Academic literature on the topic 'Testability'

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Journal articles on the topic "Testability"

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Wang, Yi Chen, and Feng Xie. "Research on Software Testability Requirement Analysis Method." Advanced Materials Research 760-762 (September 2013): 1084–88. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1084.

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Software testability parameter system was constructed by parameters that extracted from software testability influence factors. It established relationships between these parameters and software testability through a target layer which may reflect software inner attributes. In order to carry out the design of software testability in engineering ways, principles of software testability requirements and software testability requirement factor were presented in this article, as well as analysis method for software testability requirement. This method considered software characteristics and software test types as selection criteria to specify the target layer, and then tried to acquire software testability requirement factors with the help of software testability parameter architecture built before. Next, software testability requirement could be obtained by following the steps of software requirement engineering.
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Sober, Elliott. "Testability." Proceedings and Addresses of the American Philosophical Association 73, no. 2 (November 1999): 47. http://dx.doi.org/10.2307/3131087.

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Liu, Ye, and Yi Chen Wang. "The Study of the Requirement of Software Testability Based on Causal Analysis." Applied Mechanics and Materials 513-517 (February 2014): 1944–50. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1944.

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Requirements for software testability is an important basis of design for software design of testability. During the software-testability-design work, a series of software design for testability measures must be taken to make software testing stage less detours, and formulation and implementation of requirements for software testing is an important element. This paper introduces a kind of develop-method of requirements for software testability. According as causal analysis, basing on manifestations of software testability, the method develops appropriate requirements for software testability for software system. Preface The software testability is referred to as a kind of attribute that aims to facilitate the application test and improve the location and correction of software error [. To a certain extent, the software testability can solve some problems facing the software test, such as helping the designer to develop the software that is easier to test, so as to reduce the test difficulty, save more test time and optimize the resource allocation. Therefore, the software testability has stood out as quite an important factor that has a great effect on the cost, time and labor allocation of software test, which are also closely related to the quality of software engineering [. Since the 1990s, the software testability has been widely concerned by the scholars both at home and abroad. According to the relevant literatures collected, the general research direction has been toward the measurement and analysis of the software testability [. It should be noted that a well developed scheme of the requirement of software testability can not only enhance the testability of the target software, but also serve as the evaluation criterion of the testability, which means that it will have special reference to the improvement on the software test [. Based on the casual analysis, this paper has sought to provide a whole set of the requirement of software testability and come up with a real case so as to approach the design issues of the software testability [. 1 The requirement of software testability
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Ting-Hua Chen and M. A. Breuer. "Automatic Design for Testability Via Testability Measures." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 4, no. 1 (January 1985): 3–11. http://dx.doi.org/10.1109/tcad.1985.1270093.

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Lv, Jian Wei, Zong Ren Xie, and Yi Fan Xu. "A Weighted Optimization Allocation Based on Interval Distribution of Equipment Testability Indicators." Applied Mechanics and Materials 741 (March 2015): 795–800. http://dx.doi.org/10.4028/www.scientific.net/amm.741.795.

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On the basis of conception, the characteristics of current testability indicators allocation methods are analyzed. Due to their shortages, we establish a weighted allocation method based on upper and lower limitation to equipment testability indicators and present the initial value of unit’s testability indicators, upper and lower limitation, adjust means to initial value and whole calculation steps. The illustrated example shows that, by this allocation method, dependence to one’s experience can be decrease to the lowest limitation, control to unit testability indicators’ range is perfect, and we can assign the lowest unit testability indicators’ and their combination to realize system’s testability indicators.
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Khan, Mohammad, M. A. Khanam, and M. H. Khan. "Requirement Based Testability Estimation Model of Object Oriented Software." Oriental journal of computer science and technology 10, no. 04 (October 17, 2017): 793–801. http://dx.doi.org/10.13005/ojcst/10.04.14.

