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Journal articles on the topic 'Computer software testing'

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Published: 4 June 2021
Last updated: 31 July 2024

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1

Elliott, Bruce. "Testing Computer Software." Software Engineering Journal 9, no. 5 (1994): 229. http://dx.doi.org/10.1049/sej.1994.0030.

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2

Zhang, Li, Xiao Dong Mu, Hai Jing Zhang, and Wei Song. "Comparison between Object-Oriented Software Testing and Traditional Software Testing." Applied Mechanics and Materials 411-414 (September 2013): 497–500. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.497.

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Object-oriented technology has been widely used in the area of computer software. However, traditional software testing techniques cannot perform effectively on object-oriented software. The differences between object-oriented software testing and traditional software testing are compared and elaborated from three aspects: testing model, testing software and testing cases.
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3

Wang, Pin. "Safety Testing Method Analysis of Computer Software." Applied Mechanics and Materials 299 (February 2013): 135–38. http://dx.doi.org/10.4028/www.scientific.net/amm.299.135.

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Along with the computer network application becomes more popular, along with our country Internet market becoming stronger, more and more individuals or enterprises to commercial activities into the electronic commerce platform, so the computer software security has become increasingly important. Therefore, to strengthen the security of computer software protection research is very necessary, and guarantee the software safety is one of the effective means of software security hidden trouble detection. This paper will discuss the computer software system in safety detection method. Computer software security testing technology is existing computer software safety based, effective recognition computer software security problems in.
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4

Noijons, José. "Testing Computer Assisted Language Testing." CALICO Journal 12, no. 1 (January 14, 2013): 37–58. http://dx.doi.org/10.1558/cj.v12i1.37-58.

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Much computer assisted language learning (CALL) material that includes tests and exercises looks attractive enough but is clearly lacking in terms of validation: the possibilities of the computer and the inventiveness of the programmers mainly determine the format of tests and exercises, causing possible harm to a fair assessment of pupils' language abilities. This article begins with a definition of computer assisted language testing (CALT), followed by a discussion of the various processes involved. E3oth advantages and disadvantages of CALT are outlined. Psychometric aspects of computer adaptive testing are then discussed. Issues of validity and reliability in CALT are acknowledged. A table of factors in CALT distinguishes between test content and the mechanics of taking a test, before, during and after a test. The various factors are examined and comprise a table for developing a CALT checklist. The article ends with a call for professional testers and developers of educational software to work together in developing CALT.
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5

Jia, Xinyang. "Research on Computer Software Security Testing Techniques and Applications." Journal of Intelligence and Knowledge Engineering 1, no. 4 (December 2023): 82–87. http://dx.doi.org/10.62517/jike.202304415.

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Computer software security testing is a critical step in ensuring the security of computer systems. This research focuses on the techniques and applications of computer software security testing. Firstly, an analysis is conducted on three common testing methods: black-box testing, white-box testing, and grey-box testing. Next, the analysis and evaluation of security testing technology based on vulnerability mining, static analysis, and dynamic analysis are discussed. Lastly, the application practice of computer software security testing technology in web applications and mobile applications is explored. This research provides insight and guidance for computer software security testing.
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6

Ould, M. "Understanding software testing." Information and Software Technology 33, no. 4 (May 1991): 303. http://dx.doi.org/10.1016/0950-5849(91)90161-4.

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7

Pohl, Klaus, and Andreas Metzger. "Software product line testing." Communications of the ACM 49, no. 12 (December 2006): 78–81. http://dx.doi.org/10.1145/1183236.1183271.

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8

Binder, Robert V. "Object-oriented software testing." Communications of the ACM 37, no. 9 (September 1994): 28–29. http://dx.doi.org/10.1145/182987.182988.

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9

Denisov, E. Yu, A. G. Voloboy, E. D. Biryukov, M. S. Kopylov, and I. A. Kalugina. "Automated Software Testing Technologies for Realistic Computer Graphics." Programming and Computer Software 47, no. 1 (January 2021): 76–87. http://dx.doi.org/10.1134/s0361768820080034.

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10

Anderson, Max D., Steven A. Hauk, Robert Laramore, and Hardy J. Pottinger. "Computer-Aided Testing of Electrical Machines: Software Development." IEEE Power Engineering Review PER-7, no. 8 (August 1987): 60. http://dx.doi.org/10.1109/mper.1987.5527077.

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11

Kazemian, Fereydoun, and Trudy Howles. "A software testing course for computer science majors." ACM SIGCSE Bulletin 37, no. 4 (December 2005): 50–53. http://dx.doi.org/10.1145/1113847.1113876.

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12

Pi, Chenchen. "Development and Classification of Computer Software Testing Technology." Journal of Physics: Conference Series 1650 (October 2020): 032111. http://dx.doi.org/10.1088/1742-6596/1650/3/032111.

