• Title/Summary/Keyword: software quality

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Model for Quality Assessment of Data Analytics Software in Manufacturing-Based IIoT Environments (제조 기반 IIoT 환경에서 데이터 분석 소프트웨어의 품질 평가를 위한 모델)

  • Choi, Jongseok;Shin, Yongtae
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.4
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    • pp.292-299
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    • 2021
  • A form of data mining software, based on manufacturing-based IIoT environment with the development of IT technologies are increasingly growing. However, it is difficult to evaluate the software quality in the same form as general software due to the characteristics of the software of a manufacturing company that has a large amount of data that needs to be carried out with big data and data mining. In addition, in a manufacturing-based environment where heterogeneous equipment and software are mixed, it is difficult to perform quality judgment on software used by applying existing quality characteristics. Therefore, in this paper, the characteristics of the manufacturing base are investigated, and a software quality evaluation model suitable for it is developed and evaluated.

A Method for Tool-Chain-driven Quality Control based on Visualization for Small and Medium Scale Software Development Projects (중소규모 SW개발 프로젝트를 위한 시각화 기반의 Tool-Chain 품질관리 방법 제안)

  • Kim, Jung-Bo;Jung, Jin-Young;Kim, Jung-In
    • Journal of Korea Multimedia Society
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    • v.18 no.4
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    • pp.546-556
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    • 2015
  • Since the concept of software engineering was first used in 1968 by NATO Science Committee, a lot of research work and improvements have been made on software development methodology and software quality control, but they still fall short of ensuring successful development of small and medium scale software systems. Under these circumstances, Center for Software Engineering (CSE) at National IT Industry Promotion Agency(NIPA) has been conducting studies on quality control methodologies of software visualization well-suited for small and medium scale software systems, and also working on the systemization and quantification of software quality control. In this paper, we attempt to scope on the software development management of domestic and foreign small and medium-sized enterprises that are lying in the blind spot, compared to large enterprises with well-organized software development systems. In particular, based on software visualization that CSE is pursuing for small and medium-sized developers, we propose a practical quality control methodology well-suited for small and medium scale projects, and a low-cost quality control management tool by combining open-source quality control tools. Our proposal is expected to induce developers' mind change in SI-specialized small and medium-sized software enterprises, increase their profits and improve customer satisfaction through project quality control.

Establishment of the Software Quality Metrics for a Software Development Process (소프트웨어 개발 과정에서 제품의 품질 척도를 적용하는 방법)

  • Lee, Seon-ah;Choi, Byoung-Ju
    • Journal of KIISE:Software and Applications
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    • v.27 no.3
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    • pp.217-226
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    • 2000
  • In order to develop high quality software, software metrics have been made to assess the quality of software, and recently, many object-oriented metrics have been suggested for this purpose as well. However, research on the utilization of metrics to control software quality in a development process has been inadequate. This is due to the difficulty in assessing the significance of metrics in a software development process from the perspective of overall software quality. In this paper, we propose a method of applying metrics to a development process using the Hierarchical Software Quality Model(H-SQM) which is defined in terms of the products' special features. The method represents the H-SQM as the cause-and-effect diagram and changes the diagram to the process-analysis diagram. And it applies software quality metrics to each development stage by the process-analysis diagram. In this way, we could utilize the software quality metrics efficiently in order to improve the quality of software in the software development process.

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A study on the relationship of software quality and project performance (소프트웨어 품질과 프로젝트 성과와의 관계에 관한 탐색 연구*)

  • Kim, Kwang-Hyun
    • Management & Information Systems Review
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    • v.25
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    • pp.275-296
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    • 2008
  • We tested the relationship of elements in influence about software performance. our research is detect the significant element in the software system. we affronted to find relation elements with software quality and seek what relationship is the most important in performance activity. this study's result will be useful for them ; first, give to product a high quality guide line to software developer. second, it will be use for basic information about in software examine research.

