• Journal of Information Processing Systems
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• v.17 no.5
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• pp.972-988
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• 2021

At present, DevOps environments are getting popular in software organizations due to better collaboration and software productivity over traditional software process models. Software artefacts in DevOps environments are vulnerable to frequent changes at any phase of the software development life cycle that create a continuous integration continuous delivery pipeline. Therefore, software artefact traceability management is challenging in DevOps environments due to the continual artefact changes; often it makes the artefacts to be inconsistent. The existing software traceability related research shows limitations such as being limited to few types of artefacts, lack of automation and inability to cope with continuous integrations. This paper attempts to overcome those challenges by providing traceability support for heterogeneous artefacts in DevOps environments using a prototype named SAT-Analyser. The novel contribution of this work is the proposed traceability process model consists of artefact change detection, change impact analysis, and change propagation. Moreover, this tool provides multi-user accessibility and is integrated with a prominent DevOps tool stack to enable collaborations. The case study analysis has shown high accuracy in SAT-Analyser generated results and have obtained positive feedback from industry DevOps practitioners for its efficacy.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.119-126
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• 2016

Software maintenance becomes extremely difficult, especially caused by multiple versions in project-based or customer-oriented software development methodology. For reducing the maintenance cost, reengineering to software product line can be a solution to the software which either is a family of products nevertheless little different functionalities or are customized for each different customer's requirement. At an initial stage of the reengineering, the most important activity in software product line is feature extraction with respect to commonality and variability from the existing system due to verifying functional coverage. Several researchers have studied to extract features. They considered only a single version in a single product. However, this is an obstacle to classify the commonality and variability of features. Therefore, we propose a method for systematically extracting features from source code and its change history considering several versions of the existing system. It enables us to represent functionalities reflecting developer's intention, and to clarify the rationale of variation.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.932-935
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• 2004

In this paper, we present a framework that is easy to develop, modify, maintain and extend a control and monitoring software for any kinds of instruments. The presented framework is composed of three XML documents (IID, MAP, and CMIML) and two tools (Virtual Instrument Wizard, Generator). Interface information about behaviors and states of instruments is written on IID. Mapping information between the interface information in IID and API of a real instrument driver is written on MAP. Finally information about control and monitoring software is written on CMIML. IID, MAP and CMIML are written with XML format to provide common usage and platform independence of the suggested framework. VI Wizard generates CMIML (platform independent intermediate document) using IID and existing CMIML, and Generator generates source code of a control and monitoring software (platform dependent code) automatically using CMIML and MAP. The suggested framework that automatically generates control and monitoring software based on GUI provides easy development and maintenance. Also, reusability can be increased by reusing platform independent software description documents.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.207-213
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• 2019

Assistance for the quality assurance management and developers to provide high quality software products. Using a bug record keeping system is exceptionally important in software progress, and it is followed vastly by majority of software producing companies in modern era. Regular application of a bug record keeping system is very helpful in developing software systems. We developed this system which helps the software testing team to keep a complete record of their testing activities during the software testing, also increases your confidence in the software quality, class and worth. Our proposed system offers trouble-free and effortless approaches to acquire desired information about bug, also produces different kinds of reports like summary reports, detailed reports etc. It gives facility to create, delete and update any project. Our developed application system is designed by using visual c# at front end and sql server 2008 management studio express at back end.

• Korean Management Science Review
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• v.9 no.1
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• pp.31-40
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• 1992

The size of software collection at any organization is increasing rapidly with the use of computer becomes popular for various applications. This trend points out the importance of proper 'catalog'or 'directory' for software collections, however, only 'title list' is found in practice. The problem of no proper directory with software collection would be more serious than the problem with book collection since browsing is not possible with softwares. Many of the expensive softwares will be a waste of money to purchase and to hold if no catalog about them is provided. In this paper the difficulties in applying AACR2 to software cataloging and the most important characteristic of computer software are discussed as well as presenting the necessity of localized information due to the requirement of a machine to be used, the difficulty using subject-based-call-number scheme, an expected way of searching software to design a location indicator, software qualifications to be cataloged, and so on. In addition, an analysis of randomly selected softwares after a cataloging practice is followed.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.77-86
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• 2018

Although separation of touching pigs in real-time is an important issue for a 24-h pig monitoring system, it is challenging to separate accurately the touching pigs in a crowded pig room. In this study, we propose a separation method for touching pigs using the information generated from Convolutional Neural Network(CNN). Especially, we apply one of the CNN-based object detection methods(i.e., You Look Only Once, YOLO) to solve the touching objects separation problem in an active manner. First, we evaluate and select the bounding boxes generated from YOLO, and then separate touching pigs by analyzing the relations between the selected bounding boxes. Our experimental results show that the proposed method is more effective than widely-used methods for separating touching pigs, in terms of both accuracy and execution time.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.988-990
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• 2018