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13

Anderson, Max D., Steven A. Hauk, Robert Laramore, and Hardy J. Pottinger. "Computer-Aided Testing of Electrical Machines: Software Development." IEEE Transactions on Power Systems 2, no. 3 (1987): 824–30. http://dx.doi.org/10.1109/tpwrs.1987.4335215.

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14

Baba, Takanobu, Shinzi Suzuki, Katsuhiro Yamazaki, Kenzo Okuda, and Toshiyuki Sano. "Software testing system supported by a computer architecture." Systems and Computers in Japan 17, no. 10 (1986): 88–102. http://dx.doi.org/10.1002/scj.4690171009.

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15

Powell, Grant. "Award Winning Software Testing." ITNOW 66, no. 1 (February 15, 2024): 38. http://dx.doi.org/10.1093/itnow/bwae018.

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16

Arkin, B., S. Stender, and G. McGraw. "Software penetration testing." IEEE Security and Privacy Magazine 3, no. 1 (January 2005): 84–87. http://dx.doi.org/10.1109/msp.2005.23.

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17

Lee, J., S. Kang, and D. Lee. "Survey on software testing practices." IET Software 6, no. 3 (2012): 275. http://dx.doi.org/10.1049/iet-sen.2011.0066.

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18

HWANG, GWAN-HWAN, KUO-CHUNG TAI, and TING-LU HUANG. "REACHABILITY TESTING: AN APPROACH TO TESTING CONCURRENT SOFTWARE." International Journal of Software Engineering and Knowledge Engineering 05, no. 04 (December 1995): 493–510. http://dx.doi.org/10.1142/s0218194095000241.

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Concurrent programs are more difficult to test than sequential programs because of non-deterministic behavior. An execution of a concurrent program non-deterministically exercises a sequence of synchronization events called a synchronization sequence (or SYN-sequence). Non-deterministic testing of a concurrent program P is to execute P with a given input many times in order to exercise distinct SYN-sequences. In this paper, we present a new testing approach called reachability testing. If every execution of P with input X terminates, reachability testing of P with input X derives and executes all possible SYN-sequences of P with input X. We show how to perform reachability testing of concurrent programs using read and write operations. Also, we present results of empirical studies comparing reachability and non-deterministic testing. Our results indicate that reachability testing has advantages over non-deterministic testing.
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19

Barrett, BW. "Software testing and evaluation." Information and Software Technology 32, no. 10 (December 1990): 699. http://dx.doi.org/10.1016/0950-5849(90)90106-2.

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20

Ferrer, Javier, Francisco Chicano, and Enrique Alba. "Estimating software testing complexity." Information and Software Technology 55, no. 12 (December 2013): 2125–39. http://dx.doi.org/10.1016/j.infsof.2013.07.007.

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21

Cadar, Cristian, and Koushik Sen. "Symbolic execution for software testing." Communications of the ACM 56, no. 2 (February 2013): 82–90. http://dx.doi.org/10.1145/2408776.2408795.

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22

Gelperin, D., and B. Hetzel. "The growth of software testing." Communications of the ACM 31, no. 6 (June 1988): 687–95. http://dx.doi.org/10.1145/62959.62965.

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23

Meyer, Bertrand. "Seven Principles of Software Testing." Computer 41, no. 8 (August 2008): 99–101. http://dx.doi.org/10.1109/mc.2008.306.

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24

Cohen, Cynthia F., Stanley J. Birkin, Monica J. Garfield, and Harold W. Webb. "Managing conflict in software testing." Communications of the ACM 47, no. 1 (January 1, 2004): 76–81. http://dx.doi.org/10.1145/962081.962083.

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25

Arfa Hasan and Muhammad Adnan Khan. "Software Testing for cyber Security." Lahore Garrison University Research Journal of Computer Science and Information Technology 3, no. 4 (December 31, 2019): 53–57. http://dx.doi.org/10.54692/lgurjcsit.2019.030493.

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Software testing plays a vital role in software security because hackers attack on a system through back channels which they can easily find if there is any error or bug exists in the software. The software security failure can cause the unbearable loss for IT companies and other organizations. Cyber security is another big issue for computer users' personal data as all their information is vulnerable because of easy excess, visibility and availability. Therefore, software testing is also useful to secure the personal information. In this article, cyber security testing based on particle swam optimization algorithm (CST) is proposed for testing of software cyber security testing. CSTPSOA is a PSO base technique which is used to solve the complex multi-level problems and is also used for optimization. In the CST method PSO is used for the optimization of test cases for cyber security testing.
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26

Hailpern, B., and P. Santhanam. "Software debugging, testing, and verification." IBM Systems Journal 41, no. 1 (2002): 4–12. http://dx.doi.org/10.1147/sj.411.0004.

