1997
Random testing is one of the more common test strategies. It does not assume any knowledge of the system under test, its specifications, or its internal design. This technique is insufficient for validating complex, safety-critical or mission-critical software. The structural testing approach systematically derives the test procedures from the external and internal specifications. Therefore, the term test design best describes the mental activity behind this method. The structural testing approach divides the input data space into subdomains. The criteria for this partitioning are given by the external specification of the system. Each subdomain is an equivalence class which is tested by choosing some representatives. But what if the subdomain is heterogeneous, has unknown side effects, or includes errors if executed in a particular order? (A heterogeneous subdomain includes both good and bad data points. Good means that the system works as specified, whereas bad data leads to system failure. For example, in the heart rate alarm test described in the accompanying article, the high alarm limit domain may contain data points that, when applied to the patient monitor, produce no high limit alarm. Other data points may behave as expected). Unfortunately, the subdomains are seldom homogenous or disjoint. Waeselynck & Thévenot-Fosse1 showed that a statistical component has to be included to provide a sufficient test data set for a subdomain. This approach is known as statistical structural testing. Our experience has shown that this strategy leads to the best
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National Renewable Energy Lab., Golden, CO (United States) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1996
Structural testing at the National Wind Technology Center (NWTC) offers many benefits to wind turbine companies. NWTC includes a new high bay large enough to test any blade expected during the next 5 years. (There are four test bays.) In 1995, NWTC developed a saphisticated data acquisition system, known as the Blade Structural Testing Real-time Acquisition Interface Network (BSTRAIN), to monitor structural testing through 24-hour continuous video surveillance. NWTC recommends ultimate static-strength and fatigue testing, with nondestructive testing in some cases (vibrational testing is covered in a separate information sheet).
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National Institute of Standards and Technology and Technology · National Institute of Standards and Technology (NIST) · 1967
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J.E. McDermid · Frontiers in electronic testing · 1999
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Cambridge University Press eBooks · 2011
Structural testing is considered more technical than functional testing. It attempts to design test cases from the source code and not from the specifications. The source code becomes the base document which is examined thoroughly in order to understand the internal structure and other implementation details. It also gives insight in to the source code which may be used as an essential knowledge for the design of test cases. Structural testing techniques are also known as white box testing techniques due to consideration of internal structure and other implementation details of the program. Many structural testing techniques are available and some of them are given in this chapter like control flow testing, data flow testing, slice based testing and mutation testing.
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Dodot Adikoeswanto (18576041), Siti Nurjanah (8421636), Saparuddin Mukhtar (18576044) et al. · Figshare · 2024
<div><p>This research delves into the intricate interplay between perceived organizational support, proactive personality, and voice behavior. Furthermore, it establishes the pivotal role of work engagement as a mediating factor within the articulated research model. The study engaged 287 healthcare professionals within correctional institutions and detention centers in Indonesia, employing a dual-phase questionnaire distribution to capture the dynamic aspects of the participants’ experiences. Utilizing the statistical technique of Partial Least Square—Structural Equation Modeling with the SmartPLS 4 program as an analysis tool, the collected data underwent comprehensive analysis. The outcomes reveal that proactive personality significantly influences voice behavior both directly and indirectly through its impact on work engagement. Conversely, perceived organizational support directly influences work engagement but does not exhibit a direct impact on voice behavior. These findings underscore the significance of proactive personality in fostering a conducive environment for constructive organizational change from a grassroots perspective. The study suggests that organizations prioritize the cultivation of proactive personality traits to stimulate voice behavior, thereby facilitating ongoing improvements and sustainable organizational progress.</p></div>
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National Institute of Standards and Technology and Technology · National Institute of Standards and Technology (NIST) · 1956
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Jean‐Claude Geffroy, Gilles Motet · 2002
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Rubén Boroschek, João Santos · 2022
