• 한국융합학회논문지
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• 제11권11호
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• pp.25-31
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• 2020

본 연구는 소프트웨어의 시험 평가에 있어 품질 특성에 대한 가중치를 적용하는 방법을 연구한 것이다. 가중치 적용방안은 시험성적서의 텍스트를 분석해서 텍스트의 빈도에 따른 비율을 소프트웨어 시험 성적의 품질 특성에 대한 가중치로 활용한다. 본 연구의 결과에 대한 타당성 검토는 개발자와 사용자를 중심으로 소프트웨어의 중요도를 평가하게 한 설문조사의 결과와 텍스트 분석의 빈도분석 결과를 비교해서 검토했다. ISO/IEC 25023에서 제시한 8가지 품질 특성을 기반으로 품질을 측정할 경우 동일한 가중치를 적용해서 소프트웨어 품질을 평가하는 것에 비하여 본 연구의 결과는 소프트웨어 특성을 고려한 소프트웨어 품질 측정 결과이므로 소프트웨어 시험 평가에 대한 품질 측정의 타당성이 높아진다고 할 수 있다.

• 한국CDE학회논문집
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• 제19권4호
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• pp.434-442
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• 2014

Most manufacturing enterprises create CAD data as a result of the product/part design process; however, the CAD data is being utilized only for production activities. Besides the processes directly related to manufacturing such as design and production, the CAD data is an important resource that can be used in variety of services (e.g., catalog production and production manuals) for manufacturing enterprises. This study proposes a software platform that can support a wide range of services for manufacturing companies in an efficient and productive way. The software platform was designed based on the functions identified by requirement analysis. The platform consists of four layers: data model layer to manage relevant data; library layer and common function layer to configure services; and application layer to install and run the software. Finally, this study evaluates the validity of the proposed platform architecture by applying it to the digital catalog system.

• 한국컴퓨터정보학회논문지
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• 제22권1호
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• pp.143-151
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• 2017

In this paper, we suggest a method utilizing OSHW(Open Source HardWare) in order to raise up students who are competent in IT convergence and integration as a basic research to improve the university software education. Software education cannot be too much emphasized in the age of big change of Fourth Industrial Revolution. It hardly seems to have changes in the software education area of university where has to train competent technicians to be deployed into the industrial field, although software education is planned even in elementary, middle, and high school. In this situation, we expect that utilizing OSHW in software education can result in gaining a meaningful effect. However, we don't have various and systemic approach which use it as a education system component, unlike the response and necessity OSHW market. Therefore in this paper we suggest models which constitute software education environment based on OSHW and exemplify how to use it in each model. In addition, we compare and analyze each model in order to give a criteria to choice one of them according to the condition.

• 한국IT서비스학회지
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• 제11권4호
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• pp.295-308
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• 2012

Software and Systems Product Line(SSPL) is a paradigm that has been developed and applied by European Union(EU) to achieve the productivity and competitiveness of EU industries on the world market. It is not just a simple system or software development methodology, but a sophisticated technology requiring capabilities for a high level of mass customization, platforms, processes and convergence of software and systems. EU has applied SSPL for the five selected industrial sectors including aerospace, automobile, medical equipment, consumer electronics and telecommunication equipment since 1990s and led the way to other industry sectors to stimulate the application of SSPL from 2006. In order for Korea to secure competitiveness in the manufacturing and service industries in the competitive borderless market, it is essential to gain the high level of capabilities for software development and convergence of software and systems. SSPL can be a powerful means to achieve this end. This paper discusses the paradigmatic concept of SSPL, how EU's major industries and companies have secured competitiveness through SSPL, key capabilities that are necessary for successful institutionalization of SSPL in Korea, and finally suggestions on core strategies to materialize the benefits of SSPL for Korea.

• 인터넷정보학회논문지
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• 제22권5호
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• pp.27-33
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• 2021

With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.

• 인터넷정보학회논문지
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• 제22권6호
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3875-3891
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• 2021

In this study, a Velostat pressure sensor was manufactured to develop a plantar pressure measurement system and a C#-based application was developed to monitor and collect plantar pressure data in real time. In order to evaluate the characteristics of the proposed plantar pressure measurement system, the accuracy of plantar pressure index and personal classification was verified by comparing with MatScan, a commercial plantar pressure measurement system. As a result, the output characteristics according to the weight of the Velostat pressure sensor were evaluated and a trend line with the reliability of r² = 0.98 was detected. The Root Mean Square Error(RMSE) of the weighted area was 11.315 cm², the RMSE of the x coordinate of Center of Pressure(CoP_x) was 1.036 cm and the RMSE of the y coordinate of Center of Pressure(CoP_y) was 0.936 cm. Finally, inaccuracy of personal classification, the proposed system was 99.47% and MatScan was 96.86%. Based on the advantage of being simple to implement and capable of manufacturing at low cost, it is considered that it can be applied to various fields of measuring vital signs such as sitting posture and breathing in addition to the plantar pressure measurement system.

• International Journal of Contents
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• 제13권1호
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• pp.38-44
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• 2017

Increased use of software and complexity of software functions, as well as shortened software quality evaluation periods, have increased the importance and necessity for automation of software testing. Automating software testing by using machine learning not only minimizes errors in manual testing, but also allows a speedier evaluation. Research on machine learning in automated software testing has so far focused on solving special problems with algorithms, leading to difficulties for the software developers and testers, in applying machine learning to software testing automation. This paper, proposes a new machine learning framework for software testing automation through related studies. To maximize the performance of software testing, we analyzed and categorized the machine learning algorithms applicable to each software test phase, including the diverse data that can be used in the algorithms. We believe that our framework allows software developers or testers to choose a machine learning algorithm suitable for their purpose.

• 융합정보논문지
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• 제7권2호
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• pp.67-76
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• 2017

소프트웨어 활용의 수명주기가 단축되고, 다양한 형태의 사용자 기능을 지원하기 위하여 소프트웨어 아키텍처 개발의 중요성이 부각되고 있다. 소프트웨어 아키텍처가 새로운 기능을 갖도록 확장에 유연하고 안정적으로 개발된다면, 새로은 시장의 요구에 빠르게 대응할 수 있다. 본 연구에서는 새로운 기능 개발의 수명주기가 짧아지고 있고, 안정적인 소프트웨어 시스템 개발을 위하여 오픈 소스의 설계 복구를 통한 재사용을 고려하는 아키텍처 설계 기법을 제안한다. 소프트웨어 아키텍처를 기반으로 소프트웨어 시스템을 개발하기 위하여 오픈 소스를 사용하는 경우, 매우 신속한 개발이 가능해 질 뿐만 아니라, 이미 검증된 오픈 소스를 사용함으로써 개발 시스템에 대한 신뢰성도 증진시킬 수 있다.

• 공학교육연구
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• 제22권6호
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• pp.74-88
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• 2019

In recent years, the design has formed and operated convergence education in conjunction with many other academic fields, and ABEEK also encourages the participation of convergence engineering programs. The purpose of this study is to require design and software convergence major to operate program that accord engineering education certification criteria to develop a program outcomes evaluation system and examine its validity. The program outcomes evaluation system was developed in accordance with development research methods and procedures. As a result, developed evaluation system program outcomes for convergence-based program outcomes: convergence ability, creative thinking ability, entrepreneur ability, and design ability. Finally, it revised and supplemented them through expert validity examine. Expert validity review included 9 experts in engineering, IT engineering, education technology, and design. The validity, usefulness, intelligibility, universality, and explanatory power of the evaluation system were reviewed. The results of this study are expected to provide practical tools for operating ABBEK of convergence programs between design and engineering.