Bibliografías temáticas / Reliability

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Literatura académica sobre el tema "Reliability"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

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Artículos de revistas sobre el tema "Reliability"

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Frise, Matthew. "The reliability problem for reliabilism." Philosophical Studies 175, no. 4 (2017): 923–45. http://dx.doi.org/10.1007/s11098-017-0899-0.

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Abramov, G. S., and V. I. Plotnikov. "ANALYSIS OF THE RELIABILITYOF THE NAVIGATION COMPLEX AND RECOMMENDATIONS FOR INCREASE OF RELIABILITY." Scientific Bulletin Kherson State Maritime Academy 1, no. 28 (2024): 68–78. http://dx.doi.org/10.33815/2313-4763.2024.1.28.068-078.

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Hidayatullah, Efendi. "Efforts to Improve the English Test Reliability in SMP Negeri 1 Manisrenggo Klaten." Jurnal El-Hamra : Kependidikan dan Kemasyarakatan 9, no. 2 (2024): 8–12. http://dx.doi.org/10.62630/elhamra.v9i2.183.

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This study aims to attempt to improve the reliability of English language tests. The qualitative research focused on the results of the English reliability test in the ninth grade of SMP Negeri 1 Manisrenggo Klaten. The study's results were analyzed and discussed in depth to find implications and contributions to efforts to improve the reliability of English tests, especially in grade nine. This study found reliability issues such as Student-Related Reliability, Rater Reliability, Test Administration Reliability, and Test Reliability Efforts to improve English test reliability at SMP N 1 Manis
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Adams, Frederick, and David Kline. "NOMIC RELIABILISM: WEAK RELIABILITY IS NOT ENOUGH." Southern Journal of Philosophy 25, no. 4 (1987): 433–43. http://dx.doi.org/10.1111/j.2041-6962.1987.tb01634.x.

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SUZUKI, Kazuyuki. "Reliability and Reliability Management." Journal of The Surface Finishing Society of Japan 70, no. 6 (2019): 290–96. http://dx.doi.org/10.4139/sfj.70.290.

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Tantri, B. Roopashri, and N. N. Murulidhar. "An Efficient Estimator of Reliability for Exponential Class Software Reliability Models." Lecture Notes on Software Engineering 2, no. 3 (2014): 201–4. http://dx.doi.org/10.7763/lnse.2014.v2.123.

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Kazhakov, Stefan. "RELIABILITY TECHNIQUES FOR RFID." Journal Scientific and Applied Research 12, no. 1 (2017): 27–39. http://dx.doi.org/10.46687/jsar.v12i1.224.

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Radio Frequency Identification (RFID) technology has the potential to dramatically improve numerous industrial practices. However, it still faces many challenges, including security and reliability, which may limit its use in many application scenarios. While security has received considerable attention, reliability has escaped much of the research scrutiny. Radio Frequency Identification (RFID) technology is growing rapidly across many different industries. Developers apply the technology not only in traditional applications such as asset or inventory tracking, but also in security services s
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Sariyatno, Bintang, and Slamet Suyanto. "Instrumen lembar observasi pengukuran ketercapaian KKNI level 6 pada pengajaran mikro pendidikan biologi." Measurement In Educational Research (Meter) 1, no. 1 (2021): 12. http://dx.doi.org/10.33292/meter.v1i1.107.

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Penelitian pengembangan Instrumen lembar observasi ini bertujuan untuk mengembangkan instrumen lembar observasi pengukuran pengajaran mikro pada program studi pendidikan biologi yang valid dan reliabel, sehingga diperoleh gambaran ketercapaian KKNI level 6. Motode penelitian yang digunakan adalah metode penelitian dan pengembangan (research and development). Validitas isi pada penelitian ini telah memiliki kesesuaian konteks aitem dengan tujuan pengukuran dan aitem-aitem instrumen lembar observasi telah merepresentasikan ciri-ciri atribut yang diukur. Instrumen pengukuran pengajaran mikro ini
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Taylor, John M. "Reliability." Journal of Nursing Education 60, no. 2 (2021): 65–66. http://dx.doi.org/10.3928/01484834-20210120-02.

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Jackson, A. S., G. Atkinson, and W. G. Hopkins. "RELIABILITY." Medicine & Science in Sports & Exercise 33, no. 5 (2001): S173. http://dx.doi.org/10.1097/00005768-200105001-00983.

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Tesis sobre el tema "Reliability"

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Mafu, Masakheke. "Reliability analysis: assessment of hardware and human reliability." Thesis, Rhodes University, 2017. http://hdl.handle.net/10962/6280.

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Most reliability analyses involve the analysis of binary data. Practitioners in the field of reliability place great emphasis on analysing the time periods over which items or systems function (failure time analyses), which make use of different statistical models. This study intends to introduce, review and investigate four statistical models for modeling failure times of non-repairable items, and to utilise a Bayesian methodology to achieve this. The exponential, Rayleigh, gamma and Weibull distributions will be considered. The performance of the two non-informative priors will be investigat
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Chua, See Ju. "On the reliability of Type II censored reliability analyses." Thesis, Swansea University, 2009. https://cronfa.swan.ac.uk/Record/cronfa42621.

