Relevant bibliographies by topics / Random testing

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Random testing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Random testing"

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CHAN, KWOK PING, TSONG YUEH CHEN, and DAVE TOWEY. "RESTRICTED RANDOM TESTING: ADAPTIVE RANDOM TESTING BY EXCLUSION." International Journal of Software Engineering and Knowledge Engineering 16, no. 04 (2006): 553–84. http://dx.doi.org/10.1142/s0218194006002926.

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Restricted Random Testing (RRT) is a new method of testing software that improves upon traditional Random Testing (RT) techniques. Research has indicated that failure patterns (portions of an input domain which, when executed, cause the program to fail or reveal an error) can influence the effectiveness of testing strategies. For certain types of failure patterns, it has been found that a widespread and even distribution of test cases in the input domain can be significantly more effective at detecting failure compared with ordinary RT. Testing methods based on RT, but which aim to achieve eve
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Wu, Huayao, Changhai Nie, Justyna Petke, Yue Jia, and Mark Harman. "An Empirical Comparison of Combinatorial Testing, Random Testing and Adaptive Random Testing." IEEE Transactions on Software Engineering 46, no. 3 (2020): 302–20. http://dx.doi.org/10.1109/tse.2018.2852744.

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Landauer, A. A., and J. R. Johnstone. "Random breath‐testing." Medical Journal of Australia 142, no. 4 (1985): 283. http://dx.doi.org/10.5694/j.1326-5377.1985.tb113352.x.

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Linklater, Dawn R. "Random breath‐testing." Medical Journal of Australia 142, no. 7 (1985): 427. http://dx.doi.org/10.5694/j.1326-5377.1985.tb133178.x.

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Chen, Tsong Yueh, and Robert Merkel. "Quasi-Random Testing." IEEE Transactions on Reliability 56, no. 3 (2007): 562–68. http://dx.doi.org/10.1109/tr.2007.903293.

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Loo, PS, and WK Tsai. "Random testing revisited." Information and Software Technology 30, no. 7 (1988): 402–17. http://dx.doi.org/10.1016/0950-5849(88)90037-7.

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Nie, Changhai, Huayao Wu, Xintao Niu, Fei-Ching Kuo, Hareton Leung, and Charles J. Colbourn. "Combinatorial testing, random testing, and adaptive random testing for detecting interaction triggered failures." Information and Software Technology 62 (June 2015): 198–213. http://dx.doi.org/10.1016/j.infsof.2015.02.008.

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Liu, Huai, Fei-Ching Kuo, and Tsong Yueh Chen. "Comparison of adaptive random testing and random testing under various testing and debugging scenarios." Software: Practice and Experience 42, no. 8 (2011): 1055–74. http://dx.doi.org/10.1002/spe.1113.

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Mrozek, Ireneusz, and Vyacheslav Yarmolik. "Multiple Controlled Random Testing*." Fundamenta Informaticae 144, no. 1 (2016): 23–43. http://dx.doi.org/10.3233/fi-2016-1322.

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Liu, Huai, and Tsong Yueh Chen. "Randomized Quasi-Random Testing." IEEE Transactions on Computers 65, no. 6 (2016): 1896–909. http://dx.doi.org/10.1109/tc.2015.2455981.

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Dissertations / Theses on the topic "Random testing"

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Oftedal, Kristian. "Random Testing versus Partition Testing." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13985.

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The difference between Partition Testing and Random Testing has been thoroughlyinvestigated theoretically. In this thesis we present a practical study ofthe differences between random testing and partition testing. Thestudy is performed on the open-source project Buddi with JUnit and Randoop as test tools. The comparisonis made with respect to coverage rate and fault rate. The resultsare discussed and analyzed. The observed differences are statisticallysignificant at the 10% level with respect to coverage rate, in favour ofpartition testing, and not statistically significant at the 10% level w
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Pacheco, Carlos Ph D. Massachusetts Institute of Technology. "Directed random testing." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53297.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 155-162).<br>Random testing can quickly generate many tests, is easy to implement, scales to large software applications, and reveals software errors. But it tends to generate many tests that are illegal or that exercise the same parts of the code as other tests, thus limiting its effectiveness. Directed random testing is a new approach to test generation that overcomes these limitations, by combi
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Kuo, Fei-Ching, and n/a. "On adaptive random testing." Swinburne University of Technology, 2006. http://adt.lib.swin.edu.au./public/adt-VSWT20061109.091517.

