• Journal of the Korean Society of Industry Convergence
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• v.25 no.2_2
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• pp.247-255
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• 2022

Robot Process Automation (RPA) is a computer technology called Robotic Process Automation, a form of business process automation based on the concept of software robots or artificial intelligence (AI) walkers. In general, in traditional workflow automation tools, software developers design software that creates a set of actions to automate tasks and interfaces for the back-end systems using internal APIs or dedicated script languages. However, in RPA software, automation can be implemented by configuring an operating processor as if the general user is directly performing the task of the application. In other words, it can be said that it is a suitable development method for automating simply repetitive tasks rather than developing specific programs in which all necessary functions are implemented, as in general software development. Thus, this is more appropriate for configuring and automating RPA software in traditional manufacturing companies that are not easy to develop and apply smart factories or high-end AI software. Therefore, this research aims to analyze the requirements required at the actual manufacturing companies, focusing on the manufacturer's case in Changwon, Gyeongsangnam-do, called SinceWin Co., Ltd., and to examine the possibility of RPA software in the manufacturing companies by implementing actual RPA software that supports office automation. Through the research, it was confirmed that the actually implemented RPA software met the requirements of the company and helped manufacturer practice significantly by automating the parts that were worked error-prone and manually periodically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.1 no.1
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• pp.55-62
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• 2000

Factory automation of enterprise has become one of the most important method that acquire competition power. Therefore, it is necessary to evaluate quality of automation software for quality enhancement of factory automation system. duality is affected to technical quality of software in automation of making. In this study, we established a quality evaluation system, evaluation Process and metrics for factory automation software, and implemented quality evaluation tool which can support quality progress of automated software.

• Journal of Information Technology Applications and Management
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• v.27 no.6
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• pp.101-116
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• 2020

This study attempts to derive critical success factors and prioritize activities for implementing the automation of software test. Software testing proceeds in five steps of test plan, test case design, test scripting & test environment setup, test execution & evaluation, and test closure. From the literature, twenty influence factors in the five steps were identified. Focus Group Interviews with ten experts in software testing selected fourteen factors on the basis of importance and feasibility. Some factors were further divided to clarify their meanings and the number of influence factors finally became twenty one. A survey on the influence factors was conducted with 75 IT professionals. An importance-feasibility analysis was applied to the survey responses and classified the influence factors into four groups of essential factors, critical factors, low priority factors, and minimal factors. Essential factors include objectives for test automation, strategies for test automation, test automation training, test automation education, setting up test automation environment, setting up test environment, test automation tool selection. Critical factors include management's continued support, management's continued interest, role of automation engineers, and skills of automation engineers. This result suggests that a lot of efforts should be put into SW test plan for the successful SW test automation and SW automation should proceed in consideration with the priorities and resource consumption.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.1477-1478
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• 2004

Science the change of development methods and environment of the software is rapidly kept going in industry, previous manual test methods will not be able to guarantee the quality of software. Therefore the software test automation tools is being developed actively. And many of the tools which is reliable is applied and used in domestic organizations. Indirect test techniques currently are used For the improvement of the software quality, such as formal specification and design, structural programming. And also the various do direct test techniques are used to the measurement of software quality through the fault detection and modification, such as black box, which box and test automation tools. In this survey, the software test automation tools which predicate and access the software quality at the software development phase for the improvement of the software quality should be introduced.

• International Journal of Contents
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• v.13 no.1
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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.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.89-99
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• 2005

The testing time and cost of developed software can be reduced by automation of the whole or part of testing process. Since the testing automation tools to be used currently have been developed without their interoperability, test case information such as test procedures, test data, and expectation of test results generated at the stage of test execution cannot be shared and reused in other testing automation tools, In order to reduce testing time and cost, in this thesis, we have proposed a software testing automation framework which makes it possible to share and reuse the test case information generated in testing process. To prove the availability and effectiveness of proposed testing automation framework, three testing automation tools that are available in current market were experimented by the test scenario. As a result of experiment, the testing time and cost could be reduced by sharing and reusing the test case information in software testing automation framework.

• 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.

• Proceedings of the KIEE Conference
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• 1999.11b
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• pp.303-305
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• 1999

This paper introduces the MMI software for Central Control System in the Distribution Automation System. It provides remote monitoring and real-time control of distribution through the use of remote terminal units(RTUs) graphically. Our MMI software for distribution automation displays a circuit operating map based on the distribution automation database, and overlays it with outage information from the feeder Automation software.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.155-170
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• 2018

This study examines a data-driven approach for software test automation at an online shopping site. Online shopping sites typically change prices dynamically, offer various discounts or coupons, and provide diverse delivery and payment options such as electronic fund transfer, credit cards, mobile payments (KakaoPay, NaverPay, SyrupPay, ApplePay, SamsungPay, etc.) and so on. As a result, they have to test numerous combinations of possible customer choices continuously and repetitively. The total number of test cases is almost 584 billion. This requires somehow automation of tests in settling payments. However, the record playback approach has difficulties in maintaining automation scripts due to frequent changes and complicated component identification. In contrast, the data-driven approach minimizes changes in scripts and component identification. This study shows that the data-driven approach to test automation is more effective than the traditional record playback method. In 2014 before the test automation, the monthly average defects were 5.6 during the test and 12.5 during operation. In 2015 after the test automation, the monthly average defects were 9.4 during the test and 2.8 during operation. The comparison of live defects and detected errors during the test shows statistically significant differences before and after introducing the test automation using the data-driven approach.

• Journal of Power Electronics
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• v.9 no.1
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• pp.100-108
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• 2009

Designing communication architecture for substation automation is a challenging and subtle task for visualizing substations in the digital world under the umbrella of IEC61850. Communication paradigms for substation automation are of critical importance because of two reasons; the communication arena is changing daily and opts for convenience and simple deployment at a lower migration cost and interoperability is one of the core constrains of IEC61850 for substation automation. This paper presents an analysis and outline of the crucial need for the deployment of Gigabit Ethernet in substations and also presents suggestions on how Ethernet technology can help in substation automation. Ethernet is one of the most pervasive communication technologies available and can provide a long term solution in the changing arena of communication. We have performed simulations in NS-2 to prove that our suggested communication paradigm is optimal in various regards with consideration of the constraints imposed by IEC61850.