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To measure testability before the actual development starts will play a crucial role to the developer, designers and end users as well. Early measurement of testability, especially in early requirement stage to assist the developer for the further development process, and will also assures us to produce and deliver the high quality requirement that can surely reduce the overall cost and improves the quality of development process. Taking view of this fact, this paper identifies testability estimation factors namely understandability and modifiability and establishes the correlation among testability, understandability and modifiability. Further, a model is developed to quantify software testability in requirement phase and named as Requirement Testability Model of Object Oriented Software-RTMOOS. Furthermore, the correlation of Testability with these factors has been tested and justified with the help of statistical measures.
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Wang, Chao, Jing Qiu, Guan-jun Liu, and Yong Zhang. "Testability demonstration with component level data from virtual and physical tests." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 2 (May 8, 2014): 265–72. http://dx.doi.org/10.1177/0954406214532909.

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Testability demonstration plays an important role in assuring the testability capability, which can decrease the fault diagnosis time and accelerate the maintenance actions. However, testability demonstration test with classical planning method has the problems of large fault sample size, high test cost, and long test period. A new testability demonstration planning method is proposed, which takes the component level data from both virtual and physical demonstration tests as prior information. Owing to the limitations of the testability modeling technology and relevant programming tools, the virtual testability prototype of the system level cannot be established and the virtual testability test data is not totally credible. So a data conversion method based on the information entropy theory is proposed to convert the component level virtual and physical test data into equivalent system test data, in which the data credibility is taken into consideration. The equivalent system test data is then used to get the prior probability density function of the testability indexes with an empirical Bayesian method. Then, a testability demonstration planning method of Bayesian posterior risk criteria is presented. Finally, the fault detection rate demonstration tests of a flight control system and a heating controller are taken as examples to verify the proposed method. The results show that the introduction of prior test data can effectively decrease the sample size and the credibility of the virtual testability test data can affect the test plan.
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Di, Peng, Xuan Wang, Tong Chen, and Bin Hu. "Multisensor Data Fusion in Testability Evaluation of Equipment." Mathematical Problems in Engineering 2020 (November 30, 2020): 1–16. http://dx.doi.org/10.1155/2020/7821070.

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The multisensor data fusion method has been extensively utilized in many practical applications involving testability evaluation. Due to the flexibility and effectiveness of Dempster–Shafer evidence theory in modeling and processing uncertain information, this theory has been widely used in various fields of multisensor data fusion method. However, it may lead to wrong results when fusing conflicting multisensor data. In order to deal with this problem, a testability evaluation method of equipment based on multisensor data fusion method is proposed. First, a novel multisensor data fusion method, based on the improvement of Dempster–Shafer evidence theory via the Lance distance and the belief entropy, is proposed. Next, based on the analysis of testability multisensor data, such as testability virtual test data, testability test data of replaceable unit, and testability growth test data, the corresponding prior distribution conversion schemes of testability multisensor data are formulated according to their different characteristics. Finally, the testability evaluation method of equipment based on the multisensor data fusion method is proposed. The result of experiment illustrated that the proposed method is feasible and effective in handling the conflicting evidence; besides, the accuracy of fusion of the proposed method is higher and the result of evaluation is more reliable than other testability evaluation methods, which shows that the basic probability assignment of the true target is 94.71%.
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Harman, M., Lin Hu, R. Hierons, J. Wegener, H. Sthamer, A. Baresel, and M. Roper. "Testability transformation." IEEE Transactions on Software Engineering 30, no. 1 (January 2004): 3–16. http://dx.doi.org/10.1109/tse.2004.1265732.

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Nagle, H. T., R. R. Fritzemeier, J. E. Van Well, and M. G. McNamer. "Microprocessor testability." IEEE Transactions on Industrial Electronics 36, no. 2 (May 1989): 151–63. http://dx.doi.org/10.1109/41.19064.

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Dissertations / Theses on the topic "Testability"

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Zhou, Lixin. "Testability Design and Testability Analysis of a Cube Calculus Machine." PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/4911.

