• IE interfaces
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• v.16 no.3
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• pp.362-374
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• 2003

The major objective of this paper is to empirically examine the effect of process maturity on the performance of industrial R&D projects. Process maturity, a fundamental concept of the Capability Maturity Model developed by Software Engineering Institute, represents the essential of Total Quality Management (TQM). Based on literature, our research model constructs process maturity in terms of structured process, goal setting and controlling, metrics, and process learning; and links it to the R&D performance that consists of technical, commercial and managerial successes. The model also includes firm size as a moderator of different effects that process maturity may have across firms. Measures for process maturity are based on the best practices identified in literature. Data are obtained from 77 successful R&D projects carried out by Korean manufacturing firms. Multiple regression and t-test are used to test proposed hypotheses. Findings are as follows. (1) In the R&D process, process maturity partially contributes to the performance of R&D projects. More specifically, goal setting and controlling-related practices drive both technical and commercial successes, while process learning-related practices drive commercial success. In contrast, traditionally emphasized elements such as structured process or metrics are found not to be significant. (2) The degree of process maturity is significantly higher in large firms. (3) Process maturity impacts on commercial success in the case of large firms, whereas it does on technical success in the case of small firms. The results imply that the TQM principles are partially associated with R&D performance, and the nature of benefit from high maturity could vary according to firm size.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.335-346
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• 2013

With the overwhelming development of information technologies, the need for software development that can deal with diversified and complex business processes has increased dramatically. As a result, companies prefer softwares that can handle far more complex processing ability and also it should be stable as well as easier to maintain. These ambivalent requirements keep the software development organizations from assessing the quantitative abilities, so that under the support of the U.S. Department of Defense the Capability Maturity Model (CMM) and Capability Maturity Model Integration (CMMI) have been developed. The CMMI upper levels for the software development companies will be evaluated to be excellent and authenticated, which drives the companies to get and maintain high levels of maturity. In this paper, a case study for a domestic software company has been exploited how to achieve CMMI level 4 and what kind of factors have been played an effective role. These issues at the domestic and international software and maintenance program, can influence the trustworthiness and marketing effects for the global market. In this paper, the company's actual case study will give clues to find out the important factors for the development and maintenance of software companies maturity levels.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.2
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• pp.235-242
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• 2010

DSTC(Defense Systems Test Center) in ADD(Agency for Defense Development) performs a test for various kinds of weapon system. In order to provide accurate test measurement data relating to the weapon system's performance with customer, A reliable test process and an objective analysis of the measurement data are required. DSTC is trying to apply CMMI(Capability Maturity Model Integration) Ver 1.2 in a test process. In this paper, we present the result of CMMI Engineering Process Area Modelling of Test Process.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.87-93
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• 2021

As the portion of modern weapons systems equipped with electronic components increases, the presence of embedded software has also increased, subsequently drawing interest in quality management and development methods. Unlike mechanical systems, software is logically intangible, hard to troubleshoot, and hard to reuse, making it hard to utilize limited resources when exposed to failures. The United States had successful results in establishing the Capability Maturity Model (CMM) by studying and applying separate processes for development and quality management of defense software. South Korea has also established, and utilizes, a standard of development and quality management for defense software based on international standards. However, some say those standards still remain at a basic level, and should be modified along with the progress in software. If the standard stays at a basic level, compared to software progression, the cost to reuse and restore resources will increase exponentially. This paper discusses improvement in the test processes for defense software through the Test Maturity Model-integration (TMMi)-derived from the CMM-and presents a blueprint for defense software quality management.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.668-673
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• 2007

We propose the design of the warfighting experiment process for software intensive systems using the intelligent maturity model and suggest the application results of the target searching capability in smart UAV. For this, we design the intelligent maturity model to evaluate the intelligent degree of the software intensive systems considering the domain and intelligent level. Then we classify the IS0/1EC-12207 process and CMMI process as LITO domain for designing the warfighting experiment process, map the classifed process to the five factors of the warfighting experiment and derive the process as warfighting experiment element and phase. Based on the derived process, we design the warfighting experiment process using the IDEF0. Finally we apply the proposed process to the target search capability and suggest the results which are required to develop and acquire the smart UAV.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.436-440
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• 2008

Evaluating the work process of the organization is necessary to improve efficiency and make high quality of results. As size of construction projects are bigger, it is also applied to design firm. By applying efficient process, design team can reduce rework and waste. To make systematic process and keep a continuous progress, process evaluation is required. On this study, CMMI(Capability Maturity Model Integration) concept is benchmarked. Originally CMMI is suggested to evaluating capability of work process of Soft Ware developing organization by SEI(Software Engineering Institute). From CMMI system, direction of making evaluating method of design project performing team is drove. After worked out the evaluation method of capability maturity of process in design team, it could contribute making progress in the design process and satisfying client.

• Korean Journal of Computational Design and Engineering
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• v.21 no.3
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• pp.281-295
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• 2016

Lately, the management of domestic BIM performance is quite lacking, as the evaluation and management data from successful cases of BIM implementation both on projects and in companies, and related effects (time, cost and other physical gains) are not well kept for future use in BIM development. In order to overcome the above obstacles, a systematic approach to evaluating BIM adoption with focus on particular elements like BIM implementation environment and processes, and the physical factors yielded by BIM, is necessary. In this study, objective and detailed assessment indicators and weights that are appropriate for the domestic situation were derived through research for purposes of developing a web-based BIM maturity measurement program that is tailor-made for the Korean construction atmosphere. Through a company's self-maturity measurement, excellent quality of BIM deliverables and output can be achieved and managed. Furthermore, the domestic BIM capacity can gradually increase since design firms' BIM capability can be judged during procurement basing on measurement indicators.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.725-732
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• 2016

To develop large-scale complex systems, many organizations have attempted to improve the processes specified in systems engineering (SE) and project management (PM) by adopting CMMI (Capability Maturity Model Integration). On the other hand, most domestic organizations that already acquired CMMI level 3 have focused on SE&PM practices while providing less investment in building up the environment for institutionalizing those processes. In such organizations, the process maturity without advancing to institutionalization can be neither enhanced nor maintained. To resolve the problem, the following remedies can be suggested. A standard process should first be defined to meet the business mission of the organization and to carry out the process successfully, the people should be properly trained and the appropriate tools be provided. In this study, a maturity model to accomplish institutionalization was examined based on the aforementioned P-P-T (Process-People-Tool) concept. The model proposed would be useful in developing strategies and plans for process institutionalization when the organizations are in the preparation stages for a CMMI certificate or have already acquired one.

• Journal of the Korean Society of Systems Engineering
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• v.7 no.1
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• pp.9-21
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• 2011

Assuming that the Capability Maturity Model Integration for Development v1.2 (CMMI) could be applied to an organization more effectively if the content similarities among practices were improved in terms of structure and composition, this paper presents the analysis of the correlations between the CMMI Specific Practices (SP) and Generic Practices (GP) for the Maturity Level 2 and 3 Process Areas using the Chi-square independence test. According to the analysis, a 22.2% correlation was observed. To minimize the problem of repeatedly applying similarities, 6 GPs that are highly correlated with the SPs were grouped together. Then, three different improvement plans: 1) development of a standard template-based project plan, 2) establishment of a configuration management system based on open source software to control work products and leverage experience, and 3) establishment of project assurance through an independent quality assurance-based organization and intensive review by higher-level management - were defined.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.