• Title/Summary/Keyword: Testing Framework

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Development of a Comprehensive Usability Testing and Analysis Framework for the Physical Interface Between Product and User

  • Lee, Won-Sup;Jung, Ki-Hyo;Lee, Hyun-Ju;Song, Hwag-Yu;Oh, Jang-Keun;You, Hee-Cheon
    • Journal of the Ergonomics Society of Korea
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    • v.30 no.2
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    • pp.331-338
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    • 2011
  • Objective: The present study developed a comprehensive usability testing and analysis framework based on a physical interface model of product and user and applied the proposed framework to usability testing of canister-type vacuum cleaner. Background: The development of a user-centered product design is important to satisfy customers who want to use the product with ease of use and to keep the manufacturer competitive in the market. Method: The proposed testing and analysis framework consists of (1) characterization of physical product-user interface, (2) preparation and administration of usability testing questionnaire, and (3) analysis and interpretation of usability testing results. A usability evaluation of five vacuum cleaners was planned and administered based on the proposed framework and its analysis produced detailed and overall usability testing results for various aspects such as tasks, usability criteria, and design components. Results: The testing results were further utilized to identify usability problems and preferred design features of the vacuum cleaners. Conclusion: The proposed usability testing and analysis framework was found effective to identify preferred features and problems of a product design in a systematic, holistic manner. Application: The proposed framework can be of effective use for practitioners of product design and development to obtain comprehensive, quantitative usability testing information in a systematic manner.

Design of Software Testing Automation Framework sharing Test Information based on XML (XML기반 테스트 정보를 공유하는 소프트웨어 테스팅 자동화 프레임워크의 설계)

  • Chung Chang-Shin;Lee Kye-Im;Kim Jong-Hee;Jung Soon-Key
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.3 s.35
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    • pp.89-99
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    • 2005
  • The testing time and cost of developed software can be reduced by automation of the whole or part of testing process. Since the testing automation tools to be used currently have been developed without their interoperability, test case information such as test procedures, test data, and expectation of test results generated at the stage of test execution cannot be shared and reused in other testing automation tools, In order to reduce testing time and cost, in this thesis, we have proposed a software testing automation framework which makes it possible to share and reuse the test case information generated in testing process. To prove the availability and effectiveness of proposed testing automation framework, three testing automation tools that are available in current market were experimented by the test scenario. As a result of experiment, the testing time and cost could be reduced by sharing and reusing the test case information in software testing automation framework.

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Scenario Framework for ERP Testing and Training: SF-ETT (ERP 테스팅 및 교육 시나리오 프레임웍)

  • Park, Kwang-Ho
    • Information Systems Review
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    • v.10 no.1
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    • pp.193-211
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    • 2008
  • Effective Training has been recognized as one of the most important success factors for enterprise resource planning (ERP) system operations. However, both ERP system vendors and user companies have failed to provide an effective training method for users because practical business process cases cannot be formalized. Also, incomplete testing by ERP system vendors results in insufficient and ineffective user training. This paper suggests a scenario framework for ERP testing and training (SF-ETT). SF-ETT is constructed by expanding the practice-based ERP testing scenario construction framework designed for unERPII. SF-ETT contains concrete business process entities that users understand actually and provides practice definition, notation, and architecture.

Scenario Framework for ERP Testing and Training;SF-ETT

  • Park, Gwang-Ho;Kim, Ho-Taek;An, Yun-Ji
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.316-321
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    • 2007
  • Effective Training has been recognized as one of the most important success factors for enterprise resource planning (ERP) system operations. However, both ERP system vendors and user companies have failed to provide an effective training method for users because practical business process cases cannot be formalized. Also, incomplete testing by ERP system vendors results in insufficient and ineffective user training. This paper suggests a scenario framework for ERP testing and training (SF-ETT). SF-ETT is constructed by expanding the practice-based ERP testing scenario construction framework designed for uniERPII. SF-ETT contains concrete business process entities that users understand actually and provides practice definition, notation, and architecture.

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Embedding Built-in Tests in Hot Spots of an Object-Oriented Framework (객체지향 프레임웍의 Hot Spot에 Built-in Tests를 내장하는 방법)

  • Shin, Dong-Ik;Jeon, Tae-Woong;Lee, Syung-Young
    • Journal of KIISE:Software and Applications
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    • v.29 no.1_2
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    • pp.65-79
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    • 2002
  • Object-oriented frameworks need to be systematically tested because they are reused in developing many applications software. They also need additional testing whenever they are extended for reuse. Frameworks, however, have properties that make it difficult to control and observe the testing of the parts that were modified and extended. In this paper, we describe the method of embedding test components as BIT(Built-In Test) into the framework's hot spots in order to efficiently detect the faults through testing that occurred while implementing application programs by modifying and extending the framework. The test components embedded into a framework make it easy to control and observe testing the framework, and thereby improve the testability of frameworks. Test components designed by the method proposed in this paper can be dynamically attached and detached to/from hot spots of a framework without changes or intervention to the framework code.