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Cube Calculus is an algebraic model popular used to process and minimize Boolean functions. Cube Calculus operations are widely used in logic optimization, logic synthesis, computer image processing and recognition, machine learning, and other newly developing applications which require massive logic operations. Cube calculus operations can be implemented on conventional general-purpose computers by using the appropriate "model" and software which manipulates this model. The price that we pay for this software based approach is severe speed degradation which has made the implementation of several high-level formal systems impractical. A cube calculus machine which has a special data path designed to execute multiplevalued input, and multiple-valued output cube calculus operations is presented in this thesis. This cube calculus machine can execute cube calculus operations 10-25 times faster than the software approach. For the purpose of ensuring the manufacturing testability of the cube calculus machine, emphasize has been put on the testability design of the cube calculus machine. Testability design and testability analysis of the iterative logic unit of the cube calculus machine was accomplished. Testability design and testability analysis methods of the cube calculus machine are weli discussed in this thesis. Full-scan testability design method was used in the testability design and analysis. Using the single stuck-at fault model, a 98.30% test coverage of the cube calculus machine was achieved. A Povel testability design and testability analysis approach is also presented in this thesis.
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Lindström, Birgitta. "Methods for Increasing Software Testability." Thesis, University of Skövde, Department of Computer Science, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-494.

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We present a survey over current methods for improving software testability. It is a well-known fact that the cost for testing of software takes 50\% or more of the development costs. Hence, methods to improve testability, i.e. reduce the effort required for testing, have a potential to decrease the development costs. The test effort needed to reach a level of sufficient confidence for the system is dependent on the number of possible test cases, i.e., the number of possible combinations of system state and event sequences. Each such combination results in an execution order. Properties of the execution environment that affect the number of possible execution orders can therefore also affect testability. Which execution orders that are possible and not are dependent of processor scheduling and concurrency control policies. Current methods for improving testability are investigated and their properties with respect to processor scheduling and concurrency control analyzed. Especially, their impact on the number of possible test cases is discussed. The survey revealed that (i) there are few methods which explicitly address testability, and (ii) methods that concern the execution environment suggest a time-triggered design. It is previously shown that the effort to test an event-triggered real-time system is inherently higher than testing a time-triggered real-time system. Due to the dynamic nature of the event-triggered system the number of possible execution orders is high. A time-triggered design is, however, not always suitable. The survey reveals an open research area for methods concerning improvement of testability in event-triggered systems. Moreover, a survey and analysis of processor scheduling and concurrency control properties and their effect on testability is presented. Methods are classified into different categories that are shown to separate software into different levels of testability. These categories can form a basis of taxonomy for testability. Such taxonomy has a potential to be used by system designers and enable them to perform informed trade-off decisions.

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Shi, Cheng. "High-level design for testability." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336135.

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Bhattacharyya, Arnab. "Testability of linear-invariant properties." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68435.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 75-80).
Property Testing is the study of super-efficient algorithms that solve "approximate decision problems" with high probability. More precisely, given a property P, a testing algorithm for P is a randomized algorithm that makes a small number of queries into its input and distinguishes between whether the input satisfies P or whether the input is "far" from satisfying P, where "farness" of an object from P is measured by the minimum fraction of places in its representation that needs to be modified in order for it to satisfy P. Property testing and ideas arising from it have had significant impact on complexity theory, pseudorandomness, coding theory, computational learning theory, and extremal combinatorics. In the history of the area, a particularly important role has been played by linearinvariant properties, i.e., properties of Boolean functions on the hypercube which are closed under linear transformations of the domain. Examples of such properties include linearity, homogeneousness, Reed-Muller codes, and Fourier sparsity. In this thesis, we describe a framework that can lead to a unified analysis of the testability of all linear-invariant properties, drawing on techniques from additive combinatorics and from graph theory. We also show the first nontrivial lowerbound for the query complexity of a natural testable linear-invariant property.
by Arnab Bhattacharyya.
Ph.D.
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Hock, Joel M. (Joel Michael) 1977. "Exposing testability in GUI objects." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86608.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (leaf 28).
by Joel M. Hock.
M.Eng.and S.B.
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Kito, Nobutaka, and Naofumi Takagi. "Level-Testability of Multi-operand Adders." IEEE, 2008. http://hdl.handle.net/2237/12025.

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Lindström, Birgitta. "Testability of Dynamic Real-Time Systems." Doctoral thesis, Linköpings universitet, ESLAB - Laboratoriet för inbyggda system, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16486.

