• 제목/요약/키워드: Software Analysis

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A Curriculum Analysis on Math/Stat related courses in the Computer-Software Majors (컴퓨터-소프트웨어학과의 발전을 위한 수학 및 통계 관련 교과목 분석 및 제안)

  • Lee, Seung-Woo
    • The Mathematical Education
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    • v.47 no.2
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    • pp.225-232
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    • 2008
  • The purpose of this paper is to show how much the subjects based on the mathematics and statistics contribute to the curriculum and the education of the students majoring in engineer of the Computer-Software department, and to recognize the roles of mathematics and statistics in the Computer-Software department. In order to advance the world-class Computer-Software department, it is necessary for Math/Stat to ensure the role as a basis for the Computer-Software majors as well as to extend its role to relate the core studies of the Computer-Software majors. Consequently, the recognition of Math/Stat in the Computer-Software major will enable to establish the short or/and long-tern plan for student education.

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A Study on Software Quality Evaluation in Analysis Phase (분석단계에서의 소프트웨어 품질 평가에 관한 연구)

  • 장영숙;권영식
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.52
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    • pp.261-273
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    • 1999
  • It is booming to use computer and information owing to the information society. Therefore, software demand is increasing rapidly. Enhancing utility value depends upon software quality. Software quality measurement and evaluation are necessary to satisfy the users who are using computers. In the present time, ISO/IEC 9126 define 6 quality characteristics and 21 sub-characteristics including 40 inter quality characteristics. We developed software evaluation technique using the check list in accordance with the ISO/IEC 9126 in analysis phase. We evaluated the software quality in order to verify developing technique at S college. As a result of the evaluation, this college has found it necessary to maintain the software as soon as possible because academic systems are not adequate for users at this present time.

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Analysis of how Development Methodologies Influence the Potential Motivation of Software Developers (개발방법론이 개발직무의 동기유발성에 미치는 영향에 대한 분석)

  • Hwang, Soon-Sam;Kim, Sung-Kun
    • Journal of Information Technology Applications and Management
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    • v.17 no.2
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    • pp.1-18
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    • 2010
  • The Agile methodology is a new trend in software development. Nowadays enterprises have been adopting the agile methodology in an effort to deal effectively with rapidly changing user requirements. In most cases, much improvement was accomplished in the software development. Some studies have mentioned that the motivation of software developers is a contributing factor on the improvement. However, it is not known yet what aspects of the agile methodology get them to be motivated. The aims of this study are the comparison between the traditional methodologies and agile methodology and look into potential motivation of software developer and their jobcharacteristics. For the empirical analyzing, research data were collected by 77 developers of 4 domestic IT companies. The analysis shows that there is significant differences on developer's potential motivation according to what kind of methodology is used. Agile developers to be more motivated than others methodologies developers. It also shows in detail that what kinds of job characteristics of developer are different among them depending on methodologies.

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Development of MATLAB GUI Based Software for Monitoring Ionospheric Disturbances

  • Kim, Bu-Gyeom;Kang, Seonho;Han, Deokhwa;Song, Junesol;So, Hyoungmin;Kim, Kap Jin;Kee, Changdon
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.2
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    • pp.69-77
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    • 2019
  • This study introduces MATLAB Graphical User Interface (GUI)-based software to monitor ionospheric disturbances. This software detects ionospheric disturbances using Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) measurements, and estimates a location of the disturbance source through the detected disturbance. In addition, this software includes a sky plot making function and frequency analysis function through wavelet transform. To evaluate the performance of the developed software, data of 2011 Tohoku earthquake in Japan were analyzed by using the software. The analysis results verified that the ionospheric disturbances were detected through GPS and GLONASS measurements, and the location of the disturbance source was estimated through the detected disturbance.

Development of Korean Root Cause Analysis Software for Analyzing Patient Safety Incidents (환자안전사건 분석을 위한 한글 근본원인분석 소프트웨어 개발)

  • Choi, Eun-Young;Lee, Hyeon-Jeong;Ock, Min-Su;Lee, Sang-Il
    • Quality Improvement in Health Care
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    • v.24 no.1
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    • pp.9-22
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    • 2018
  • Purpose: The purpose of this study is to develop the Korean root cause analysis (RCA) software that can be used to systematically investigate underlying causes for preventing or reducing recurrence of patient safety incidents. Methods: We reviewed the existing guidelines and literatures on the RCA in order to figure out the RCA process. Also we examined the existing RCA softwares for investigating patient safety incidents to design the contents and interface of the RCA software. Based on the results of reviewing literatures and softwares, we developed a draft version of the Korean RCA software that can be easily used in Korean hospital settings by RCA teams. Results: The Korean RCA software consisted of several modules, which are modules for identifying patient safety incidents, organizing RCA team, collecting and analysing data, determining contributory factors and root causes, developing the action plans, and guiding evaluation. Conclusion: The Korean RCA software included optimized RCA process and structured logic for cause analysis. Thus even beginners in RCA are expected to easily use this software for investigating patient safety incidents. As software has been developed with the public financial support, it will be distributed free of charge. We hope that it will contribute to facilitating patient safety improvement activities in Korea.

