• Title/Summary/Keyword: 품질 모델

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The Quality Evaluation Model of Software Component (소프트웨어 컴포넌트의 품질 평가 모델)

  • Kim, Ji-Hyeok;Kim, Soo-Dong
    • 한국IT서비스학회:학술대회논문집
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    • 2006.05a
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    • pp.307-313
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    • 2006
  • 소프트웨어 컴포넌트는 특정 도메인 내에서 패밀리 멤버들 사이의 공통 기능성을 구현한 것이다. 하나의 멤버를 위해 개발된 컴포넌트는 다양한 패밀리 멤버에서 재사용하기 어렵다. 그러므로, 컴포넌트를 개발할 경우에 다양한 멤버에 대해 고려해야 한다. 그러므로 소프트웨어 컴포넌트의 품질 측정은 성공적인 컴포넌트 기반 시스템 개발을 위한 중요한 선행작업이다. 본 논문에서는 소프트웨어 컴포넌트의 품질을 평가하기 위한 품질 평가 모델을 제안한다. 소프트웨어 컴포넌트를 측정하기 위해서 소프트웨어 컴포넌트의 특징을 식별하고, 식별된 특징을 기반으로 하여 소프트웨어 컴포넌트의 품질 평가 모델을 제안한다. 제안된 품질 평가 모델은 특성, 부특성, 메트릭으로 구성된다.

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An Evaluation Model of Game Software (게임 소프트웨어의 품질 평가 모델)

  • Jung, Hye-Jung
    • Journal of Internet Computing and Services
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    • v.8 no.6
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    • pp.115-125
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    • 2007
  • Game software is tremendous popularity in inside and outside of the country, so it rises market value. Therefore, it is important to study for the evaluation models of game software. In a general way, I think that ISO/IEC 9126 is the international standard of the software quality testing. Especially, game software quality has been more important on users and developers, so we need the compliance testing model of the game software. In this paper, we evaluate the game software quality objectively and quantitatively, we propose the software quality metrics of testing. Also, we propose the evaluation model of game software on the basis of international standard ISO/IEC 9126, six quality characteristic point of view. That is functionality, reliability, usability, efficiency, portability, and maintainability.

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The Development of a Mathematical model to evaluate Data Quality and an Analysis model to improve the Quality (데이터 품질평가를 위한 수학적 모델 및 개선을 위한 분석 모형 개발)

  • Kim, Yoeng-Won;Kim, Jong-Ki
    • Journal of Internet Computing and Services
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    • v.9 no.5
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    • pp.109-116
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    • 2008
  • The rapid change of computer and Internet environments produces a lot of data of various quality, Because this fact affects enterprise and organization, it demands the level evaluation on data quality, Thus, we propose mathematical model for quality evaluation on the base of data quality in this paper. And we propose the analysis model(web evaluation model, DQnA)) that analyzes and maintains data quality.

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Suitable IP Currency Quality Measurement Model in Ubiquitous Environment (유비쿼터스 환경에 적합한 IP 통화품질 측정 모델)

  • Choi Seung-Kwon;Lee Byeong-Rok;Sin Byung-Gok;Kim Sun-Chul;Cho Young-Hwan
    • The Journal of the Korea Contents Association
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    • v.6 no.8
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    • pp.20-29
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    • 2006
  • This paper proposes a quality measurement model for video phone service over IP environment. Proposed model enhances conventional E-Model by using quality analysis and this model is suitable for ubiquitous environment. This research measures video phone quality by applying bust packet loss and recency effect. It uses delay and recency effect for compensating actual quality and recognized quality of user using NR and UR factor. Simulation results show that this model can provide more precise results than conventional model by considering recency effect of video phone service quality measurement model.

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A Study on a Logical Quality Evaluation Model based on Application Open Source Software Characteristics (응용 오픈소스 소프트웨어 특징에 적합한 논리적 품질평가 모델에 관한 연구)

  • Kim, Ji-Hyeok;Rhew, Sung-Yul
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.73-82
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    • 2009
  • Open Source Software has over 60 percent of application software development but previous studies of objective quality model and characteristic to utilize Open Source Software appeared to be low and there are few studies regarding quantitative evaluation methods to evaluate Open Source Software. To solve these problems, in this paper, we propose a quality evaluation model, "Logical Open Source Software quality model", which is able to utilize for developing and maintaining application software and quantitative quality evaluation method that can utilize in the proposed model. The proposed Open Source Software quality model derives quality characteristics based on literature and it forms six main-features and twelve sub-characteristics by comparing with the quality characteristic of ISO/IEC 9126 and twelve evaluation metrics that can measure the metrics and the characteristics quantitatively. To verify efficiency of the proposed quality evaluation model, we apply the proposed quality evaluation to top 5 project management system (PMS) software in open source software community and prove its availability.

