• Journal of Korean Society for Quality Management
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• v.13 no.2
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• pp.61-65
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• 1985

The quality of a final SOFTWARE PACKAGE depends on many complicated factors in the software development process. This paper describes ststistical methods for establishing relationships between final quality and development process factors. The final software quality is represented by the number of errors through the system test phase. The data presented here were gathered during the course of a real IS-month development project. Regression theory is used for data analysis. Some of the interesting results include the observation that specification changes during the development process have an adverse effect on final software quality.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1125-1132
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• 2023

The importance of networks is gradually expanding in the battlefield environment. As time goes by, the types of tactical data links used in the Korean JTDLS are increasing, and the military's weapon systems equipped with tactical data link systems are increasing. Thorough quality verification is required to provide stable software to the wider battlefield. This study examines how to prepare an environment in which various simulation tests to verify the stability of the Korean JTDLS project can be conducted as diverse as possible using minimal physical space and Hardware resources. Through this, it is possible to improve the completeness of the project and secure the stability of the program, and it is intended to contribute to securing higher stability and reliability by securing maximum test capabilities in a limited test environment even in Linux based system project of a similar environment.

• The Journal of Information Technology and Database
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• v.3 no.2
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• pp.97-118
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• 1996

Information systems quality engineering is one of the most problematic areas in practice and research, and needs cooperative efforts between practice and theory [Glass, 1996]. A model for evaluating the quality of system development process and ensuing success is proposed based on information processing theory of project unit design. A nomological net among a set of quality variables is identified from prior research in the areas of organization science, software engineering, and management information systems. More specifically, system development success was modelled as a function of project complexity, system development modelling environment, user participation, project unit structure, resource availability, and the level of iterative nature of development methodology. Based on the model developed from the information processing theory of project unit design in organization science. appropriate quality metrics for each variable in the proposed model are matched. In this way, a framework of relevant systems development and success quality metrics for controlling systems development processes and ensuing success is proposed. The causal relationships among the constructs in the proposed model are proposed as future empirical research for academicians and as managerial tools for quality managers. The framework and propositions help quality manager to select more parsimonious quality metrics for controlling information systems development processes and project success in an integrated way. Also this model can be utilized for evaluating software quality assurance programmes, which are developed and marketed by many vendors.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.13-19
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• 2010

Information competitiveness accounts for substantial parts of business competitiveness necessary for business management in the knowledge-information society in the 21st century. To improve quality. productivity and competitiveness through information in the fields of SMEs particularly having difficulties under rapidly changing business environment. the government has operated "SME Information Support Project" for the past 8 years. The methodology for developing the standard for this project known as EISDM (Enterprise Information System Development Methodology) provides communication between IT businesses and SMEs participating in this project. and standardized output document formats and how to make out such documents. Infortunately. the number of personnel partaking in the development project for SMEs is no more than 2~4 per site on average. Further. they are required to complete demand analyses. development. testing and operation in about 6 months. which is a very short period. Moreover, there is too much demand for documentation, which is likely to end up being formal work process just for supervision and inspection. That is, the documentation could be for noting but documents. which will prove useless outputs after the project finishes. Therefore, this study proposes an improvement approach as an information system development methodology taking into account SMEs' characteristics and environment so as to relieve developers from such excessive burden of documentation, to save time and resources through efficient management of software development as the original purpose of the methodology, and to produce required quality software.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.10C
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• pp.887-901
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• 2002

Software management model divided into the software project model and design estimation model, software matrices model, reliability growth model, process improvement model(or process maturity model) etc. Among these software management models, software complexity model make an estimated of the product software. For a practice of software managed, need to guideline of the static analysis of software. Especially, Software complexity model introduced for the estimation of software quantity and program complexity. In case of measurement the software matrices, its need for us to analysis of software quality and products. On the other hand, we known that complexity program include many defects and consuming of source cost. So, we apply to complexity model using of the program complexity, control structure and volume matrices, interface metrics, process complexity metrics method. In this paper, we represent that the analysis of fault data detected during the system test. Also, we analysis of program control structure and interface, volume matrices in various aspect of switching software. Others, their results utilized similar of project and system development.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.393-399
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• 2009

