• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.147-155
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• 2020

System support software is one of the software that makes up ship combat management system and has the characteristics of being mounted in the combat management systems of all ships but with little functional change. However, despite these characteristics, software modifications due to equipment, etc. are inevitable in the application of new ships. Modification of software causes software reliability testing which is a key factor in increasing development costs. In this paper, the structure of the existing system support software was analyzed to identify and supplement the code change factors, and the system support standardization architecture was designed. The feature model elicited common and variable elements of system support software, and applied white-box reuse to improve software design. In addition, the results of comparing existing system support software with the new architecture in terms of development elements and time to perform reliability test were presented to verify the effectiveness of the new one.

• Journal of Applied Reliability
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• v.17 no.4
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• pp.296-304
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• 2017

Purpose: Recent weapon systems in defense have increased the complexity and importance of software when developing multifunctional equipment. In this study, we analyze the accuracy of the proposed software reliability model when applied to weapon systems. Methods: Determine the similarity between software reliability analysis results (prediction/estimation) utilizing data from developing weapon systems and system failures data during operation of weapon systems. Results: In case of a software reliability prediction model, the predicted failure rate was higher than the actual failure rate, and the estimation model was consistent with actual failure history data. Conclusion: The software prediction model needs to adjust the variables that are appropriate for the domestic weapon system environment. As the reliability of software is increasingly important in the defense industry, continuous efforts are needed to ensure accurate reliability analysis in the development of weapon systems.

• International Journal of CAD/CAM
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• v.11 no.1
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• pp.1-10
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• 2011

Product lifecycle management (PLM) is a new business strategy for enterprise's product R&D. A PLM system holds and maintaining the integrity of the product data produced throughout its entire lifecycle. There is, therefore, a need to build a safe and effective product data model to support PLM system. The paper proposes a domain-based product data model for PLM. The domain modeling method is introduced, including the domain concept and its defining standard along the product evolution process. The product data model in every domain is explained, and the mapping rules among these models are discussed. Mapped successively among these models, product data can be successfully realized the dynamic evolution and the historical traceability in PLM system.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.175-182
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• 2018

In this paper, we propose a software education ecosystem model for activating software education donation. First, in order to investigate current software education donation status, we will conduct a survey on software education donors and analyze the results. 39.6% of the software education donors responded that they were introduced to software education donation activities through their affiliated companies, institutions, organizations. Therefore, it can be seen that the promotion of software education donation activities is the most effective by promoting through software companies, organizations, and organizations and using human networks. The subjects of software education donation activities were the highest at middle school students (73.9%), and the contents of software education donations were the highest at programming practice (63.3%). Donors' satisfaction with software education donation activities was 57.9%. The social support for SW education donors was in the order of software education contents support, activity cost support, equipment and network support, and place sponsorship. 87.4% of donors were willing to continue to donate to software education. The reason why they did not want to continue donating software education was 'lack of personal time' (65.4%). Therefore, it is necessary to develop appropriate social support and incentive system to overcome shortage of personal time in order to activate software education contribution. In order to promote sustainable software education donations, it is essential to establish a virtuous circle of software education donation ecosystem based on cooperation and solidarity with various organizations such as government, corporations, institutions, universities and civil society organizations.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.171-180
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• 2012

Since software and hardware integration has became a strategic tool for companies to innovate their products, an information system that can comprehensively manage software and hardware integrated product development is critical for the current product development. This paper proposed a product data model that can support modules of related software and hardware parts in Product Data Management(PDM) integrated with Software Configuration Management(SCM). The model allows engineers to define software and hardware product structure independently, and support the integration module that can summon related software and hardware parts to build a comprehensive module for collaboration. Through the integration module, engineers can identify and examine the effectiveness of their design alternatives to other related parts form different disciplines. The product data model was implemented as a prototype PDM system and tested with an example robotics product.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.5 no.4
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• pp.18-25
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• 1996

In this study, we have developed the stereolithography system that supports the development of a products. This paper presents the development of the stereolithography system. The system is composed of hardware, software and control part. The software converts a STL file to NC data and displays the monitoring figure in control part. The hardware part deals with structure of machine. The most important theme in this paper is LG-SLCAM software. This software can generate NC data and scanning condition data from a STL file semiautimatically. On the basis of three diensional shapes, it makes data for support structure from STL file. The effectiveness of using out stereolithography system is confirmed by processes of good development.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.235-245
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• 2011

Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

• Nuclear Engineering and Technology
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• v.38 no.3
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• pp.259-276
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• 2006

As the use of digital systems becomes more prevalent, adequate techniques for software specification and analysis have become increasingly important in nuclear power plant (NPP) safety-critical systems. Additionally, the importance of software verification and validation (V&V) based on adequate specification has received greater emphasis in view of improving software quality. For thorough V&V of safety-critical systems, V&V should be performed throughout the software lifecycle. However, systematic V&V is difficult as it involves many manual-oriented tasks. Tool support is needed in order to more conveniently perform software V&V. In response, we developed four kinds of computer aided software engineering (CASE) tools to support system specification for a formal-based analysis according to the software lifecycle. In this work, we achieved optimized integration of each tool. The toolset, NuSEE, is an integrated environment for software specification and V&V for PLC based safety-critical systems. In accordance with the software lifecycle, NuSEE consists of NuSISRT for the concept phase, NuSRS for the requirements phase, NuSDS for the design phase and NuSCM for configuration management. It is believed that after further development our integrated environment will be a unique and promising software specification and analysis toolset that will support the entire software lifecycle for the development of PLC based NPP safety-critical systems.

• Nuclear Engineering and Technology
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• v.54 no.5
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• pp.1635-1643
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• 2022

STPA (System-Theoretic Process Analysis) is a widely used safety analysis technique to identify UCAs (Unsafe Control Actions) resulting in potential losses. It is totally dependent on the experience and ability of analysts to construct an information model called Control Structures, upon which analysts try to identify unsafe controls between system components. This paper proposes a formal approach to support the manual identification of UCAs, effectively and systematically. It allows analysts to mechanically extract Process Model, an important element that makes up the Control Structures, from a formal requirements specification for a software controller. It then concisely constructs the contents of Context Tables, from which analysts can identify all relevant UCAs effectively, using a software fault tree analysis technique. The case study with a preliminary version of a Korean nuclear reactor protections system shows the proposed approach's effectiveness and applicability.

• Journal of Software Engineering Society
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• v.25 no.2
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• pp.29-34
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• 2012

Quality control in medical is getting very important issue so that the importance of CDS(Clinical Decision Support) System has been increased. Local clinics as well as big hospitals are required to implement the CDS System. But the cost and complexity of CDS system implementation is so high since many different activities including knowledge authoring, software development, and integrating the legacy system are necessary. In this paper, we suggest the CDS system architecture to be sharable and interoperable and evaluate the availability and efficiency of this architecture.