciplines and best practices rather than human talents for developing complex software systems results an increasing interest in software Processes. The Quality of software Processes has considerable influence over the success of an organization. Process Quality measurement addresses an essential and largely overlooked aspect of Processes. We performed a case study on the application of a Process Quality measurement method with the main objective of examining the extent of the support it offers for software Process improvement in practice. We discuss the challenges and lessons learned as well as the limitations of the measurement method applied.

  • The Application of a New Process Quality Measurement Model for Software Process Improvement Initiatives
    2011 11th International Conference on Quality Software, 2011
    Co-Authors: Selcuk A. Guceglioglu, Onur Demirörs
    Abstract:

    Conventionally, Process analysis is performed by following the traces of Processes on the attributes of cost, time and product Quality. Although Process Quality is a significant aspect it is frequently ignored in Process analysis. In this paper, we present the results of the applications of the Process Quality Measurement Model (PQMM) and demonstrate the added value that can be acquired by analyzing the Process Quality for software organizations. The PQMM is a comprehensive and proactive Quality measurement model based on the ISO/IEC 9126 Software Product Quality Standard. The basis of the PQMM is the measurement of Process definitions. As Process definitions can be established before their execution, the PQMM can measure Processes before they are put into practice. The model was applied to three different software organizations as part of a software Process improvement initiative. The applications of the PQMM provided guidance for the analysis and explanation of the deficiencies or problems identified in the Processes. The PQMM was also applied to the improved versions of the Processes and facilitated a quantitative evaluation of the improvements accomplished in the Processes.

  • Application of Process Quality measurement frameworks for human resource management Processes
    2011 IEEE International Conference on Quality and Reliability ICQR 2011, 2011
    Co-Authors: Özgür Gürbüz, A S Guceglioglu, Onur Demirörs
    Abstract:

    This paper discusses the application of 3 frameworks with different viewpoints and metrics that provide comprehensive coverage to measure Process Quality with the goal of practice and comparison. The first framework is Vanderfeesten's model adapted from software programs, the second is from Khlif's model adapted from object-oriented software and the third is from Guceglioglu's model adapted from ISO/IEC 9126 Software Product Quality Model. These frameworks are applied on a set of Processes that are defined as part of a Process improvement and automation study performed for a government agency. The set includes all of the Processes of a human resource management department for the agency. The results are compared in the terms of effort required to apply the frameworks, and the applicability and automation potential of the frameworks. We also provide our observations in relation to the difficulties we faced and validity of the results obtained with respect to the organization. {©} 2011 IEEE.

  • EuroSPI - A Process based model for measuring Process Quality attributes
    Lecture Notes in Computer Science, 2005
    Co-Authors: A S Guceglioglu, Onur Demirörs
    Abstract:

    Organizations frequently use product based organizational performance models to measure the effects of information system (IS) on their organizations. This paper introduces a complementary Process based approach that is founded on measuring business Process Quality attributes. These Quality attributes are defined on the basis of ISO/IEC 9126 Software Product Quality Model. The new Process Quality attributes are applied in an experiment and results are discussed in the paper.

Shi Jie Wang - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent Process Quality Control System for Mass Customization
    Journal of Software, 2012
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Rui Wang
    Abstract:

    For complicated and variable environment for mass customization, how to deal with the problems of monitoring dynamic and variable Quality fluction,diagnosing the abnormal variation and adjusting the Process at the right moment, is a difficult problem that mass customization faces in Process Quality control. An intelligent Process Quality control system model for mass customization, which integrates Quality prevention, analysis, diagnosis and running intelligent Quality control system. This model dealt mainly with constructing and running intelligent Quality control system, integrated several enabling technologies such as Process Quality analysis based on similarity Process, Process Quality diagnosis based on Elman and expert system of Process Quality adjustment. It is basis of realizing network, intelligent and automatic Process Quality control.

  • Process Quality Control Method for Individualized Customization Based-Customer Satisfaction
    Applied Mechanics and Materials, 2010
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Xin Min Zhang
    Abstract:

    To cope with the problems of monitoring dynamic and variable Quality variation for individualized customization, diagnosing the abnormal variation and adjusting the Process at the right moment, is a difficult problem that individualized customization faces in Process Quality control. This mode dealt mainly with constructing and running dynamic Quality control system, integrated several enabling technologies such as Process Quality analysis on-line based on similarity Process, Process Quality diagnosis based on Elman and expert system of Process Quality adjustment. It is basis of realizing network, intelligent and automatic Process Quality control.

  • An intelligent decision support system for Process Quality control
    2010 IEEE International Conference on Automation and Logistics, 2010
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Xin Min Zhang
    Abstract:

    How to solve the problems of monitoring dynamic and variable Quality variation, diagnosing the abnormal variation and adjusting the Process Quality at the right moment, is a difficult problem that modern manufacturing enterprise faces challenges of Process Quality control. An intelligent decision support system for Process Quality control is presented, the corresponding decision support modules (such as data acquisition, data management, Process analysis, dynamic diagnosis, real-time adjustment, expert system and so on) are built based on the design idea of decision support system with multi-structure through the share of resource and information; and the functions of each module are designed and described, and the solutions of decision are proposed. So, the work of this paper provides a theoretical basis and technological insurance for the development of the intelligent decision support system for Process Quality control.

  • Intelligent Process Quality control system into supply chain
    ICMIT 2009: Mechatronics and Information Technology, 2009
    Co-Authors: Shi Jie Wang, Xingyu Jiang, Yingchun Wang
    Abstract:

    To cope with the challenges of monitoring dynamic and variable Quality variation into supply chain, diagnosing the abnormal variation at the right moment, is a difficult problem that a enterprise in supply chain faces in Process Quality control. An intelligent Process Quality control mode into supply chain, which integrated Quality prevention, analysis, diagnosis and adjustment, and corresponding functional modules and framework were all put forward. This mode dealt mainly with constructing and running intelligent Quality control system, such as the theory of similarity manufacturing, Statistical Process Control (SPC), neural network. Furthermore, some key enabling technologies were studied in detail, including Process Quality analysis on-line based on similarity Process and Process Quality diagnosis based on Elman and expert system of Process Quality adjustment. It is basis of realizing network, intelligent and automatic Process Quality control into supply.

  • A Study on Dynamic Process Quality Control Method into Supply Chain
    Applied Mechanics and Materials, 2009
    Co-Authors: Xingyu Jiang, Shi Jie Wang, Wan Shan Wang
    Abstract:

    To cope with the challenges of monitoring dynamic and variable Quality variation into supply chain, diagnosing the abnormal variation at the right moment, is a difficult problem that a enterprise in supply chain faces in Process Quality control. A dynamic Process Quality control method, which integrated Quality prevention, analysis and diagnosis, was all put forward. This method integrated several enabling technologies such as the theory of similarity manufacturing, Statistical Process Control (SPC), neural network. Furthermore, some key enabling technologies were studied in detail, including Process Quality analysis on-line based on similarity Process and Process Quality diagnosis based on Elman. It is basis of realizing network, intelligent and automatic Process Quality control.

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