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National Institute of Standards and Technology and Technology · National Institute of Standards and Technology (NIST)
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Burdell L. Springer · SAE technical papers on CD-ROM/SAE technical paper series · 1943
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Zipeng Li, Krishnendu Chakrabarty, Tsung-Yi Ho et al. · 2018
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H. Sahami, Courtois, B. · SPIRE - Sciences Po Institutional REpository · 1984
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Alexander Arnfinn Olsen, Fidaa Karkori · Springer series on naval architecture, marine engineering, shipbuilding and shipping/Springer series on naval architecture, marine engineering, shipbuildung and shipping · 2024
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De Rivera, J. · Clark Digital Commons (Clark University) · 1977
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Bin Chen, Yongmiao Hong · 2012
Modelling and detecting structural changes in GARCH processes have attracted a great amount of attention in econometrics over the past few years. We generalize Dahlhaus and Rao (2006)’s time varying ARCH processes to time varying GARCH processes and show the consistency of the weighted quasi maximum likelihood estimator. A class of generalized likelihood ratio tests are proposed to check smooth structural changes as well as abrupt structural breaks with known or unknown change points in GARCH models. The idea is to compare the log likelihood of the unrestricted nonparametric time-varying GARCH model and the restricted constant parameter GARCH model, which can be viewed as a generalization of likelihood ratio tests from the parametric framework to the nonparametric framework. The tests have a convenient asymptotic N(0,1) distribution and do not require any prior information about the alternatives. A simulation study highlights the merits of the proposed tests.
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Zachariah John A. Belmonte (20685323), Yogi Tri Prasetyo (14636921), Pamela Eyre R. Victoria (20685326) et al. · Figshare · 2025
<div> Electronic cigarettes or e-cigarettes have gained significant popularity as an alternative to traditional cigarettes, yet limited research has examined the factors influencing their adoption, particularly in developing nations like the Philippines, where usage is rising. This study investigates the behavioral drivers of e-cigarette use, with a particular focus on the role of knowledge, alongside social influence, perceived price impact, perceived health impact, and perceived usefulness. Using purposive sampling, 310 valid responses were collected from current e-cigarette users, traditional cigarette users, or individuals with prior experience with these products. A structured questionnaire with 21 indicators was administered, and data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). The findings reveal that knowledge is the strongest predictor of behavioral intention, highlighting the critical role of informed awareness about the risks and impacts of e-cigarettes in shaping user decisions. Social influence, perceived price impact, and perceived health impact also significantly influence behavioral intention, demonstrating the interconnectedness of cognitive, social, and economic factors. Interestingly, perceived usefulness did not have a significant effect, challenging assumptions about the importance of functional benefits in driving e-cigarette adoption. These results underscore the importance of education and awareness campaigns in addressing misconceptions about e-cigarettes. Policymakers, regulators, and health professionals should prioritize knowledge-driven interventions to empower individuals to make informed decisions and mitigate e-cigarette use, particularly among younger and economically vulnerable populations. </div>
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Gerald D. Everett, Raymond McLeod · 2006
This chapter contains sections titled: Introduction Interface Testing Security Testing Installation Testing The Smoke Test Administration Testing Backup and Recovery Testing Putting Structural Testing in Perspective Summary
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H. C. Schjelderup · Aircraft Engineering and Aerospace Technology · 1959
WITH the introduction of high‐powered propulsion systems, and paralleling their continued development, an accompanying increase in acoustical problems has arisen.
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Allan W. Gregory, James M. Nason, Gregory, Allan W. et al. · AgEcon Search (University of Minnesota, USA) · 1991
The purpose of this paper is to investigate the tests of Hansen (1991) to detect structural breaks in cointegrated relations using Monte Carlo methods. The evaluation takes place within the linear quadratic model. The evidence for a single regressor suggests that the test have proper size and that the power is good provided the cost of adjustment is low. In addition to the tests of Hansen, we consider the sensitivity of the augmented Dicky-Fuller (ADF) teest for cointegration in the presence of a structural break. Our Monte Carlo experiments show that the ADF test suffers a substantial loss of power (a failure to reject the null of no cointegration). As a practical example we consider the stability of the long-run coefficients in annual U.S. money demand.
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