• Title/Summary/Keyword: software metric

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Techniques to Predict External Quality from Internal Quality Metrics for Object Oriented Software Components (객체지향 기반 소프트웨어 컴포넌트의 내부 품질 메트릭을 이용한 외부 품질 추정 기법)

  • 박지환;신석규;김수동
    • Journal of KIISE:Software and Applications
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    • v.30 no.7_8
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    • pp.618-641
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    • 2003
  • Various quality models using quality factor, quality criteria and metrics have been proposed in order to evaluate quality of software products. However, a customized quality model which is specific to the characteristics of software component is required. In this paper, we propose external quality prediction techniques enable us to predict what external quality the final software product will have by using metrics as with internal attributes of software in development. We also propose a model not only for measuring quality by using metrics but also for applying internal attributes of ISO 9126 into artifacts of software component development.

Development of Test Module for Medical Embedded Software Quality Evaluation (의료기기 내장형 소프트웨어 품질평가 시험모듈 개발)

  • Yang Hae-Sool;Lee Ha-Yong;Lee Jung-Lim;Kim Hyuk-Ju
    • The KIPS Transactions:PartD
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    • v.13D no.2 s.105
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    • pp.259-270
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    • 2006
  • Because a medical embedded software is the software that control the medical devices that are relevant to a human life, it requires high qualify level. It is requires to develop and apply the quality test module that suitable for the requirements to meet the high quality requirements of the medical embedded software. Also, it needs to develop the process that complement the quality defects of software by feedback of the test result. In this study, we developed test module and quality inspection table which can test medical embedded software and produce result based on ISO/IEC 12119.

An Objective No-Reference Perceptual Quality Assessment Metric based on Temporal Complexity and Disparity for Stereoscopic Video

  • Ha, Kwangsung;Bae, Sung-Ho;Kim, Munchurl
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.5
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    • pp.255-265
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    • 2013
  • 3DTV is expected to be a promising next-generation broadcasting service. On the other hand, the visual discomfort/fatigue problems caused by viewing 3D videos have become an important issue. This paper proposes a perceptual quality assessment metric for a stereoscopic video (SV-PQAM). To model the SV-PQAM, this paper presents the following features: temporal variance, disparity variation in intra-frames, disparity variation in inter-frames and disparity distribution of frame boundary areas, which affect the human perception of depth and visual discomfort for stereoscopic views. The four features were combined into the SV-PQAM, which then becomes a no-reference stereoscopic video quality perception model, as an objective quality assessment metric. The proposed SV-PQAM does not require a depth map but instead uses the disparity information by a simple estimation. The model parameters were estimated based on linear regression from the mean score opinion values obtained from the subjective perception quality assessments. The experimental results showed that the proposed SV-PQAM exhibits high consistency with subjective perception quality assessment results in terms of the Pearson correlation coefficient value of 0.808, and the prediction performance exhibited good consistency with a zero outlier ratio value.

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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.

An Application of Qualitative Preference to Software Quality Evaluation (소프트웨어 품질평가를 위한 정성적 선호이론의 적용)

  • 이종무;정호원
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.3
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    • pp.109-124
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    • 2000
  • For rational human value judgement and evaluation, provision of clear evaluation data, objective value judgement criteria, and properly generalized methods are required. For instance, this is true for software quality evaluation, and the measure of software quality and the weighting method of evaluation target directly affect final decisions. However it is not easy to find a generalized method for the software quality evaluation or product selection, because of its complex characteristics. In this paper, we apply the qualitative preference method based on quantitative belief functions to find a general weighing method for the software quality evaluation. In particular, the qualitative preference method, in which the differentiated preference expression is possible, is conceptually expanded for general applications in future. For this purpose, we hierarchically differentiate the strong preference relation from the weak preference relation, and show an example of quantification of software quality evaluation on different applications, by comparing the qualitative preference method with AHP. We believe that the application domain of this method is not limited to the software quality evaluation and it is very useful to apply this results to other SE areas, e.g., metric selection with different views and riority determination of practices to be assessed in the SPICE.