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This thesis considers the analysis of reliability data subject to censoring, and, in particular, the extent to which an interim analysis - here, using information based on Type II censoring - provides a guide to the final analysis. Under a Type II censored sampling, a random sample of n units is put on test simultaneously, and the test is terminated as soon as r (1 &le; r &le; n, although we are usually interested in r < n) failures are observed. In the case where all test units were observed to fail (r = n), the sample is complete. From a statistical perspective, the analysis of the complete
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Brunelle, Russell Dedric. "Customer-centered reliability measures for flexible multistate reliability models /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/10691.

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Saini, Gagandeep Singh. "Reliability-based design with system reliability and design improvement." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Saini_09007dcc8070d586.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed November 23, 2009) Includes bibliographical references (p. 66-68).
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Unlusoy, Ozlem. "Reliability Analysis Process And Reliabilty Improvement Of An Inertial Measurement Unit (imu)." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612387/index.pdf.

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Reliability is one of the most critical performance measures of guided missile systems. It is directly related to missile mission success. In order to have a high reliability value, reliability analysis should be carried out at all phases of the system design. Carrying out reliability analysis at all the phases of system design helps the designer to make reliability related design decisions in time and update the system design. In this study, reliability analysis process performed during the conceptual design phase of a Medium Range Anti-Tank Missile System Inertial Measurement Unit (IMU) was
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ROBINSON, DAVID GERALD. "MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183971.

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Past research into the phenomenon of reliability growth has emphasised modeling a major reliability characteristic in terms of a specific parametric function. In addition, the time-to-failure distribution of the system was generally assumed to be exponential. The result was that in most cases the improvement was modeled as a nonhomogeneous Poisson process with intensity λ(t). Major differences among models centered on the particular functional form of the intensity function. The popular Duane model, for example, assumes that λ(t) = β(1 – α)t ⁻ᵅ. The inability of any one family of distributions
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Kaya, Deniz. "Software Reliability Assessment." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606466/index.pdf.

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In spite of the fact that software reliability studies have attracted great deal of attention from different disciplines in 1970s, applications of the subject have rarely been involved in the software industry. With the rise of technological advances especially in the military electronics field, reliability of software systems gained importance. In this study, a company in the defense industries is inspected for their abilities and needs regarding software reliability, and an improvement proposal with metrics measurement system is formed. A computer tool is developed for the evaluation of the
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Chan, Pee Yuaw. "Software reliability prediction." Thesis, City, University of London, 1986. http://openaccess.city.ac.uk/18127/.

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Two methods are proposed to find the maximum likelihood parameter estimates of a number of software reliability models. On the basis of the results from analysing 7 sets of real data, these methods are found to be both efficient and reliable. The simple approach of adapting software reliability predictions by Keiller and Littlewood (1984) can produce improved predictions, but at the same time, introduces a lot of internal noise into the adapted predictions. This is due to the fact that the adaptor is a joined-up function. An alternative adaptive procedure, which involves the parametric spline
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Bhusal, Prabodh. "Distribution reliability analysis." Thesis, Wichita State University, 2007. http://hdl.handle.net/10057/1532.

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This thesis presents an example for optimization of distribution maintenance scheduling of a recloser. It applies a risk reduction technique associated with maintenance of the equipment. Furthermore, this thesis examines how various distribution system designs, including distributed energy resources (DER), affect distribution reliability indices, System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI).<br>Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering<br>"December 2007."
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Wright, David R. "Software reliability prediction." Thesis, City University London, 2001. http://openaccess.city.ac.uk/8387/.

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This thesis presents some extensions to existing methods of software reliability estimation and prediction. Firstly, we examine a technique called 'recalibration' by means of which many existing software reliability prediction algorithms assess past predictive performance in order to improve the accuracy of current reliability predictions. This existing technique for forecasting future failure times of software is already quite general. Indeed, whenever your predictions are produced in the form of time-to-failure distributions, successively as more actual failure times are observed, you can ap
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Libros sobre el tema "Reliability"

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Blischke, Wallace R., and D. N. Prabhakar Murthy. Reliability. John Wiley & Sons, Inc., 2000. http://dx.doi.org/10.1002/9781118150481.

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Petrucci, L. G. D. Reliability. L & A Press, 1985.

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Amar, A. D. Objective assessment of operational reliability: 1989 results of passenger car breakdown in N.Y.-N.J. area. W. Paul Stillman School of Business Administration, Seton Hall University, 1989.

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Wang, Cao. Structural Reliability and Time-Dependent Reliability. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62505-4.

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Nash, Franklin R. Reliability Assessments. CRC Press, 2017. http://dx.doi.org/10.1201/9781315371009.

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Bradley, Edgar. Reliability Engineering. CRC Press, 2016. http://dx.doi.org/10.1201/9781315367422.

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Thompson, Bruce. Score Reliability. SAGE Publications, Inc., 2003. http://dx.doi.org/10.4135/9781412985789.

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Grynchenko, Oleksandr, and Oleksiy Alfyorov. Mechanical Reliability. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41564-8.