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Quality Evaluation of Engineering Computer Programs Using Software Quality Metrics (Software Quality Metrics를 이용한 공학용 전산 프로그램의 품질특성 측정)

  • 조문성;남지희
    • Journal of Korean Society for Quality Management
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    • v.25 no.4
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    • pp.115-130
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    • 1997
  • SQM (Software Quality Metrics) is a methodology whose primary objective is the measurement of compliances to requirements using a set of software life cycle properties called quality factors, which is based on the hierachical relationshiips between factors, criteria and elements. For this study, two factors (Correctness, Maintainability) and five criteria were selected. In addition, several tens of quality elements were developed to su, pp.rt them. Qualities of three computer programs which are being used for engineering purpose were measured. As a result, it is concluded that SQM is a valuable method for continuously monitoring the pulse of software quality development and that it can be used as a tool for software quality assurance.

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Experiment design and human reliability in software quality control system

  • Park, Peom
    • Journal of Korean Society for Quality Management
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    • v.20 no.2
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    • pp.94-108
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    • 1992
  • This study involves an experiment for the cognitive experiment design and the human reliability in software engineering. Its overall objectives are to analyze common-cause human domain error and reliability in human-software interaction. A laboratory study was performed to analyze software engineers' task behavior in software production and to identify software design factors contributing to the effects in common cause failure redundancy. Common-cause model and its function were developed, then the main experiment using programming experts was conducted in order to define a new cognitive paradigm, in the aspects of identification, pattern recognition, and behavior domain for human reliability and quality control in software development. The results and analytical procedures developed in this research can be applied to reliability improvement and cost reduction in software development for many applications. Results are also expected to provide guidelines for software engineering quality control and for more effective design of human-software interface system.

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On the Study of Software Reliability in Quality Testing Metrics (소프트웨어 신뢰도 품질 평가 메트릭에 대한 연구)

  • Jung Hye-Jung
    • Journal of Internet Computing and Services
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    • v.7 no.2
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    • pp.151-160
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    • 2006
  • Software quality evaluation system and software evaluation criterion have to be defined to evaluate software reliability. In this study, we develop software reliability quality metrics for evaluating of software reliability and research for testing of suitable criteria of software reliability. To accomplish a study successfully, we have to estimate the failure time of software using the number of software bugs. Software reliability is very important in software quality. We propose the estimation of software reliability. We propose the software reliability metrics and the software testing method that the basis of international standard ISO/IEC 9126 in software testing metrics.

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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.

The Process of Software Quality Assurance About Initial Product in Weapon System (무기체계 최초양산품 소프트웨어 품질보증 프로세스 연구)

  • Yu, Jiseon;Song, Chi-Hoon;Kwon, Soonmo;Park, Byeonghun;Oh, Jinwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.285-293
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    • 2021
  • This study evaluated the process of software quality assurance about the initial product in a weapon system. The software quality assurance of the initial product was insufficient before this study. Therefore, the process of the software quality assurance about the initial product in a weapon system is suggested. The process has three parts. First, the completeness of computer files, such as source code and execute files, were checked. Second, the suitability of the software technical data was checked. Finally, the connectivity of software technical data and the Korean defense specification were assessed. Overall, there is a need to toughen the software quality assurance in the research and development step and achieve early stabilization of mass production by preventing the problems that prevent the production of a product due to the insufficient software technical data.

Software Metric for CBSE Model

  • Iyyappan. M;Sultan Ahmad;Shoney Sebastian;Jabeen Nazeer;A.E.M. Eljialy
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.187-193
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    • 2023
  • Large software systems are being produced with a noticeably higher level of quality with component-based software engineering (CBSE), which places a strong emphasis on breaking down engineered systems into logical or functional components with clearly defined interfaces for inter-component communication. The component-based software engineering is applicable for the commercial products of open-source software. Software metrics play a major role in application development which improves the quantitative measurement of analyzing, scheduling, and reiterating the software module. This methodology will provide an improved result in the process, of better quality and higher usage of software development. The major concern is about the software complexity which is focused on the development and deployment of software. Software metrics will provide an accurate result of software quality, risk, reliability, functionality, and reusability of the component. The proposed metrics are used to assess many aspects of the process, including efficiency, reusability, product interaction, and process complexity. The details description of the various software quality metrics that may be found in the literature on software engineering. In this study, it is explored the advantages and disadvantages of the various software metrics. The topic of component-based software engineering is discussed in this paper along with metrics for software quality, object-oriented metrics, and improved performance.