• 제목/요약/키워드: Model-Based Testing

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A Novel Approach for Deriving Test Scenarios and Test Cases from Events

  • Singh, Sandeep K.;Sabharwal, Sangeeta;Gupta, J.P.
    • Journal of Information Processing Systems
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    • 제8권2호
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    • pp.213-240
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    • 2012
  • Safety critical systems, real time systems, and event-based systems have a complex set of events and their own interdependency, which makes them difficult to test ma Safety critic Safety critical systems, real time systems, and event-based systems have a complex set of events and their own interdependency, which makes them difficult to test manually. In order to cut down on costs, save time, and increase reliability, the model based testing approach is the best solution. Such an approach does not require applications or codes prior to generating test cases, so it leads to the early detection of faults, which helps in reducing the development time. Several model-based testing approaches have used different UML models but very few works have been reported to show the generation of test cases that use events. Test cases that use events are an apt choice for these types of systems. However, these works have considered events that happen at a user interface level in a system while other events that happen in a system are not considered. Such works have limited applications in testing the GUI of a system. In this paper, a novel model-based testing approach is presented using business events, state events, and control events that have been captured directly from requirement specifications. The proposed approach documents events in event templates and then builds an event-flow model and a fault model for a system. Test coverage criterion and an algorithm are designed using these models to generate event sequence based test scenarios and test cases. Unlike other event based approaches, our approach is able to detect the proposed faults in a system. A prototype tool is developed to automate and evaluate the applicability of the entire process. Results have shown that the proposed approach and supportive tool is able to successfully derive test scenarios and test cases from the requirement specifications of safety critical systems, real time systems, and event based systems.

A Dissimilarity with Dice-Jaro-Winkler Test Case Prioritization Approach for Model-Based Testing in Software Product Line

  • Sulaiman, R. Aduni;Jawawi, Dayang N.A.;Halim, Shahliza Abdul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권3호
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    • pp.932-951
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    • 2021
  • The effectiveness of testing in Model-based Testing (MBT) for Software Product Line (SPL) can be achieved by considering fault detection in test case. The lack of fault consideration caused test case in test suite to be listed randomly. Test Case Prioritization (TCP) is one of regression techniques that is adaptively capable to detect faults as early as possible by reordering test cases based on fault detection rate. However, there is a lack of studies that measured faults in MBT for SPL. This paper proposes a Test Case Prioritization (TCP) approach based on dissimilarity and string based distance called Last Minimal for Local Maximal Distance (LM-LMD) with Dice-Jaro-Winkler Dissimilarity. LM-LMD with Dice-Jaro-Winkler Dissimilarity adopts Local Maximum Distance as the prioritization algorithm and Dice-Jaro-Winkler similarity measure to evaluate distance among test cases. This work is based on the test case generated from statechart in Software Product Line (SPL) domain context. Our results are promising as LM-LMD with Dice-Jaro-Winkler Dissimilarity outperformed the original Local Maximum Distance, Global Maximum Distance and Enhanced All-yes Configuration algorithm in terms of Average Fault Detection Rate (APFD) and average prioritization time.

A practice on performance testing for web-based systems Hyperlink testing for web-based system

  • Chang, Wen-Kui;Ron, Shing-Kai
    • International Journal of Quality Innovation
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    • 제1권1호
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    • pp.64-74
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    • 2000
  • This paper investigates the issue of performance testing on web browsing environments. Among the typical non-functional characteristics, index of link validity will be deeply explored. A framework to certify link correctness in web site is proposed. All possible navigation paths are first formulated to represent a usage model with the Markov chain property, which is then used to generate test script file statistically. With collecting any existing failure information followed by tracing these testing browsed paths, certification analysis may be performed by applying Markov chain theory. The certification result will yield some significant information such as: test coverage, reliability measure, confidence interval, etc. The proposed mechanism may provide not only completed but also systemic methodologies to find any linking errors and other web technologies errors. Besides, an actual practice of the proposed approach to a web-based system will be demonstrated quantitatively through a certification tool.

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TTCN-3를 이용한 네트워크 기반 임베디드 소프트웨어 테스팅 환경 구축 (Testing Environment based on TTCN-3 for Network-based Embedded Software)

  • 채호창;김수림;조정훈;이성훈
    • 대한임베디드공학회논문지
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    • 제5권1호
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    • pp.29-38
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    • 2010
  • It is highly requested that the more complicated embedded software is used for high performance and multiple functions of the systems. This is inevitably increasing the errors. Therefore the embedded software testing is getting important recently. There are not general testing methods which are able to be applied for any embedded systems, but via this research, we introduce a testing method which is based on TTCN-3, a testing standard, for embedded systems. A testing environment for network-based embedded software is implemented with considering the features of TTCN-3 testing which is based on message exchange. The testing environment has two additional parts with TTCN-3 test system, the network analyzer to access the network-based systems and the communication interface which is suggested for embedded systems in previous work, and we have implemented the whole testing environment with interacting these two parts. In addition to the normal testing domain, called single node testing as a unit testing of V-model, we suggest another concept to test multiple nodes in network. It could be achieved by adding keywords such as supervisor and object which are describing the feature of TTCN-3 testing component and generating the TTCN-3 Executable code which contains new keywords. The testing has done for embedded software which is based on CAN network and the demonstration of the testing environment has been shown in this paper.