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Chaturvedi, Sanjay K. Network Reliability. John Wiley &;#38; Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119224006.

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Pascoe, Norman. Reliability Technology. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470980101.

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Capítulos de libros sobre el tema "Reliability"

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Lutz, Josef, Heinrich Schlangenotto, Uwe Scheuermann, and Rik De Doncker. "Reliability and Reliability Testing." In Semiconductor Power Devices. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70917-8_12.

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Shrout, Patrick E. "Reliability." In Textbook of Psychiatric Epidemiology. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470976739.ch5.

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Kerre, Etienne, Takehisa Onisawa, Bart Cappelle, and Igor Gazdik. "Reliability." In The Handbooks of Fuzzy Sets Series. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5645-9_12.

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Lister, A. M., and R. D. Eager. "Reliability." In Fundamentals of Operating Systems. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4757-2252-9_10.

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Blischke, Wallace R., M. Rezaul Karim, and D. N. Prabhakar Murthy. "Reliability." In Springer Series in Reliability Engineering. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-647-4_3.

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Sijtsma, Klaas, and L. Andries van der Ark. "Reliability." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1348.

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Levesque, Roger J. R. "Reliability." In Encyclopedia of Adolescence. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_593.

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Bellamy, Nicholas. "Reliability." In Musculoskeletal Clinical Metrology. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2218-4_3.

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Kenny, Peter. "Reliability." In Better Business Decisions from Data. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0184-8_21.

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Nahler, Gerhard. "reliability." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1217.

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Actas de conferencias sobre el tema "Reliability"

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Baklanov, Aleksandr, Andreas Martin, Annalisa Cappellani, Sebastian Pregl, and Dirk Meinhold. "Optical Reliability and Reliability of Optical Devices." In 2025 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2025. https://doi.org/10.1109/irps48204.2025.10983183.

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"Reliability." In 2016 International Conference on Field-Programmable Technology (FPT). IEEE, 2016. http://dx.doi.org/10.1109/fpt.2016.7929432.

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Djambazova, Edita. "Achieving System Reliability Using Reliability Adjustment." In CompSysTech '22: International Conference on Computer Systems and Technologies 2022. ACM, 2022. http://dx.doi.org/10.1145/3546118.3546129.

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Cai, Jinchen, and Chunhong Chen. "Circuit Reliability Analysis Using Signal Reliability Correlations." In 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2017. http://dx.doi.org/10.1109/qrs-c.2017.34.

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Ai, Jun, Hanyu Pei, and Liang Yan. "Software Reliability Virtual Testing for Reliability Assessment." In 2014 IEEE 8th International Conference on Software Security and Reliability-Companion (SERE-C). IEEE, 2014. http://dx.doi.org/10.1109/sere-c.2014.24.

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O'HARA, K. "Liquid propulsion system reliability - 'Design for reliability'." In 25th Joint Propulsion Conference. American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-2628.

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Pey, Kin Leong, and Takeshi Furusawa. "CMOS & Interconnect Reliability - Advanced Dielectric Reliability." In 2007 IEEE International Electron Devices Meeting. IEEE, 2007. http://dx.doi.org/10.1109/iedm.2007.4418981.

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Eagan, Brendan, Jais Brohinsky, Jingyi Wang, and David Williamson Shaffer. "Testing the reliability of inter-rater reliability." In LAK '20: 10th International Conference on Learning Analytics and Knowledge. ACM, 2020. http://dx.doi.org/10.1145/3375462.3375508.

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Caers, J. F. J. M., X. J. Zhao, J. Mooren, L. Stulens, and E. Eggink. "Design for reliability - a Reliability Engineering Framework." In High Density Packaging (ICEPT-HDP). IEEE, 2010. http://dx.doi.org/10.1109/icept.2010.5582735.

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Linick, Bruce. "Peeling the Reliability Onion: Telecommunications Services Reliability." In 2008 Conference on Optical Fiber Communication - OFC 2008 Collocated National Fiber Optic Engineers. IEEE, 2008. http://dx.doi.org/10.1109/ofc.2008.4528315.

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Informes sobre el tema "Reliability"

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Mislevy, Robert J. Can There Be Reliability Without Reliability?".". Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada289480.

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Wayne, Martin. Reliability Growth Planning with Reliability Assurance Testing. DEVCOM Analysis Center, 2023. http://dx.doi.org/10.21236/ad1196219.

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Barlow, Richard E., William S. Jewell, and Sheldon M. Ross. Reliability Analysis. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada187220.

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Samaniego, Francisco J. Studies in Reliability Economics and Reliability Modeling and Inference. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada500005.

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Ashwill, Thomas D., Alistair B. Ogilvie, and Joshua A. Paquette. Blade reliability collaborative :. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1095939.

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Woloshun, Keith Albert. Target Window Reliability. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1238127.

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VARIAN ASSOCIATES INC SANTA CLARA CA. MODFET Reliability Study. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada204711.

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Ellison, Robert J. Assuring Software Reliability. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada609884.

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Hu, Chenming. VLSI Reliability Research. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada254883.

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Gates, R. K., G. J. Gibson, and K. K. McLain. Reliability Growth Prediction. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada176128.

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