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Development of e-Learning Software Quality Evaluation Model (e-Learning 소프트웨어의 품질평가 모델 개발)

  • Lee, Kyeong-Cheol;Lee, Ha-Yong;Yang, Hae-Sool
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.2
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    • pp.309-323
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    • 2007
  • Recently, E-Learning based on wide-area infrastructure is being spotlighted as the new means to innovate education at school and develop human resources at society and appeared as the main point of digital content industry. In this paper, we analyze the characteristics of base technology of E-Learning software and developed E-Learning software quality evaluation model by analyzing quality characteristics for quality test and evaluation of E-Learning software. To do so, we established the quality evaluation system and developed the evaluation model to evaluate the quality about E-Learning software by introducing related international standard. We think that this will promote development of competitive E-Learning software products.

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Metric based Performance Measurement of Software Development Methodologies from Traditional to DevOps Automation Culture

  • Poonam Narang;Pooja Mittal
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.107-114
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    • 2023
  • Successful implementations of DevOps practices significantly improvise software efficiency, collaboration and security. Most of the organizations are adopting DevOps for faster and quality software delivery. DevOps brings development and operation teams together to overcome all kind of communication gaps responsible for software failures. It relies on different sets of alternative tools to automate the tasks of continuous integration, testing, delivery, deployment and monitoring. Although DevOps is followed for being very reliable and responsible environment for quality software delivery yet it lacks many quantifiable aspects to prove it on the top of other traditional and agile development methods. This research evaluates quantitative performance of DevOps and traditional/ agile development methods based on software metrics. This research includes three sample projects or code repositories to quantify the results and for DevOps integrated selective tool chain; current research considers our earlier proposed and implemented DevOps hybrid model of integrated automation tools. For result discussion and validation, tabular and graphical comparisons have also been included to retrieve best performer model. This comparative and evaluative research will be of much advantage to our young researchers/ students to get well versed with automotive environment of DevOps, latest emerging buzzword of development industries.

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.

SEMI-INVARIANT SUBMANIFOLDS OF CODIMENSION 3 IN A COMPLEX HYPERBOLIC SPACE

  • KI, U-HANG;LEE, SEONG-BAEK;LEE, AN-AYE
    • Honam Mathematical Journal
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    • v.23 no.1
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    • pp.91-111
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    • 2001
  • In this paper we prove the following : Let M be a semi-invariant submanifold with almost contact metric structure (${\phi}$, ${\xi}$, g) of codimension 3 in a complex hyperbolic space $H_{n+1}{\mathbb{C}}$. Suppose that the third fundamental form n satisfies $dn=2{\theta}{\omega}$ for a certain scalar ${\theta}({\leq}{\frac{c}{2}})$, where ${\omega}(X,\;Y)=g(X,\;{\phi}Y)$ for any vectors X and Y on M. Then M has constant eigenvalues correponding the shape operator A in the direction of the distinguished normal and the structure vector ${\xi}$ is an eigenvector of A if and only if M is locally congruent to one of the type $A_0$, $A_1$, $A_2$ or B in $H_n{\mathbb{C}}$.

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Design of Software Process Metrics and Procedures for Software Process Measurement (소프트웨어 프로세스 측정절차와 메트릭스 설계)

  • Hwang, Sun-Myung
    • The KIPS Transactions:PartD
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    • v.10D no.4
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    • pp.719-726
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    • 2003
  • A SPICE (Software Process Improvement and Capability dEtermination) and CMM (Capability Maturity Model) assessment can be considered as representative software process assessment models since assessors assign ratings to indicators and metrics to measure the capability of software precesses. But ail of process assessment models don't provide a subjective measurement procedure and metrics. In this paper we define basic quality process metrics and propose standard metrics for each process based on SPICE and CMM. This study also proposed a guideline for a subjective measurement procedure and the metrics are effectively use to SPI.