최근 증강현실의 관심이 높아짐에 따라 다양한 분야에 증강현실을 접목시키려는 시도가 일어나고 있다. 따라서 본 논문에서는 모바일 증강현실을 이용하여 이용자에게 차량 부품에 대한 정보와 간단한 정비 방법을 제공하는 시스템을 제안한다. 구현에 있어서 Unity 3D와 증강현실 라이브러리 Vuforia를 사용한다. 본 논문에서는 알고리즘의 복잡도가 낮고 안정적이며 구현이 간편한 마커를 사용하여 3D 좌표를 추출한다. 사전에 차량 각 부품에 맞게 마커를 제작하여 등록한 뒤 부착된 마커를 모바일 카메라로 인식하여 지정된 3D 좌표에 텍스트, 이미지 및 동영상을 띄워 제공한다. 이렇게 제작된 시스템은 어플리케이션 사용자에게 보다 직관적으로 자동차에 대한 정보와 간단한 정비 방법 등을 제공할 수 있으며 나아가 차량 정비 교육 등에도 충분히 활용 가능할 것으로 예상된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.642-644
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• 2014

정보의 폭발적인 증가로 인해 사용자들은 오히려 원하는 정보를 빠른 시간에 얻는 것이 힘들어졌다. 따라서 이 문제를 해결하기 위한 다양한 방식의 새로운 서비스들이 제공되고 있다. 추천 시스템 중에서 영화를 추천해주는 방법에는 사용되는 알고리즘에는 협업필터링 방법이 가장 성공한 알고리즘으로 사용되고 있다. 협업 필터링 방법은 사용자가 자발적으로 입력한 선호도 평가치를 바탕으로 추천 하고자 하는 사용자와 취향이 비슷하다고 판단되는 사람들 즉, 최근접 이웃을 구하고 최근접 이웃의 선호도 평가치를 바탕으로 사용자에게 영화를 추천을 해주는 기법이다. 그러나 협업 필터링에는 몇 가지 대표적인 문제점이 있으며 희박성 및 확장성, 투명성이 있다. 본 논문에서는 영화 추천 시스템에서의 협업필터링의 희박성 문제를 보완하고자 개개인의 성향을 반영하여 효율이 좋은 추천 방법을 제안하고 하둡에서 성능평가를 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1778-1781
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• 2015

본 논문에서는 최근 이슈가 되고 있는 마인드 컨트롤 기술을 이용하여 RC 카를 움직이는 기술에 대하여 설명한다. 사회적으로 주의력 결핍 과잉행동 장애(ADHD)를 갖는 사람이 늘어나고 있으며, ADHD는 여러 가지 치료 기술이 있지만 어릴수록 놀이 치료 등을 사용하는 것이 좋다. 본 논문에서 뇌파측정기를 이용하여 뇌파를 모은 뒤 K-평균 알고리즘과 재 클러스터링을 통하여 방향 뇌파를 데이터화하고, 그 이후에 데이터화 된 방향 뇌파들을 토대로 RC카를 움직이는 기술 제안하였다. 개발된 기술의 경우 성능이 높게 나타나지 않았지만, 앞으로 이 기술이 더 발전한다면, 아동의 놀이 등에 활용하여 ADHD도 효과적으로 치료할 수 있을 뿐만 아니라, 실제 자동차 시스템에 적용하는 등 다양한 응용이 가능할 것으로 생각된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.365-368
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• 2010

LCD 모니터의 백라이트로 CCFL 형광체를 많이 사용하고 있으나 그 불량여부는 육안에 의존하고 있다. 그러나 육안 검사는 CCFL 현광체의 불량에 대한 일관성 있는 기준이 결여되고, 노동집약적인 검사로 인해 산업적 재해가 발생할 수 있다. CCFL 불량유무를 자동 판별하기 위해서는 물리적 촬영환경과 자동검출 알고리즘이 필수적이다. 본 논문에서는 CCFL 형광체의 불량을 자동으로 검사하기 위한 촬영환경을 설명하고, 그 촬영환경에 알맞은 대표적인 불량검출 알고리즘을 제안한다. 실험결과에 따르면, 알고리즘은 불량 판별율 98.86%와 과검율 3.34%의 성능을 보였다.