• Title/Summary/Keyword: 측정 메트릭

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Development of Metrics to Measure Reusability Quality of AIaaS

  • Eun-Sook Cho
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.147-153
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    • 2023
  • As it spreads to all industries of artificial intelligence technology, AIaaS equipped with artificial intelligence services is emerging. In particular, non-IT companies are suffering from the absence of software experts, difficulties in training big data models, and difficulties in collecting and analyzing various types of data. AIaaS makes it easier and more economical for users to build a system by providing various IT resources necessary for artificial intelligence software development as well as functions necessary for artificial intelligence software in the form of a service. Therefore, the supply and demand for such cloud-based AIaaS services will increase rapidly. However, the quality of services provided by AIaaS becomes an important factor in what is required as the supply and demand for AIaaS increases. However, research on a comprehensive and practical quality evaluation metric to measure this is currently insufficient. Therefore, in this paper, we develop and propose a usability, replacement, scalability, and publicity metric, which are the four metrics necessary for measuring reusability, based on implementation, convenience, efficiency, and accessibility, which are characteristics of AIaaS, for reusability evaluation among the service quality measurement factors of AIaaS. The proposed metrics can be used as a tool to predict how much services provided by AIaaS can be reused for potential users in the future.

A Performance Evaluation Framework for e-Clinical Data Management (임상시험 전자자료 관리를 위한 평가 프레임웍)

  • Lee, Hyun-Ju
    • Journal of Internet Computing and Services
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    • v.13 no.1
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    • pp.45-55
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    • 2012
  • Electronic data management is getting important to reduce overall cost and run-time of clinical data management with the enhancement of data quality. It also critically needs to meet regulated guidelines for the overall quality and safety of electronic clinical trials. The purpose of this paper is to develop the performance evaluation framework in electronic clinical data management. Four key metrics in the area of infrastructure, intellectual preparation, study implementation and study completion covering major aspects of clinical trial processes are proposed. The performance measures evaluate the extent of regulation compliance, data quality, cost and efficiency of electronic data management process. They also provide measurement indicators for each evaluation items. Based on the key metrics, the performance evaluation framework is developed in three major areas involved in clinical data management - clinical site, monitoring and data coordinating center. As of the initial attempt how to evaluate the extent of electronic data management in clinical trials by Delphi survey, further empirical studies are planned and recommended.

Performance Evaluation Metric for DPI Devices (DPI 장비 성능측정 메트릭)

  • Jeong, Youn-Seo;Hwan, Hong Jae;Nam, Ki-Dong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.318-319
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    • 2013
  • 수년간 스마트폰, 패드 등 모바일 단말의 증가와 P2P, mVoIP, IPTV, Kakao Talk 등 신규 서비스들의 등장 및 이용으로 트래픽이 급증하고 있다. DPI방식의 장비들은 패킷을 분석하고 이를 통해 특정 사용자나 서비스에 대한 제어가 가능하다. 최근 많은 통신사들은 서비스 및 트래픽 관리를 위해 DPI 시스템을 도입하고 있다. 본 논문에서는 DPI 기술과 장비들에 관하여 살펴보고 관련 장비의 성능측정을 위한 메트릭에 대하여 살펴보기로 한다.

Quality Benchmark of 360 Panoramic Image Generation (360 도 파노라마 영상 생성 기법의 품질 측정 기법 비교)

  • Kim, Soo Jie;Park, In Kyu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.212-215
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    • 2021
  • 본 논문에서는 6 Fisheye lens 원본 영상에 대하여 Insta360 stitcher, AutoStitch[4], As-Projective-AsPossible(APAP)[5] 스티칭 방법으로 360 도 파노라마 영상을 생성하고 기하학적 왜곡과 컬러 왜곡을 비교 평가한다. 360 도 파노라마 Image Quality Assessment(IQA) 메트릭으로 Natural Image Quality Evaluator(NIQE)[6], Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE)[7], Perception based Image Quality Evaluator(PIQE)[8], Feature Similarity(FSIM)[9] 그리고 high frequency feature 에 대한 Structural Similarity(SSIM)[10]을 측정하여 정량적 평가를 하며 정성적인 비교를 통하여 파노라마 영상의 품질과 평가 메트릭에 대한 벤치마크를 제공한다.

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The Software Reliability Growth Model base on Software Error Data (소프트웨어 오류 데이터를 기반으로 한 소프트웨어 신뢰성 성장 모델 제안)

  • Jung, Hye-Jung;Han, Gun-Hee
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.59-65
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    • 2019
  • In this paper, we propose a software quality measurement metrics of ISO / IEC 25023, which is newly proposed for software quality evaluation, to compare the difference with ISO / IEC 9126-2 which was used for software quality evaluation. In this paper, we propose a method for evaluating the quality of reliability based on the software reliability growth model among the eight quality characteristics presented in ISO / IEC 25023. Based on ISO / IEC 25023, software-quality evaluations demonstrate that there is some risk in evaluating reliability when based on data.

