• Communications for Statistical Applications and Methods
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• 제20권6호
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• pp.467-474
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• 2013

It is common to measure multiple coverage metrics during software testing. Software reliability growth models and coverage growth functions have been applied to each coverage metric to evaluate software reliability; however, analysis results for the individual coverage metrics may conflict with each other. This paper proposes the virtual coverage metric of a normalized first principal component in order to avoid conflicting cases. The use of the virtual coverage metric causes a negligible loss of information.

• 품질경영학회지
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• 제37권3호
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• pp.33-38
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• 2009

When we estimate the parameters of software reliability models, we usually use maximum liklihood estimator(MLE). But this method is required a large data set. In particular, when we want to estimate it with small observed data such as early stages of testing, we give rise to the non-existence of MLE. Therefore, it is interesting to look into the influence of parameter estimators obtained using MLE. In this paper, we use two non-homogenous poisson process software reliability growth model: delayed S-shaped model and log power model. In this paper, we calculate the sensitivity of estimators about failure intensity function for two SRGMs respectively.

• International Journal of Reliability and Applications
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• 제4권3호
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• pp.131-139
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• 2003

There is a new trend of incorporating software coverage metrics into software modelling. This paper proposes and empirically evaluates a software reliability growth model, which relates reliability to coverage. The proposed model is derived by modifying the assumptions on which Veevers and Marshall model is based.

• International Journal of Quality Innovation
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• 제5권1호
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• pp.110-121
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• 2004

There is a new trend of incorporating software coverage metrics into software reliability modelling. This paper proposes a coverage-based software reliability growth model. Firstly, the failure rate function in coverage is analytically derived. Then it is shown that the number of detected faults follows a Nonhomogeneous Poisson distribution of which intensity function is the failure rate function in coverage. Practical applicability of the proposed models is examined by illustrative numerical examples.

• 한국멀티미디어학회논문지
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• 제11권6호
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• pp.891-902
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• 2008

The software once developed enters in to the $2^{nd}$ phase of its useful operational life, where it performs its functions for which it has been developed. This is an important phase of software life, wherein the developers and users have to assess the performance of the software to prolong its operational life with efficiency, effectiveness and economy. Performance of the software is based on the measurement of the quality characteristics to ascertain that it is meeting or exceeding the needs of customers in terms of its functionality, usability, efficiency, reliability, availability, maintainability, portability etc. These software quality attributes defined under ISO 9126 provide an overall good framework for assessing the performance of the software. This paper describes a Software Performance Assessment (SPA) model using the Goal-Question-Metric (GQM) paradigm which has been applied to the operational software in real context with successful results.

• 한국신뢰성학회지:신뢰성응용연구
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• 제16권1호
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• pp.48-55
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• 2016

Purpose: The purpose of this study is to identify the object-oriented metrics which have strong impact on the reliability and fault-proneness of software products. The reliability and fault-proneness of software product is closely related to the design properties of class diagrams such as coupling between objects and depth of inheritance tree. Methods: This study has empirically validated the object-oriented metrics to determine which metrics are the best to predict fault-proneness. We have tested the metrics using logistic regressions and artificial neural networks. The results are then compared and validated by ROC curves. Results: The artificial neural network models show better results in sensitivity, specificity and correctness than logistic regression models. Among object-oriented metrics, several metrics can estimate the fault-proneness better. The metrics are CBO (coupling between objects), DIT (depth of inheritance), LCOM (lack of cohesive methods), RFC (response for class). In addition to the object-oriented metrics, LOC (lines of code) metric has also proven to be a good factor for determining fault-proneness of software products. Conclusion: In order to develop fault-free and reliable software products on time and within budget, assuring quality of initial phases of software development processes is crucial. Since object-oriented metrics can be measured in the early phases, it is important to make sure the key metrics of software design as good as possible.

• 한국철도학회논문집
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• 제12권4호
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• pp.450-456
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• 2009

최근의 컴퓨터 기술의 발달에 따라 열차제어시스템들이 컴퓨터 소프드웨어에 의존성이 더옥 증가되고 있으며, 이에 따라 이러한 열차제어시스템 소프트웨어의 안전성과 선뢰성에 대한 테스팅이 더욱 증요하게 되었다. 본 논문에서는 이러한 열차제어시스템 소프트웨어를 위한 Metrics 분석 자동화 도구를 제안하였으며, 또한 구현결과를 제시하였다. S/W Metrics는 철도시스템 소프트웨어관련 국제표준에서 언급되고 있는 Metrics를 대상으로 하였으며, 철도 소프트웨어 소스코드의 Metrics를 자동으로 분석하여 그 결과를 사용자에게 다양한 형태로 제시할 수 있도록 구현하였다. 자동화 도구는 열차제어시스템 소프트웨어 평가단계에서도 활용될 수 있고 또한 소프트웨어 개발단계에서도 유용하게 활용될 수 있을 것으로 예상된다.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.193-203
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• 2006

Software reliability prediction is a statistical method to put in place a timely software development practice useful for objective assessment of bidders. The current study suggests one research method that enables reliability assessment of such previous projects by studying user satisfaction and project management history. If incorporated into the existing acquisition process, the reliability assessment method will further enhance objectivity and accuracy in bidder selection process. The GQM(Goal Question Metric) paradigm was used to identify assessment metrics for bidder evaluation and questionnaires were collected from users to create user satisfaction indexes. In addition, 'weight of evidence', the most appropriate categorical method, was used to isolate attributes of each variable that may contribute to reliability assessment.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권7호
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• pp.265-274
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• 2019

무기체계 소프트웨어 개발 시 수행하는 신뢰성 시험은 크게 정적 검증과 동적 검증으로 구분된다. 정적 검증에서는 소프트웨어 코드를 수행시키지 않고 코딩 규칙 점검, 취약점 점검, 소스 코드 메트릭 점검을 수행하고, 동적 검증에서는 요구 사항을 기반으로 실제 소프트웨어를 실행시켜 기능을 검증하고 코드 실행률을 측정한다. 이러한 정적/동적 검증의 목적은 소프트웨어에 존재하는 결함을 발견하기 위한 것이다. 그러나 현재의 무기체계 소프트웨어 신뢰성 시험만으로는 여전히 탐지할 수 없는 결함들이 존재한다. 본 논문에서는 소프트웨어에서 발생할 수 있는 결함에 대해 무기체계 신뢰성 시험의 정적 검증과 동적 검증으로 탐지를 할 수 있는지를 사례실험을 통하여 분석 한다. 그 결과로 현재의 정적 검증과 동적 코드 커버리지 측정에서 더 나아가 무기체계 신뢰성 시험, 특히 동적 시험의 개선방안으로 연결하고자 한다.

• 한국산학기술학회논문지
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• 제10권8호
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• pp.1850-1859
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• 2009

디지털 저작권 관리 소프트웨어 신뢰성 품질 평가는 디지털 저작권 관리 소프트웨어의 품질 향상을 유도할 수 있는 기술로서 국제 표준을 수용하는 전략기술 개발을 통해 객관성과 활용도를 높일 수 있다. 본 연구에서는 디지털 저작권 관리 소프트웨어의 신뢰성 품질을 평가하기 위해 시험 메트릭을 제안하였으며, 품질을 측정하고 그 결과를 적절한 기준에 따라 판정하는 방법에 대해 연구를 수행하고 평가 사례를 제시하여 평가 방법을 명확히 제시하였다. 본 연구를 통해 디지털 저작권 관리 소프트웨어의 신뢰성 품질향상을 유도하고 디지털 저작권 관리 소프트웨어에 대한 양적/질적인 수요를 충족할 수 있다고 본다.