Theoretically Informed Correlates of Hepatitis B Knowledge among Four Asian Groups: The Health Behavior Framework

  • Maxwell, Annette E.;Stewart, Susan L.;Glenn, Beth A.;Wong, Weng Kee;Yasui, Yutaka;Chang, L. Cindy;Taylor, Victoria M.;Nguyen, Tung T.;Chen, Moon S.;Bastani, Roshan
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.4
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    • pp.1687-1692
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    • 2012
  • Background: Few studies have examined theoretically informed constructs related to hepatitis B (HBV) testing, and comparisons across studies are challenging due to lack of uniformity in constructs assessed. The present analysis examined relationships among Health Behavior Framework factors across four Asian American groups to advance the development of theory-based interventions for HBV testing in at-risk populations. Methods: Data were collected from 2007-2010 as part of baseline surveys during four intervention trials promoting HBV testing among Vietnamese-, Hmong-, Korean- and Cambodian-Americans (n = 1,735). Health Behavior Framework constructs assessed included: awareness of HBV, knowledge of transmission routes, perceived susceptibility, perceived severity, doctor recommendation, stigma of HBV infection, and perceived efficacy of testing. Within each group we assessed associations between our intermediate outcome of knowledge of HBV transmission and other constructs, to assess the concurrent validity of our model and instruments. Results: While the absolute levels for Health Behavior Framework factors varied across groups, relationships between knowledge and other factors were generally consistent. This suggests similarities rather than differences with respect to posited drivers of HBV-related behavior. Discussion: Our findings indicate that Health Behavior Framework constructs are applicable to diverse ethnic groups and provide preliminary evidence for the construct validity of the Health Behavior Framework.

Implementation of Pattern-Driven Web Test Automation Framework (패턴 중심의 웹 테스트 자동화 프레임워크의 구현)

  • Na, Jong-Chae;Jeong, Hyie-Soo;Ryoo, Seok-Moon
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.12
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    • pp.1239-1243
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    • 2010
  • The web environment is evolving rapidly. Testing in the web based software is an essential process to improve stability and productivity. Testing of complex web contents and ill(user interface) is most important thing. Implemented test cases are efficient when they are automated and reusable. But, most of the testing automation tools are focused on technical accessibility and functions still. A collaboration of the persons concerned and reusability of implemented test case are ignored. In this paper we propose an efficient way to design automated test case in web environment, and to share and pattern automated test cases we introduce testing framework called NTAF(NHN Test Automation Framework.). The NTAF is based on open source framework. It provides integrated testing environment that web testing cane be automated and managed continuously.

Distributed Hybrid Simulation and Testing System using General-Purpose Finite Element Analysis Program (범용 유한요소해석 프로그램을 이용한 분산 공유 하이브리드 해석 및 실험 시스템)

  • Yun, Gun-Jin;Han, Bong-Koo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.21 no.1
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    • pp.59-71
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    • 2008
  • In this paper, a software framework that integrates computational and experimental simulation has been developed to simulate and test a large-scale structural system under earthquake loading. The proposed software framework does not need development of the computer codes for both dynamic and static simulations. Any general-purpose software can be utilized with a main control module and interface APIs. This opens up a new opportunity to facilitate use of sophisticated finite elements into hybrid simulation regime to enhance accuracy and efficiency of simulations. The software framework described in the paper is modular and uses object oriented programming concepts. A series of illustrative examples demonstrate that the system is fully-functional and is capable of running any number of experimental and/or analytical components.

A Classification and Extraction Method of Object Structure Patterns for Framework Hotspot Testing (프레임워크 가변부위 시험을 위한 객체 구조 패턴의 분류 및 추출 방법)

  • Kim, Jang-Rae;Jeon, Tae-Woong
    • Journal of KIISE:Software and Applications
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    • v.29 no.7
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    • pp.465-475
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    • 2002
  • An object-oriented framework supports efficient component-based software development by providing a flexible architecture that can be decomposed into easily modifiable and composable classes. Object-oriented frameworks require thorough testing as they are intended to be reused repeatedly In developing numerous applications. Furthermore, additional testing is needed each time the framework is modified and extended for reuse. To test a framework, it must be instantiated into a complete, executable system. It is, however, practically impossible to test a framework exhaustively against all kinds of framework instantiations, as possible systems into which a framework can be configured are infinitely diverse. If we can classify possible configurations of a framework into a finite number of groups so that all configurations of a group have the same structural or behavioral characteristics, we can effectively cover all significant test cases for the framework testing by choosing a representative configuration from each group. This paper proposes a systematic method of classifying object structures of a framework hotspot and extracting structural test patterns from them. This paper also presents how we can select an instance of object structure from each extracted test pattern for use in the frameworks hotspot testing. This method is useful for selection of optimal test cases and systematic construction of executable test target.

Machine Learning Frameworks for Automated Software Testing Tools : A Study

  • Kim, Jungho;Ryu, Joung Woo;Shin, Hyun-Jeong;Song, Jin-Hee
    • International Journal of Contents
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    • v.13 no.1
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    • pp.38-44
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    • 2017
  • Increased use of software and complexity of software functions, as well as shortened software quality evaluation periods, have increased the importance and necessity for automation of software testing. Automating software testing by using machine learning not only minimizes errors in manual testing, but also allows a speedier evaluation. Research on machine learning in automated software testing has so far focused on solving special problems with algorithms, leading to difficulties for the software developers and testers, in applying machine learning to software testing automation. This paper, proposes a new machine learning framework for software testing automation through related studies. To maximize the performance of software testing, we analyzed and categorized the machine learning algorithms applicable to each software test phase, including the diverse data that can be used in the algorithms. We believe that our framework allows software developers or testers to choose a machine learning algorithm suitable for their purpose.