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This dissertation concerns testability of event-triggered real-time systems. Real-time systems are known to be hard to test because they are required to function correct both with respect to what the system does and when it does it. An event-triggered real-time system is directly controlled by the events that occur in the environment, as opposed to a time-triggered system, which behavior with respect to when the system does something is constrained, and therefore more predictable. The focus in this dissertation is the behavior in the time domain and it is shown how testability is affected by some factors when the system is tested for timeliness. This dissertation presents a survey of research that focuses on software testability and testability of real-time systems. The survey motivates both the view of testability taken in this dissertation and the metric that is chosen to measure testability in an experiment. We define a method to generate sets of traces from a model by using a meta algorithm on top of a model checker. Defining such a method is a necessary step to perform the experiment. However, the trace sets generated by this method can also be used by test strategies that are based on orderings, for example execution orders. An experimental study is presented in detail. The experiment investigates how testability of an event-triggered real-time system is affected by some constraining properties of the execution environment. The experiment investigates the effect on testability from three different constraints regarding preemptions, observations and process instances. All of these constraints were claimed in previous work to be significant factors for the level of testability. Our results support the claim for the first two of the constraints while the third constraint shows no impact on the level of testability. Finally, this dissertation discusses the effect on the event-triggered semantics when the constraints are applied on the execution environment. The result from this discussion is that the first two constraints do not change the semantics while the third one does. This result indicates that a constraint on the number of process instances might be less useful for some event-triggered real-time systems.
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Yu, Hua-Long. "Testability-directed specification of communications software." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7560.

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In this thesis, we make a contribution to improving software testability by providing a useful model and guide-lines for constructing highly testable specifications of distributed real time (communications) systems. A global events model is developed based on relative clock for interpreting concurrent aspect of a communications system. Extended trace assertion language (ETAL) is presented for formally representing both the sequential and concurrent aspects of the system. A relative clock based specification in ETAL method also facilitates subsequent testing activity. Subsequently, based on the global events model, a new test result analysis approach including timing information is presented for communication service and protocol conformance testing. This approach is also ETAL specification-based. After the descriptions of the contributions mentioned above, the definition of a testability-directed specification and a study on the relations between the testability-directed specification and ETAL are then presented. Finally, the feasibility and usefulness of the relative clock based formal specification method is demonstrated by its application to OSI transport software (service and protocol). Also, the effectiveness of the relative clock based approach for test result analysis is illustrated in a set of realistic conformance testing examples. (Abstract shortened by UMI.)
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Kumar, Mahilchi Milir Vaseekar. "Testability considerations in delay fault testing /." Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1232421401&sid=5&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Al-Khanjari, Zuhoor Abdullah. "Investigations into testability and related concepts." Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366661.

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Books on the topic "Testability"

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Weyerer, Manfred. Testability of electronic circuits. Munich: Carl Hanser Verlag, 1992.

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United States. Environmental Protection Agency. Transportation and Climate Division. OBD readiness testability issues. 2nd ed. Washington, D.C.]: Transportation and Climate Division, Office of Transportation and Air Quality, U.S. Environmental Protection Agency, 2012.

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Weyerer, Manfred. Testability of electronic circuits. Munich: C. Hanser, 1991.

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Tsui, Frank F. LSI/VLSI testability design. New York: McGraw-Hill, 1987.

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M, Voas Jeffrey, ed. Software assessment: Reliability, safety, testability. New York: Wiley, 1995.

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Beenker, F. P. M., R. G. Bennetts, and A. P. Thijssen. Testability Concepts for Digital ICs. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2365-9.

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Digital circuit testing and testability. San Diego: Academic Press, 1997.

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Logic testing and design for testability. Cambridge, Mass: MIT Press, 1985.

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Huhn, Sebastian, and Rolf Drechsler. Design for Testability, Debug and Reliability. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69209-4.

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Engineering design: Reliability, maintainability, and testability. Blue Ridge Summit, PA: TAB Professional and Reference Books, 1988.

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Book chapters on the topic "Testability"

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Vennaro, Eric. "Testability." In iOS Development at Scale, 409–36. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9456-7_12.

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Chen, Tinghuai. "Testability Design via Testability Measures." In Fault Diagnosis and Fault Tolerance, 95–118. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77179-8_3.