Taxonomy Framework for Metric-based Software Quality Prediction Models (소프트웨어 품질 예측 모델을 위한 분류 프레임워크)

  • Hong, Euy-Seok
    • The Journal of the Korea Contents Association
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    • v.10 no.6
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    • pp.134-143
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    • 2010
  • This paper proposes a framework for classifying metric-based software quality prediction models, especially case of software criticality, into four types. Models are classified along two vectors: input metric forms and the necessity of past project data. Each type has its own characteristics and its strength and weakness are compared with those of other types using newly defined criteria. Through this qualitative evaluation each organization can choose a proper model to suit its environment. My earlier studies of criticality prediction model implemented specific models in each type and evaluated their prediction performances. In this paper I analyze the experimental results and show that the characteristics of a model type is the another key of successful model selection.

A Proposal of Evaluation of Large Language Models Built Based on Research Data (연구데이터 관점에서 본 거대언어모델 품질 평가 기준 제언)

  • Na-eun Han;Sujeong Seo;Jung-ho Um
    • Journal of the Korean Society for information Management
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    • v.40 no.3
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    • pp.77-98
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    • 2023
  • Large Language Models (LLMs) are becoming the major trend in the natural language processing field. These models were built based on research data, but information such as types, limitations, and risks of using research data are unknown. This research would present how to analyze and evaluate the LLMs that were built with research data: LLaMA or LLaMA base models such as Alpaca of Stanford, Vicuna of the large model systems organization, and ChatGPT from OpenAI from the perspective of research data. This quality evaluation focuses on the validity, functionality, and reliability of Data Quality Management (DQM). Furthermore, we adopted the Holistic Evaluation of Language Models (HELM) to understand its evaluation criteria and then discussed its limitations. This study presents quality evaluation criteria for LLMs using research data and future development directions.

An Empirical Study on Quality Evaluation & Improvement of Component Development Documents (컴포넌트 개발 문서의 품질 평가 및 개선에 관한 경험적 연구)

  • Jang, Yun-Jeong;Lee, Gyeong-Hwan
    • The KIPS Transactions:PartD
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    • v.9D no.3
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    • pp.435-446
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    • 2002
  • Recently, many IT organizations develop software system with reusable component. Effective reusing of components increases software development productivity and quality. And, development of high quality component documents decrease maintenance problems, which are issues in component-based software development. In this paper, we propose a quality evaluation model of component development documents by empirical research. It consists of component quality reference model (CQRM) and quality evaluation model (CQEM). CQRM contains quality guidelines for component developers. CQEM contains evaluation guidelines for component consumers and distributors. We performed case study to verify this paper. Also, we presented quality improvement methods and improvement effects of component development documents. The quality evaluation model of component development documents proposed in this paper leads component development documents with high quality, and provides a rational quality evaluation model.

A Study of Data Quality Management Maturity Model (데이터품질관리 성숙도모델에 대한 연구)

  • Kim, Chan-Soo;Park, Joo-Seok
    • Journal of the Korean Society for information Management
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    • v.20 no.4 s.50
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    • pp.249-275
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    • 2003
  • In companies competing for today's information society, Data quality deterioration is causing a negative influence to generate company competitiveness fall and new cost. A lot of Preceding study about data qualify have been proceeded in order to solve a problem of these data qualify deterioration. Among the sides of data qualify, it has been studied mainly on qualify of the data valve and quality of data service that are the results quality concept. However. this study studied structural qualify of the data which were cause quality concept in a viewpoint of meta data management and presented data quality management maturity model through this. Also empirically this study verified that data quality improved if the management level matured.

The Process Reference Model for the Data Quality Management Process Assessment (데이터 품질관리 프로세스 평가를 위한 프로세스 참조모델)

  • Kim, Sunho;Lee, Changsoo
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.83-105
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    • 2013
  • There are two ways to assess data quality : measurement of data itself and assessment of data quality management process. Recently maturity assessment of data quality management process is used to ensure and certify the data quality level of an organization. Following this trend, the paper presents the process reference model which is needed to assess data quality management process maturity. First, the overview of assessment model for data quality management process maturity is presented. Second, the process reference model that can be used to assess process maturity is proposed. The structure of process reference model and its detail processes are developed based on the process derivation approach, basic principles of data quality management and the basic concept of process reference model in SPICE. Furthermore, characteristics of the proposed model are described compared with ISO 8000-150 processes.