• International journal of advanced smart convergence
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• v.9 no.4
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• pp.149-155
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• 2020

In the software industry of Korean Small and Medium-sized Enterprise(SME)s, the development process is often not mature. This may lead to failures in quality control and output management. As a result, the quality of the software can be degraded. To solve the problem, the software visualization technique, which is from the National IT Industry Promotion Agency Software Engineering Center can be applied. We have experienced with mentoring not only the visualization of software development process, but also various visualization process of SMEs. However, the existing software visualization method was difficult to install environment and its time cost was high. This paper proposes a software visualization environment through a cloud service along with a case of building a software visualization environment. We expect that this method will make it easier to build a visualization environment and improve the quality of SME software.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.607-620
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• 2018

The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.

• International Journal of Quality Innovation
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• v.1 no.1
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• pp.97-105
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• 2000

In this paper, a two-section method for measuring is introduced and the variation sources of measurement process are analysed. Measuring is a special process in general process. Various variation source must be firstly decomposed so that the statistical distribution law of measuring process can be established, and then implement monitoring control of the measuring process. A special method to obtain the measuring variation is discussed, and a monitoring control technique for measuring process is studied based statistical distribution. Towards the end, we briefly introduce software design for the analysis and control of a measurement process.

• Journal of Korea Multimedia Society
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• v.8 no.6
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• pp.744-752
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• 2005

When the multiple video sources are transmitted together through the channel of fixed bandwidth, an efficient picture quality control is necessary. This paper presents a joint picture quality control method to satisfy the user requirement by priority among the video sources. The better picture quality is assigned to the source of higher priority compared to lower priority. We obtain the bitrate for each source to have a required distortion level among the sources by using an approximate distortion-bitrate model for simple implementation. It is shown by simulation that the proposed bandwidth allocation method can keep almost the user-required picture quality among the sources in comparison to an independent bandwidth allocation method.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.1
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• pp.75-80
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• 2008

This paper presents a vision based autonomous inspection system for welding quality control of a RV sinking seat. In order to overcome the precision error that arises from a visible inspection by an operator in the manufacturing process of a RV sinking seat, the machine vision based welding quality control system is proposed. It consists of the CMOS camera and the NI vision system. The geometry of the welding bead, which is the welding quality criteria, is measured by using the captured image with a median filter applied on it. The image processing software for the system was developed using the NI LabVIEW software. The proposed welding quality inspection system for RV sinking seat was verified using experimentation.

• Journal of KIISE:Software and Applications
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• v.27 no.3
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• pp.217-226
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• 2000

In order to develop high quality software, software metrics have been made to assess the quality of software, and recently, many object-oriented metrics have been suggested for this purpose as well. However, research on the utilization of metrics to control software quality in a development process has been inadequate. This is due to the difficulty in assessing the significance of metrics in a software development process from the perspective of overall software quality. In this paper, we propose a method of applying metrics to a development process using the Hierarchical Software Quality Model(H-SQM) which is defined in terms of the products' special features. The method represents the H-SQM as the cause-and-effect diagram and changes the diagram to the process-analysis diagram. And it applies software quality metrics to each development stage by the process-analysis diagram. In this way, we could utilize the software quality metrics efficiently in order to improve the quality of software in the software development process.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.699-704
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• 2001

Developing a component-based software requires verified and standardized software components. This paper presents a component quality management (CQM) process. The process was developed and applied to the government-sponsored trial projects that developed software components. The process is composed of four phases：quality specification, quality planning, quality control, and quality evaluation. With this process, we can establish quality goals and focus our efforts on the activities to achieve the goals. A component quality model is also suggested to transform the implicit quality requirements into the measurable quality goals and to be used for the basis when we evaluate the quality of software components against the quality goals.

• The KIPS Transactions:PartD
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• v.13D no.2 s.105
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• pp.259-270
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• 2006

Because a medical embedded software is the software that control the medical devices that are relevant to a human life, it requires high qualify level. It is requires to develop and apply the quality test module that suitable for the requirements to meet the high quality requirements of the medical embedded software. Also, it needs to develop the process that complement the quality defects of software by feedback of the test result. In this study, we developed test module and quality inspection table which can test medical embedded software and produce result based on ISO/IEC 12119.

