• Journal of Institute of Control, Robotics and Systems
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• v.17 no.9
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• pp.908-915
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• 2011

As the requirement of user for robot functionality, the function and interface for controlling the robot system is more sophisticated and complicated. Accordingly development process of robot is more complicated and it takes much longer time to develop a robot system. Software development using project management tool is more important in software engineering because of the complexity of software, especially robot system. This paper proposes SEED (Software Engineering Equipment for Development), which is a web-based and integrated software engineering tool to provide independent tools for robot software development. SEED includes the document management tool, the software configuration management tool, the software testing tool on developing robot software and provide a functionality of collaborated and remote development due to WEB-based operations.

• Asia pacific journal of information systems
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• v.6 no.1
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• pp.241-267
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• 1996

The problems like exceeding estimated cost, late due-date, expensive maintenance, insuffiency of experts and low productivity are becoming emphasized related with the software development. In order to overcome these problems and to develop the highly qualified software within the limited resources, a project management tool is used. The purpose of this study is to develop a conceptual model of the project management system which can plan, analyze and control the software development projects effectively. The model is constructed with plan and track management system, cost management system and operation management system for the efficient project management. It is named by LSD-PMS : Large-scale Software Development Project Management System. We reviewed 5 cases of project management. LSD-PMS is evaluated and reviewed by the project managers in the field. It is proved that LSD-PMS is a tool which can help project managers develop software successfully given budget and time schedule. In the future, this system should be further developed as an integrated model with system implementation tools such as CASE products.

• 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 Internet Computing and Services
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• v.19 no.6
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• pp.73-82
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• 2018

We often experience complex presence of files within the compute environment. It could be an end-user's desktop environment or a professional part of file management. We would like to suggest one way to manage these different cases of duplicate files. It is a rule-based file management tool, and we want to use it as a tool to consolidate facility management log files. In this paper, we will describe the rule-based file management tools and show examples of how files are managed using them. We are interested in the management of the disaster environment and would like to apply this method to the management of log data related to facilities to be considered in the event of a disaster.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.137-145
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• 2004

The general software configuration management system shows lack of the properties and features of software development environment for multimedia due to its wide range to be covered. Multimedia software development environment has properties like repetitive analysis and simulation using visual programming environment where, beside support of elementary development functions, component or library can be combined and tested interactively. Moreover, the method to look fast and effective for component having similar function is required. In this paper, we present the system which supports the software configuration management method for a simulation tool and the system for the properties in the multimedia software development environment. And we relate our system to real simulation tool so as to check its ability as the software configuration management system for multimedia software development environment.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.367-369
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• 2002

소프트웨어 프로젝트의 경쟁력 프로젝트의 생명 주기 전반에 걸친 체계적인 관리를 통하여 유지될 수 있으며, 이러한 체계적인 관리는 경쟁력 있는 프로젝트의 개발 및 유지를 위한 하나의 전략적 기술(strategic technology)이다 본 논문에서는 프로젝트 생명 주기 전반에 걸쳐 프로젝트를 체계적이고 효율적으로 관리하여 고품질의 결과물을 생성하고, 이를 통한 결과물의 기술 및 시장 경쟁력을 높이기 위하여 당 연구부에서 개발하여 사용하고 있는 프로젝트 관리 및 지원도구인 SMART (Software Management Assistant and Reference Tool) 시스템을 소개한다.

• Journal of KIISE
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• v.45 no.3
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• pp.242-250
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• 2018

For high-quality software development, it is necessary to detect and fix the defects inserted. If defect management activities are not properly performed, it will lead to the project delay and project failure due to rework. Therefore, organizations need to establish defect management process and institutionalize it. Process standard models handle defect management in the area of project monitoring and control. However, small organizations experience difficulties in implementing and applying defect management process in a real situation. In this paper, we propose a defect management process for small organization which is designed in accordance with the characteristics of a small projects such as few participants and short development period. The proposed defect management process will be based on a tool chain with open source software such as Redmine, Subversion, Maven, Jenkins that support a defect management process and SW Visualization in systematic way. We also proposed a way of constructing defect database and various methods of analyzing and controlling defect data based on it. In an effort to prove the effectiveness of the proposed process, we applied the process and tool chain to a small organization.

• Journal of KIISE:Software and Applications
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• v.35 no.4
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• pp.234-244
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• 2008

Since the advent of Six Sigma in 1980's, Six Sigma is widely used in various industry areas, such as manufacturing, financial, government, and service, and proves its innovation ability and value by providing lots of success stories. Several researches have been conducted to adopt Six Sigma for Software Development and Software Quality Assurance-Software Six Sigma. Although the wide use of Six Sigma, there is no software tool to support the execution of Six Sigma Project. For this reason, the Quantitative Six Sigma Project Management is required to support for measuring and analyzing Six Sigma Projects, storing and reporting the results from Six Sigma Projects, and managing Six Sigma Projects through the whole process of, DMAIC or DMADV. In this paper, we introduce the design and implementation of a Quantitative Six Sigma Project Management Framework and Tool. The execution of Six Sigma Project based on Six Sigma Project Management Tool benefits the quantification, the systematization, and the integration.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.4
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• pp.118-127
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• 2003

An effective tool management system is one of the keys to maximizing the benefits of a computer integrated manufacturing (CIM). Tool management systems, however, are often tailored to the requirement of a highly automated system. Therefore, a different approach is needed for small and medium sized mold shops. This work deals with the implementation of tool management system for milling operations in small and medium sized CIM environment of injection mold production. In this paper, a distributed management approach is proposed for efficient tool management in relatively small machining shops in mold industry. And the design and the functions of the developed system are described.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.249-259
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• 2022

Project management and deployment has gone through a long journey from traditional and agile to continuous integration, continuous deployment and continuous monitoring. Software industry benefited with the latest buzzword in the development process, DevOps that not only escalates software productivity but at the same time enhances software quality. But the implementation and assessment of DevOps practices is expository as there are no guidelines to assess and improvise DevOps application in software industries. Hence, there was a need to develop a hybrid model to assist software practitioners in DevOps implementation. The intention behind this paper is to implement the already proposed DevOps hybrid model using suggested tool chains including Jenkins, Selenium, GitLab, Ansible and Nagios automation tools through Jenkins project management environment and plugins. To achieve this implementation objective, a java application is developed with a web-based graphical interface. Further, in this paper, different challenges and benefits of Jenkins implementation shall also be outlined. The paper also presents the effectiveness of DevOps based Model implementation in software organizations. The impact of considering other automation tools and models can also be considered as a part of further research.