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27

Wei, Qiong, Xinzhi Chen, Hongxia Xiao, and Li Zou. "Computer Immunology Testing CAI Teaching Software Production and Application." Journal of Physics: Conference Series 1915, no. 3 (May 1, 2021): 032087. http://dx.doi.org/10.1088/1742-6596/1915/3/032087.

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28

Talib, Manar Abu. "Testing closed source software: computer forensic tool case study." Journal of Computer Virology and Hacking Techniques 14, no. 2 (August 31, 2017): 167–79. http://dx.doi.org/10.1007/s11416-017-0302-x.

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29

Reinders, Paul P., Philip H. van Vianen, Maarten van der Keur, Anneloes van Engen, Chris J. Janse, and Hans J. Tanke. "Computer software for testing drug susceptibility of malaria parasites." Cytometry 19, no. 3 (March 1, 1995): 273–81. http://dx.doi.org/10.1002/cyto.990190312.

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30

Giannakopoulou, D., C. S. Păsăreanu, and C. Blundell. "Assume-guarantee testing for software components." IET Software 2, no. 6 (2008): 547. http://dx.doi.org/10.1049/iet-sen:20080012.

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31

Salas, Percy Pari, and Padmanabhan Krishnan. "Automated Software Testing of Asynchronous Systems." Electronic Notes in Theoretical Computer Science 253, no. 2 (October 2009): 3–19. http://dx.doi.org/10.1016/j.entcs.2009.09.048.

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32

Liu, Zhi Guo, Jun Yu Li, and Xiu Li Ren. "Research on the Parameter Model Simulation Based on Computer Simulation Basketball Match." Advanced Materials Research 791-793 (September 2013): 1203–7. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1203.

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With the development of computer hardware and software, the simulation of computer virtual simulation has been rapid development. The running process of computer simulation platform need to deal with massive data, and in general software testing technology can not meet the requirements. On the basis of this, an application computer virtual platforms parallel test method is proposed. Firstly, this paper gives a brief introduction for the process of computer simulation, and then the testing method can carry out software programming, it will realize the virtual process of serial FIFO buffer and register through reading and writing function. In order to develop basketball virtual platform as an example, the use of Simulink modules in MATLAB compare the serial and parallel testing of two testing methods used by software debugging time. Finally, we find that the parallel test is the best scheme of computer virtual platform software test, to provide theoretical reference for the design of software testing process.
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33

Schneidewind, Norman F. "Software Sequential Testing Model." Journal of Aerospace Computing, Information, and Communication 5, no. 9 (September 2008): 312–20. http://dx.doi.org/10.2514/1.34543.

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34

Stytz, M. R., and S. B. Banks. "Dynamic software security testing." IEEE Security & Privacy Magazine 4, no. 3 (May 2006): 77–79. http://dx.doi.org/10.1109/msp.2006.64.

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35

Farooq, Muhammad Shoaib, Rabia Tehseen, Uzma Omer, Shamyla Riaz, and Saba Tahir. "Software Testing Education: A Systematic Literature Review." VFAST Transactions on Software Engineering 9, no. 4 (December 31, 2021): 109–25. http://dx.doi.org/10.21015/vtse.v9i4.953.

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Software Testing is the core part of computer science & engineering curriculum. It has been observed that software testing has been taught much in Computer science & engineering disciplines at undergraduate level. Software Testing Education (STE) involves time, cost, risk, quality, integration, communication, human resource, and procurement management skills. The STE at undergraduate and graduate level is a challenging task because it also requires knowledge and experience. This article aims to investigate and synthesize the state-of-the-art research in STE for the improvement of STE curriculum, pedagogical tools and techniques, cognitive, empirical and assessments methods. STE research approaches has been categorized into five categories including empirical type, research approaches, software testing education processes, key areas, and curricula. The ninety-seven articles for the area of STE have been chosen after rigorous systematic screening process published in during 2004 to 2021. Furthermore, tools and techniques, testing processes, pedagogy and student performance are the frequently addressed in STE; whereas assessment methods, gamification, curriculum and exemplary program development appeared as mostly ignored areas. Lastly, research gaps and challenges relate to STE has been presented as future directions for the faculty, software industry, and researchers.
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36

Myers, J. Paul. "The complexity of software testing." Software Engineering Journal 7, no. 1 (1992): 13. http://dx.doi.org/10.1049/sej.1992.0002.

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37

Sirer, Emin Gün, and Brian N. Bershad. "Using production grammars in software testing." ACM SIGPLAN Notices 35, no. 1 (January 2000): 1–13. http://dx.doi.org/10.1145/331963.331965.

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38

Liu, Wei, and Gong Kun Cao. "Integrated Design of Testing Software in Machinery Production." Applied Mechanics and Materials 484-485 (January 2014): 938–40. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.938.