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Adaptive random testing (ART) has been proposed as an enhancement to random testing for situations where failure-causing inputs are clustered together. The basic idea of ART is to evenly spread test cases throughout the input domain. It has been shown by simulations and empirical analysis that ART frequently outperforms random testing. However, there are some outstanding issues on the cost-effectiveness and practicality of ART, which are the main foci of this thesis. Firstly, this thesis examines the basic factors that have an impact on the faultdetection effectiveness of adaptive random testi
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Kuo, Fei-Ching. "On adaptive random testing." Australasian Digital Thesis Program, 2006. http://adt.lib.swin.edu.au/public/adt-VSWT20061109.091517.

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Thesis (Ph.D) - Swinburne University of Technology, Faculty of Information & Communication Technologies, 2006.<br>A thesis submitted for the degree of PhD, Faculty of Information and Communication Technologies, Swinburne University of Technology, 2006. Typescript. Bibliography: p. 126-133.
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Mitran, Cosmin. "Guided random-based testing strategies." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, 2007. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=328.

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Ciupa, Ilinca. "Strategies for random contract-based testing /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=18143.

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Ahmad, Mian Asbat. "New strategies for automated random testing." Thesis, University of York, 2014. http://etheses.whiterose.ac.uk/7981/.

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The ever increasing reliance on software-intensive systems is driving research to discover software faults more effectively and more efficiently. Despite intensive research, very few approaches have studied and used knowledge about fault domains to improve the testing or the feedback given to developers. The present thesis addresses this shortcoming: it leverages fault co-localization in a new random testing strategy called Dirt Spot Sweep- ing Random (DSSR), and it presents two new strategies: Automated Discovery of Failure Domain (ADFD) and Automated Discovery of Failure Domain+ (ADFD+). The
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Pesaresi, Emanuele. "Leptokurtic signals in random control vibration testing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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In several industrial sectors, some components are subjected to mechanical vibrations which may lead to a premature failure. To ensure that they operate properly during their service life, the utilization of qualification tests has been consolidated over the years. It is often required to carry out accelerated tests for obvious reasons as feasibility and cost: the aim is to limit the duration of tests. The Test Tailoring procedure requires an appropriate definition for vibratory test profiles to be utilized as an excitation in terms of motion generated by vibrating tables or shakers. The synth
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Liu, Ning Lareina. "A study on improving adaptive random testing." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36428061.

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Hansson, Bevin. "Random Testing of Code Generation in Compilers." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175852.

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Compilers are a necessary tool for all software development. As modern compilers are large and complex systems, ensuring that the code they produce is accurate and correct is a vital but arduous task. Correctness of the code generation stage is important. Maintaining full coverage of test cases in a compiler is virtually impossible due to the large input and output domains. We propose that random testing is a highly viable method for testing a compiler. A method is presented to randomly generate a lower level code representation and use it to test the code generation stage of a compiler. This
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Books on the topic "Random testing"

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United States. Urban Mass Transportation Administration. Office of Technical Assistance and Safety. and Battelle Memorial Institute. Columbus Laboratories., eds. Random drug testing manual. U.S. Dept. of Transportation, Urban Mass Transportation Administration, Office of Technical Assistance and Safety, 1991.

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United States. Urban Mass Transportation Administration. Office of Technical Assistance and Safety and Battelle Memorial Institute. Columbus Laboratories, eds. Random drug testing manual. U.S. Dept. of Transportation, Urban Mass Transportation Administration, Office of Technical Assistance and Safety, 1991.

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Hamdioui, Said. Testing Static Random Access Memories. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-6706-3.

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Davis, Gerald J. Conducting random drug and alcohol testing. American Trucking Associations, 1994.

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Petlin, Oleg Alexandrovich. Random testing of asynchronous VLSI circuits. University of Manchester, 1994.

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René, David. Random testing of digital circuits: Theory & application. Marcel Dekker, 1998.

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James-Burdumy, Susanne. The effectiveness of mandatory-random student drug testing. U.S. Dept. of Education, National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, 2010.

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United States. Dept. of Transportation. Office of the Secretary, ed. DOT's drug program: Random testing : how it works. U.S. Dept. of Transportation, Office of the Secretary of Transportation, 1988.

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United States. Dept. of Transportation. Office of the Secretary, ed. DOT's drug program: Random testing : how it works. U.S. Dept. of Transportation, Office of the Secretary of Transportation, 1989.

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National Center for Education Evaluation and Regional Assistance (U.S.), ed. The effectiveness of mandatory-random student drug testing. U.S. Dept. of Education, National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, 2010.

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Book chapters on the topic "Random testing"

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Mrozek, Ireneusz. "Controlled Random Testing." In Multi-run Memory Tests for Pattern Sensitive Faults. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91204-2_4.

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Chan, Kwok Ping, Tsong Yueh Chen, and Dave Towey. "Good Random Testing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24841-5_16.

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Chen, T. Y., H. Leung, and I. K. Mak. "Adaptive Random Testing." In Advances in Computer Science - ASIAN 2004. Higher-Level Decision Making. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30502-6_23.