군집 적응형 시스템의 목표 기반 테스트를 위한 태스크 기반 테스트 모델 적용 타당성 연구 (A Feasibility Study of Goal-based Testing with a Task-based Test Model for Collective Adaptive Systems)

  • 이정현;지은경;임유진;배두환
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제22권8호
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    • pp.393-398
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    • 2016
  • 군집 적응형 시스템(Collective Adaptive System, CAS)은 다수의 에이전트를 포함하는 적응형 시스템으로, 에이전트들 간의 헙업을 통해 목표를 수행한다. 협업을 기반으로 시스템의 목표를 수행하는 CAS는 복수의 에이전트들 간의 상호작용에 대한 테스트가 필수적이다. 본 연구에서는 CAS를 테스트하기 위한 하나의 방법으로 태스크 기반의 테스트 모델을 적용하여 모델 기반 테스팅을 하는 것에 대한 타당성을 분석한다. 분석을 위해 CAS의 한 사례로 스마트 홈 시스템을 적용하였고, 그 결과 태스크 모델을 수정 및 확장하면 CAS의 목표 달성 여부를 판별할 수 있는 체계적인 테스트 케이스 생성이 가능한 것을 확인하였다.

Generalization of the Testing-Domain Dependent NHPP SRGM and Its Application

  • Park, J.Y.;Hwang, Y.S.;Fujiwara, T.
    • International Journal of Reliability and Applications
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    • 제8권1호
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    • pp.53-66
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    • 2007
  • This paper proposes a new non-homogeneous Poisson process software reliability growth model based on the coverage information. The new model incorporates the coverage information in the fault detection process by assuming that only the faults in the covered constructs are detectable. Since the coverage growth behavior depends on the testing strategy, the fault detection process is first modeled for the general testing strategy and then realized for the uniform testing. Finally the model for the uniform testing is empirically evaluated by applying it to real data sets.

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Testing the Goodness of Fit of a Parametric Model via Smoothing Parameter Estimate

  • Kim, Choongrak
    • Journal of the Korean Statistical Society
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    • 제30권4호
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    • pp.645-660
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    • 2001
  • In this paper we propose a goodness-of-fit test statistic for testing the (null) parametric model versus the (alternative) nonparametric model. Most of existing nonparametric test statistics are based on the residuals which are obtained by regressing the data to a parametric model. Our test is based on the bootstrap estimator of the probability that the smoothing parameter estimator is infinite when fitting residuals to cubic smoothing spline. Power performance of this test is investigated and is compared with many other tests. Illustrative examples based on real data sets are given.

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자체시험 (Self-Testing) 특성 비교기(Comparator)설계와 응용에 관한 연구 (A Study for Design and Application of Self-Testing Comparator)

  • 정용운;김현기;양성현;이기서
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 1998년도 창립기념 춘계학술대회 논문집
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    • pp.408-418
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    • 1998
  • This paper presents the implementation of comparator which is self-testing with respect to the faults caused by any single physical defect likely to occur in NMOS and CMOS integrated circuit. The goal is to use it for the fault-tolerant system. First, a new fault model for PLA(Programmable Logic Array) is presented. This model reflects several physical defects in VLSI circuits. It focuses on the designs based on PLA because VLSI chips are far too complex to allow detailed analysis of all the possible physical defects that can occur and of the effects on the operation of the circuit. Second, this paper shows that these design, which has been implemented with 2 level AND-ORor NOR-NOR circuit, are optimal in term of size. And it also presents a formal proof that a comparator implemented using NOR-NOR PLA, based on these design, is sol f-testing with respect to most single faults in the presented fault model. Finally, it discusses the application of the self-testing comparator as a building block for the implementation of the fault-tolerant system.

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Angle Beam Ultrasonic Testing Models and Their Application to Identification and Sizing of Surface Breaking Vertical Cracks

  • Song, Sung-Jin;Kim, Hak-Joon;Jung, Hee-Jun;Kim, Young-H.
    • 비파괴검사학회지
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    • 제22권6호
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    • pp.627-636
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    • 2002
  • Identification and sizing of surface breaking vertical cracks using angle beam ultrasonic testing in practical situation quite often become very difficult tasks due to the presence of non-relevant signals caused by geometric reflectors. The present work introduces effective and systematic approaches to take care of such a difficulty by use oi angle beam ultrasonic testing models that can predict the expected signals from various targets very accurately. Specifically, the model-based TIFD (Technique for Identification of Flaw signals using Deconvolution) is Proposed for the identification of the crack tip signals from the non-relevant geometric reflection signals. In addition, the model-based Size-Amplitude Curve is introduced for the reliable sizing of surface breaking vertical cracks.

Performance Comparison between Neural Network and Genetic Programming Using Gas Furnace Data

  • Bae, Hyeon;Jeon, Tae-Ryong;Kim, Sung-Shin
    • Journal of information and communication convergence engineering
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    • 제6권4호
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    • pp.448-453
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    • 2008
  • This study describes design and development techniques of estimation models for process modeling. One case study is undertaken to design a model using standard gas furnace data. Neural networks (NN) and genetic programming (GP) are each employed to model the crucial relationships between input factors and output responses. In the case study, two models were generated by using 70% training data and evaluated by using 30% testing data for genetic programming and neural network modeling. The model performance was compared by using RMSE values, which were calculated based on the model outputs. The average RMSE for training and testing were 0.8925 (training) and 0.9951 (testing) for the NN model, and 0.707227 (training) and 0.673150 (testing) for the GP model, respectively. As concern the results, the NN model has a strong advantage in model training (using the all data for training), and the GP model appears to have an advantage in model testing (using the separated data for training and testing). The performance reproducibility of the GP model is good, so this approach appears suitable for modeling physical fabrication processes.