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Sayil, Selahattin. "Testability Design." In Contactless VLSI Measurement and Testing Techniques, 9–15. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69673-7_2.

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Daggett, Mark E. "Improving Testability." In Expert JavaScript, 199–218. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6098-1_10.

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Turino, Jon L. "Testability Busses." In Design to Test, 225–49. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-6044-5_10.

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Turino, Jon L. "Testability Documentation." In Design to Test, 283–90. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-6044-5_14.

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Parsa, Saeed. "Software Testability." In Software Testing Automation, 3–43. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22057-9_1.

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Chakradhar, Srimat T., Vishwani D. Agrawal, and Michael L. Bushneil. "Polynomial-time Testability." In Neural Models and Algorithms for Digital Testing, 123–39. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3958-2_11.

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Kurup, Pran, and Taher Abbasi. "Design for Testability." In Logic Synthesis Using Synopsys®, 197–241. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2370-0_6.

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Shapere, Dudley. "Testability and Empiricism." In The Reality of the Unobservable, 153–64. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9391-5_11.

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Conference papers on the topic "Testability"

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Voas, J., J. Payne, R. Mills, and J. McManus. "Software testability." In the 1995 Symposium. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/211782.211854.

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Ghafari, Mohammad, Markus Eggiman, and Oscar Nierstrasz. "Testability First!" In 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). IEEE, 2019. http://dx.doi.org/10.1109/esem.2019.8870170.

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Hevery, Misko. "Testability explorer." In Companion to the 23rd ACM SIGPLAN conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1449814.1449842.

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Iwama, Kazuo, and Yuichi Yoshida. "Parameterized testability." In ITCS'14: Innovations in Theoretical Computer Science. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2554797.2554843.

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"Testability for PHM." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079171.

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DiCesare, James. "Testability Design and Testability Rating for Better Built In Test." In 2023 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2023. http://dx.doi.org/10.1109/rams51473.2023.10088236.

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Flynn, D. W. "Modular bus design supports on-chip testability." In IEE Colloquium on `Systems Design for Testability'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950548.

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FU, JIANPING, MINYAN LU, SHUNKUN YANG, and ZHEN LI. "METHOD TO ANALYZING SOFTWARE TESTABILITY AFFECTING FACTORS BASED ON TESTABILITY TREE." In Proceedings of the International Conference on ICSTE 2009. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814289986_0038.

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Wang, Weichao, Weiqiang Zhan, Sheng Xiong, and Hailang Xie. "Testability Study of Medium Voltage DC Switchboard Based on Testability Index." In 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2019. http://dx.doi.org/10.1109/icems.2019.8921561.

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Grist, D. A. "The cost of C-testability in terms of silicon area and design complexity." In IEE Colloquium on `Systems Design for Testability'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950549.

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Reports on the topic "Testability"

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Simpson, William R., John H. Bailey, Katherine B. Barto, and Eugene Esker. Prediction and Analysis of Testability Attributes: Organizational-Level Testability Prediction. Fort Belvoir, VA: Defense Technical Information Center, February 1986. http://dx.doi.org/10.21236/ada167957.

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Zhou, Lixin. Testability Design and Testability Analysis of a Cube Calculus Machine. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6787.

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McNamer, Michael G., and Walter W. Weber. Chip to System Testability. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada342380.

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Debany, Jr, and Warren H. Digital Logic Testing and Testability. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada234123.

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Flater, David, and KC Morris. Testability of product data management interfaces. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6429.

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Press, Ronald E., Michael E. Keller, and Gregory J. Maguire. Testability Design Rating System: Analytical Procedure. Volume 2. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada254334.

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Sarabi, Andisheh. Logic Synthesis with High Testability for Cellular Arrays. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6638.

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Santos, Andres, Ivan A. Canay, and Azeem M. Shaikh. On the testability of identification in some nonparametric models with endogeneity. Cemmap, July 2012. http://dx.doi.org/10.1920/wp.cem.2012.1812.

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Elks, Carl R., Ashraf Tantawy, Rick Hite, Smitha Gauthem, and Athira Jayakumar. Defining and Characterizing Methods, Tools, and Computing Resources to Support Pseudo Exhaustive Testability of Software Based I&C Devices. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1495188.

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