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Caddy, Tom. "Random Number Testing." In Encyclopedia of Cryptography and Security. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-5906-5_221.

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Chan, Kwok Ping, Tsong Yueh Chen, and Dave Towey. "Restricted Random Testing." In Software Quality — ECSQ 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47984-8_35.

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Caddy, Tom. "Random Number Testing." In Encyclopedia of Cryptography, Security and Privacy. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-642-27739-9_221-2.

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Caddy, Tom. "Random Number Testing." In Encyclopedia of Cryptography, Security and Privacy. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-030-71522-9_221.

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Kneusel, Ronald T. "Testing Pseudorandom Generators." In Random Numbers and Computers. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77697-2_4.

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L’Ecuyer, Pierre, and Peter Hellekalek. "Random Number Generators: Selection Criteria and Testing." In Random and Quasi-Random Point Sets. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1702-2_5.

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Vovk, Vladimir, Alexander Gammerman, and Glenn Shafer. "Testing Exchangeability." In Algorithmic Learning in a Random World. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06649-8_8.

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Conference papers on the topic "Random testing"

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Zhang, Zhe, Lei Chen, and Donghui Zheng. "Mathematical model of random sphere absolute measurement and the theory of multiple spheres random." In Optoelectronics Testing and Measurement, edited by Sen Han. SPIE, 2024. https://doi.org/10.1117/12.3046031.

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Oren-Loberman, Mor, Vered Paslev, and Wasim Huleihel. "Testing Dependency of Weighted Random Graphs." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619266.

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Ying, Zhihao, Dave Towey, Tsong Yueh Chen, and Zhi Quan Zhou. "MT-PART: Metamorphic-Testing-Based Adaptive Random Testing Through Partitioning." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00158.

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Laguna, Ignacio, Patrick Chapman, Konstantinos Parasyris, Giorgis Georgakoudis, and Cindy Rubio-González. "Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation." In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/scw63240.2024.00080.

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Gerlich, Rainer, Ralf Gerlich, and Thomas Boll. "Random testing." In the 2nd international workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1292414.1292424.

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Chen, T. Y., and F. C. Kuo. "Is adaptive random testing really better than random testing." In the 1st international workshop. ACM Press, 2006. http://dx.doi.org/10.1145/1145735.1145745.

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Chen, T. Y. "Adaptive Random Testing." In 2008 Eighth International Conference on Quality Software (QSIC). IEEE, 2008. http://dx.doi.org/10.1109/qsic.2008.22.

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Chen, Tsong Yueh, and Robert Merkel. "Quasi-random testing." In the 20th IEEE/ACM international Conference. ACM Press, 2005. http://dx.doi.org/10.1145/1101908.1101957.

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Arcuri, Andrea, and Lionel Briand. "Adaptive random testing." In the 2011 International Symposium. ACM Press, 2011. http://dx.doi.org/10.1145/2001420.2001452.

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Chen, Tsong Yueh, Fei-Ching Kuo, Huai Liu, and W. Eric Wong. "Does Adaptive Random Testing Deliver a Higher Confidence than Random Testing?" In 2008 Eighth International Conference on Quality Software (QSIC). IEEE, 2008. http://dx.doi.org/10.1109/qsic.2008.23.

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Reports on the topic "Random testing"

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Heckman, James, Daniel Schmierer, and Sergio Urzua. Testing the Correlated Random Coefficient Model. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15463.

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Schmierer, Daniel, James Heckman, and Sergio Urzua. Testing the correlated random coefficient model. Institute for Fiscal Studies, 2010. http://dx.doi.org/10.1920/wp.cem.2010.1010.

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Woods, Robert L. Random Drug Testing of Federal Employees. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada217954.

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Tarman, Michael F. Random Drug Testing of Army Civilian Employees. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada209622.

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Kitamura, Yuichi, and Jorg Stoye. Nonparametric analysis of random utility models: testing. Institute for Fiscal Studies, 2013. http://dx.doi.org/10.1920/wp.cem.2013.3613.

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Collins, Joseph C. Testing, Selection, and Implementation of Random Number Generators. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada486379.

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Boyle, James P. Daily Random Urinalysis Testing: Consequences of Deterrence Functions. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada294816.

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Shiller, Robert, and Pierre Perron. Testing the Random Walk Hypothesis: Power versus Frequency of Observation. National Bureau of Economic Research, 1985. http://dx.doi.org/10.3386/t0045.

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Eisele, Gerhard R., and Cameron W. Coates. Guide to Urine Specimen Collection for Random Drug Testing for the MVD-IT. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1132969.

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Tavik, Gregory C. Testing the One-Port Random Access Memory (1PRAM) Module of TRW's CPUAX Signal Processing Superchip. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada234127.

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