This paper introduces an automated tool named Advanced Stochastic Schedule Simulation System (AS4). The system automatically integrates CPM schedule data exported from Primavera Project Planner (P3) and historical activity duration data obtained from a project data warehouse, computes the best fit probability distribution functions (PDFs) of historical activity durations, assigns the PDFs identified to respective activities, computes the optimum number of simulation runs, simulates the schedule network for the optimum number of simulation runs, and estimates the best fit PDF of project completion times (PCTs). AS4 improves the reliability of simulation-based scheduling by effectively dealing with the uncertainties of the activities' durations, increases the usability of the schedule data obtained from commercial CPM software, and effectively handles the variability of the PCTs by finding the best fit PDF of PCTs. It is designed as an easy-to-use computer tool programmed in MATLAB. AS4 encourages the use of simulation-based scheduling because it is simple to use, it simplifies the tedious and burdensome process involved in finding the PDFs of the many activities' durations and in assigning the PDFs to the many activities of a new network under modeling, and it does away with the normality assumptions used by most simulation-based scheduling systems in modeling PCTs.

• The Journal of Information Technology and Database
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• v.7 no.1
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• pp.113-130
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• 2000

As software projects become larger and more complex, we need to take a more systematic approach to quality assurance. One plausible approach is the use of SQA (software quality assurance) methodology. Since this SQA methodology was not available, our study presents a SQA methodology. This methodology has a repository in which a set of quality assurance tasks with their related techniques and deliverables is defined and from which one can select only appropriate tasks based upon characteristics of project. This study further suggests a rule-based approach for supporting task selection process.

• Asia pacific journal of information systems
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• v.14 no.4
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• pp.23-47
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• 2004

This study was tried for the improvement of software process ability of the software firms, and analyzed empirically the impact that a software process infrastructure level influences on the software process level and process performance. The questionnaire were developed and data were collected from the process improvement correspondences or project quality managers of the 78 software firms. The result was shown that management-organization infrastructure was composed of software process improvement organization's role and activity, process standard and education, management system and supporting, management guides and procedures. And organization's standard development procedure or criteria, process asset, process support tools were included in technical infrastructure. This study provides that some components of software process infrastructure had an significant influence on the process level, process infrastructure management level, and software process performance.

• Journal of Information Technology Applications and Management
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• v.20 no.3
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• pp.1-18
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• 2013

Software architecture is the blueprint for a software system and should provide consistent guidelines for design, implementation, and maintenance throughout the entire lifecycle of the system. Components, interactions between the components, well-formed structure, reasons, and various perspectives reflecting various stakeholders' concerns changing through the phases of software lifecycle are the key elements of software architecture. The architect identifies and engages the stakeholders, understands and captures stakeholder's concerns including those regarding life cycle, and lets the concerns reflected in the architecture. To do so, architect should take into consideration various contextual elements regarding the system too. We make an extended list of the elements, especially those of business application software architecture, that the architect should take into consideration and construct a model of the relationships between the elements.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.23-46
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• 2016

With the increasing socio-economic value of an open collaboration over the Internet, it has become significantly important to successfully manage open source software development program. Most of the previous research have focused on various factors that influence the performance of the project, but studies on how the project owners recognized as "leader" affect the outcome of the project are very limited. This research investigates how individual and governance characteristics of an owner influences the performance of project based on impression formation and social capital theory. For a data set, we collect 611 Repositories and the owner's data from the open source development platform Github, and we form knowledge sharing network of an each repository by using social network analysis. We use hierarchical regression analysis, and our results show that a leader, who exposes a lot of one's personal information or who has actively followed and showed interests to communicate with other developers, affects positive impacts on project performance. A leader who has a high centrality in knowledge sharing network also positively affects on project performance. On the other hand, if a leader was highly willing to accept external knowledge or is recognized as an expert in the community with large numbers of followers, the result show negative impacts on project performance. The research may serve as a useful guideline not only for the future open source software projects but also for the effective management of different types of open collaboration.