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The development of modern scientifical technology has greatly promoted the reformation in the field of machinery industry; meanwhile, this technology development has also brought tremendous impact on the relevant production industry as well as improve the level of production and technology. With the integrated development of various technologies, electromechanical control areas will contribute to more practical applications in industrial and scientific research as well as other fields, with core fields in computer electronics technology and mechanical technology. This paper will outline the development of mechanical and electronic control in industry. Besides, this paper will also focuses on the wide applications introduction of computer testing software in the machinery and electronics industries as well as industrial production manufacturing and people's daily life.
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39

M.S, Diwakara Vasuman. "Software Testing Techniques and Methodologies: A Systematic Literature Review." Journal of Knowledge in Data Science and Information Management 1, no. 1 (April 18, 2024): 39–54. http://dx.doi.org/10.46610/jokdsim.2024.v01i01.005.

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This considers organising auxiliary investigations within the program testing division. The reason for this think about is to make files that make it less difficult to find the foremost important information from auxiliary inquiries, hence promoting evidence-based decision-making in any particular program testing segment. Computer program testing is the method of confirming and approving a computer program application or program to ensure that it fulfils the requirements of its clients. Program testing relates to and lowers general computer program costs. Different program advancement strategies and strategies have risen to extend program quality. In this ponder, we inspected the foremost regularly utilized datasets, methods, assessment criteria, and testing challenges experienced by an inquiry about community. Program testing may be a hazardous undertaking. Amid the testing process, program analysers must prioritize diminishing the number of tests to a sensible set and making educated judgments on which dangers to test. The complexity of today's program frameworks, alongside competitive weights, has driven to expanded centre on quality affirmation. Program testing may be a pivotal angle of the Program Advancement Lifecycle and requires successful methods and strategies. This article examines existing and upgraded testing methods for better quality affirmation reasons.
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40

Maamri, Ramdane, and Zaidi Sahnoun. "Multi-Agent Plateform for Software Testing." Information Technology Journal 6, no. 1 (December 15, 2006): 48–56. http://dx.doi.org/10.3923/itj.2007.48.56.

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41

Armour, Phillip G. "The unconscious art of software testing." Communications of the ACM 48, no. 1 (January 2005): 15–18. http://dx.doi.org/10.1145/1039539.1039554.

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42

David Coward, P. "A review of software testing." Information and Software Technology 30, no. 3 (April 1988): 189–98. http://dx.doi.org/10.1016/0950-5849(88)90065-1.

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43

Lastovetsky, Alexey. "Parallel testing of distributed software." Information and Software Technology 47, no. 10 (July 2005): 657–62. http://dx.doi.org/10.1016/j.infsof.2004.11.006.

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44

Kan, S. H., J. Parrish, and D. Manlove. "In-process metrics for software testing." IBM Systems Journal 40, no. 1 (2001): 220–41. http://dx.doi.org/10.1147/sj.401.0220.

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45

Bernstein, Lawrence, and Christine M. Yuhas. "Testing network management software." Journal of Network and Systems Management 1, no. 1 (March 1993): 5–15. http://dx.doi.org/10.1007/bf01026825.

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46

Joslin, Philip R. "Software for Reliability Testing of Computer Peripherals: A Case History." IEEE Transactions on Reliability 35, no. 3 (1986): 279–84. http://dx.doi.org/10.1109/tr.1986.4335433.

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47

Abbaneo, C., G. Biondi, M. Ferrando, and G. Mongardi. "Testing of a Computer Based Interlocking Software: Methodology and Environment." IFAC Proceedings Volumes 25, no. 30 (October 1992): 159–65. http://dx.doi.org/10.1016/s1474-6670(17)49424-9.

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48

Zheng, Yong, Jin Li Wang, Yuan Wei Ye, Jing Jiao, Gang Wang, Yi Guo Deng, Shuang Mei Qin, and Zhi Lian Peng. "Design of a Digitalized Testing System for Simple Beam Charpy Impact Testing Machine." Advanced Materials Research 430-432 (January 2012): 1536–41. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.1536.

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In order to facilitate the recording, displaying and computer statistical analyzing of experimental data, digitalizing modifications were made on the testing system of a simple beam Charpy impact testing machine with an incremental rotary encoder, a Siemens CPU224 PLC and ForceControl Configuration Software. Hardware and software designs were made for the testing system. The improved system can automatically record impact absorbing energy and pendulum angle, real time display and print impact energy diagrams by computer, and it can also output the measure results in EXCEL format which is convenient for data analysis and processing.
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49

de Vries, Stephen. "Software Testing for security." Network Security 2007, no. 3 (March 2007): 11–15. http://dx.doi.org/10.1016/s1353-4858(07)70027-2.

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50

Rees, Frank. "Software firms are testing Australian law." Computer Fraud & Security 1997, no. 7 (July 1997): 19. http://dx.doi.org/10.1016/s1361-3723(97)89551-6.

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