Improvement of Component Design using Component Metrics (컴포넌트 메트릭스를 이용한 컴포넌트 설계 재정비)

  • 고병선;박재년
    • Journal of KIISE:Software and Applications
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    • v.31 no.8
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    • pp.980-990
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    • 2004
  • The component-based development methodology aims at the high state of abstraction and the reusability with components larger than classes. It is indispensible to measure the component so as to improve the quality of the component-based system and the individual component. And, the quality of the component should be improved through putting the results into the process of the development. So, it is necessary to study the component metric which can be applied in the stage of the component analysis and design. Hence, in this paper, we propose component cohesion, coupling, independence metrics reflecting the information extracted in the step of component analysis and design. The proposed component metric bases on the similarity information about behavior patterns of operations to offer the component's service. Also, we propose the redesigning process for the improvement of component design. That process uses the techniques of clustering and is for the thing that makes the component as the independent functional unit having the low complexity and easy maintenance. And, we examine that the component design model can be improved by the component metrics and the component redesigning process.

Metric Analysis of Source Code Readability using Regression Analysis (회귀 분석을 사용한 소스 코드 가독성 메트릭 분석)

  • Choi, Sangchul;Kim, Suntae;Lee, Jeong-Hyu;Yoo, Hee-Hyung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.6
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    • pp.145-150
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    • 2017
  • Software maintenance accounts for a large portion of the software life cycle cost. In the software maintenance phase, comprehending the legacy source code is inevitable, which takes most of the time. Source code readability is a metric of the extent of code readers' difficulty of code comprehension based on the source code itself. The better the code is readable, the easier it is for code readers to comprehend the source code. This paper proposes novel source code readability metric to quantitative measure the extent of current source code under development, which is more enhanced measurement method than previous research that dichotomously judges whether the source code was readable or not. As an evaluation, we carried out a survey and analyzed them with Regression Analysis to find best parameters of the metric.

Proposal and Evaluation of Metrics for Measurement of Documents Reliability (개발산출물의 신뢰성 측정을 위한 메트릭의 제안과 평가)

  • Nam, Ki-Hyun;Han, Pan-Am;Yang, Hae-Sool
    • The KIPS Transactions:PartD
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    • v.8D no.3
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    • pp.247-256
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    • 2001
  • Software is developing toward having more large scale and many functions day by day. Also, user’s requirements level for software is being high, especially, requirements for software quality is being high continuously. Methods which can satisfy such User’s requirements is being studied in various viewpoint. First of all, study about quality evaluation system and methodology is energetically in progress in viewpoint to improve quality of software by feed-back software quality evaluation result to developers. In this paper, we define metrics according to a system and developed quality measurement tables according to internal characteristics system of quality characteristics, subcharacteritics, internal characteristics for reliability between quality characteristics of international standard, ISO/IEC 9126 about software quality. And we propose evaluation results about development products using internal characteristics.

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A Study on Reusability Metric of Framework for Embedded Software (임베디드 소프트웨어를 위한 프레임워크의 재사용성 메트릭에 관한 연구)

  • Cho, Eun-Sook;Kim, Chul-Jin;Lee, Sook-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.5252-5259
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    • 2011
  • Both Optimization and Reuse Technology are considered as core technologies handling the values of products in embedded software. Framework technology is a typical type of optimization and reuse technology. When we develop software based on framework, The effect of reusability as well as development productivity can be improved. However, currently the form of framework-based development is very poor in embedded software development. Furthermore, because framework development is also beginning stage in embedded software development, there are questions whether developing framework can bring reusability effect. In this paper, we propose metrics measuring reusability of framework which is designed for improving reusability of embedded software. As as result of applying proposed metrics into real design cases, we can obtain more effective results in framework-based design than existing design.

Guideline for Test Process Improvement of Test Organization Through Correlating TMMi with TPI NEXT (상관관계를 통한 조직의 테스트 프로세스 개선 가이드 방안)

  • Kim, Kidu;Park, Young Bom;Kim, R. Youngchul
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.12
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    • pp.823-828
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    • 2013
  • In this paper, it will improve in quality to adapt a right test process which is formalized from certification of TMMi Level. To do this, we suggest correlative relation through analyzing associations between TMMi and TPI next based on the previous research[10], which provides the guideline for enhancing test process level with measuring Test maturity model. Also schematize test maturity measurement through refining and improving the previous test maturity correlation metrics[6,8,9]. As one example with limited level, it shows the guideline to improve test process of one testing organization through improved correlation metrics with TMMi and TPI next.