Application of Safety Analysis and Management in Software Development Process (소프트웨어 개발 프로세스에서의 안전성 분석 및 관리 활동의 적용방안)

  • Kim, Soon-Kyeom;Hong, Jang-Eui
    • Journal of Convergence Society for SMB
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    • v.6 no.1
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    • pp.7-15
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    • 2016
  • As most devices in a wide range of automotive, aerospace, and missile have built-in software that controls the system behaviors, the safety of the software is growing in its importance. That is, the software safety has emerged as one of big issues because the threat of accidents caused by software malfunction is rising. Accident by software can be occurred from user mal-operation, but the fundamental reason of the accident comes from insufficient verification of the safety in software development process. Therefore, this paper presents how the software safety analysis and management activities should be done in the development process. In particular, we propose how to apply the safety analysis and management activities in the prototype or incremental development process.

A Comparative Study of Software Reliability Model Considering Log Type Mean Value Function (로그형 평균값함수를 고려한 소프트웨어 신뢰성모형에 대한 비교연구)

  • Shin, Hyun Cheul;Kim, Hee Cheul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.4
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    • pp.19-27
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    • 2014
  • Software reliability in the software development process is an important issue. Software process improvement helps in finishing with reliable software product. Infinite failure NHPP software reliability models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, proposes the reliability model with log type mean value function (Musa-Okumoto and log power model), which made out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on mean square error (MSE) and coefficient of determination($R^2$), for the sake of efficient model, was employed. Analysis of failure using real data set for the sake of proposing log type mean value function was employed. This analysis of failure data compared with log type mean value function. In order to insurance for the reliability of data, Laplace trend test was employed. In this study, the log type model is also efficient in terms of reliability because it (the coefficient of determination is 70% or more) in the field of the conventional model can be used as an alternative could be confirmed. From this paper, software developers have to consider the growth model by prior knowledge of the software to identify failure modes which can be able to help.

Human Normalization Approach based on Disease Comparative Prediction Model between Covid-19 and Influenza

  • Janghwan Kim;Min-Yong Jung;Da-Yun Lee;Na-Hyeon Cho;Jo-A Jin;R. Young-Chul Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.32-42
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    • 2023
  • There are serious problems worldwide, such as a pandemic due to an unprecedented infection caused by COVID-19. On previous approaches, they invented medical vaccines and preemptive testing tools for medical engineering. However, it is difficult to access poor medical systems and medical institutions due to disparities between countries and regions. In advanced nations, the damage was even greater due to high medical and examination costs because they did not go to the hospital. Therefore, from a software engineering-based perspective, we propose a learning model for determining coronavirus infection through symptom data-based software prediction models and tools. After a comparative analysis of various models (decision tree, Naive Bayes, KNN, multi-perceptron neural network), we decide to choose an appropriate decision tree model. Due to a lack of data, additional survey data and overseas symptom data are applied and built into the judgment model. To protect from thiswe also adapt human normalization approach with traditional Korean medicin approach. We expect to be possible to determine coronavirus, flu, allergy, and cold without medical examination and diagnosis tools through data collection and analysis by applying decision trees.

A Study on Software Static Analysis Method on IEC 62279 (IEC 62279 규격의 소프트웨어 정적분석에 관한 연구)

  • Jin, Zhe-Huan;Li, Chang-Long;Lee, Jae-Ho;Kim, Jae-Sik;Lee, Key-Seo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.4
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    • pp.513-519
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    • 2015
  • Static analysis is one of the software source code analysis tools. 9 static analysis methods of three groups are recommended by international electro-technical commission about software safety related standard in IEC 62279. In this paper we choose the proper static analysis method from IEC 62279 about the train wayside communication system, Shorten the time of railway signalling software development using LDRA tools. And it wil be useful to improve the effective development of the safety-related software.

Development of an Interactive Computer Graphic Software for the Education & Training of Power System Fault Analysis (전력계통 고장해석 교육 및 훈련을 위한 대화식 컴퓨터 그래픽 소프트웨어 개발)

  • 신중린;이욱화
    • The Transactions of the Korean Institute of Power Electronics
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    • v.4 no.1
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    • pp.35-42
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    • 1999
  • This paper describes the development of an interactive computer graphic software for the education and training of the power system fault analysis. The developed software is designed to increase the understanding of the fault analysis with ease and it is composed of the windows, graphic icons, and graphic representations for user-friendly environments. Specially an interactive scheme is given for user to simulate the fault analysis under the variety conditions. With this function, user can acquire the basic concepts of the power system fault study as well as the understanding of the impacts on the system by some faults. The proposed software is tested on a 16-bus sample system. The software will be useful for the education and training and training of the power system fault analysis.

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