• Journal of KIISE:Software and Applications
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• v.26 no.12
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• pp.1455-1467
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• 1999

소프트웨어 품질을 정의하기 위한 여러 가지 소프트웨어 품질 모형(SQM : Software Quality Model)이 개발되어 왔다. 이 모형들은 두 가지 목적을 가진다. 한 가지는 소프트웨어 품질 측정이고, 또 다른 목적은 개발 프로세스에서의 소프트웨어 품질 제어이다. 국제 표준인 ISO/IEC 9126은 소프트웨어 측정을 위한 소프트웨어 품질 모형을 제시하였다. ISO/IEC 9126의 품질 모형은 사용 관점에서 소프트웨어 품질을 정의한 모형이다. 이 모형은 개발 프로세스에서의 품질 제어를 하는 측면에서는 불완전한 모형이다. 소프트웨어의 품질이 프로세스 내에서 어떻게 만들어지는지 볼 수 없는 모형이기 때문이다. 따라서, 개발 관점에서의 소프트웨어 품질 모형이 필요하다.본 논문에서는 사용 관점인 ISO/IEC 9126 품질 모형을 기반으로 하여 개발 관점에서의 소프트웨어 품질 모형을 제안한다. 이 모형은 ISO/IEC 9126과 같이 하위 품질 요소가 중복되지 않는 계층적 품질 모형이면서, 개발 프로세스 내에서 제어 가능한 제품 특성에 기반을 둔 개발 관점의 소프트웨어 품질 모형이다. 본 논문에서는 소프트웨어 품질 모형 구축 시, 품질 속성간의 선후조건관계를 설정하여 품질 속성간 중복되었던 제품 특성을 한 품질 속성 내 귀속시킨다. 품질 속성 별 제품 특성을 기반으로, 프로세스 내에서 제품 특성을 측정하는 메트릭스를 제안한다. 본 논문에서 제안한 품질 모형과 ISO/IEC 9126을 비롯한 기존 품질 모형과 비교 분석한다.Abstract Several SQMs(Software Quality Models) have been developed to define a software quality. These models have two goals. One is to measure a software quality, the other is to control a software quality. The SQM of ISO/IEC 9126 is defined from the user's viewpoint. This model is an incomplete model in controlling a software quality in the development process. Since this model cannot show how to build a high quality software, the SQM of the developer's view is needed.We suggest the SQM of the developer's view. This model is a completely hierarchical model and is based on product properties. For this model, we define implicative relations among quality attributes for 1:m relations of quality attributes and product properties. So, we solve the problem of a quality attribute overlapping with other quality attributes. We suggest metrics based on our SQMs. Further, we evaluate our SQM by comparing our SQM with other SQMs.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.1-8
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• 2021

With the rapid growth of intelligent devices and communication technologies, 5G network environment has become more heterogeneous and complex in terms of service management and orchestration. 5G architecture requires supportive technologies to handle the existing challenges for improving the Quality of Service (QoS) and the Quality of Experience (QoE) performances. Among many challenges, traffic steering is one of the key elements which requires critically developing an optimal solution for smart guidance, control, and reliable system. Mobile edge computing (MEC), software-defined networking (SDN), network functions virtualization (NFV), and deep learning (DL) play essential roles to complementary develop a flexible computation and extensible flow rules management in this potential aspect. In this proposed system, an accurate flow recommendation, a centralized control, and a reliable distributed connectivity based on the inspection of packet condition are provided. With the system deployment, the packet is classified separately and recommended to request from the optimal destination with matched preferences and conditions. To evaluate the proposed scheme outperformance, a network simulator software was used to conduct and capture the end-to-end QoS performance metrics. SDN flow rules installation was experimented to illustrate the post control function corresponding to DL-based output. The intelligent steering for network communication traffic is cooperatively configured in SDN controller and NFV-orchestrator to lead a variety of beneficial factors for improving massive real-time Internet of Things (IoT) performance.