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Journal articles on the topic 'Testing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Praveen, Kumar Koppanati. "Parallelizing Automated UI and API Tests for Java Applications." Journal of Scientific and Engineering Research 10, no. 3 (2023): 155–59. https://doi.org/10.5281/zenodo.13912400.

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The growth and complexity of modern Java applications require newer testing strategies to make it efficient and faster. Automated testing, both for User Interfaces (UI) and Application Programming Interfaces (APIs), is crucial in maintaining the reliability and robustness of these applications. However, traditional approaches to automated testing often involve sequential execution, which can lead to significant delays in feedback and increased time-to-market. This paper discusses the parallelization of automated UI and API tests for Java applications to improve performance and testing efficien

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2

Seth, Jyotsna, Mukul Varshney, and Shivani Garg Abha Kiran Rajpoot. "Automated Testing: An Edge Over Manual Software Testing." International Journal of Trend in Scientific Research and Development Volume-1, Issue-4 (2017): 710–13. http://dx.doi.org/10.31142/ijtsrd2232.

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3

Brower, Vicki. "Testing, testing … testing?" Nature Medicine 3, no. 2 (1997): 131–32. http://dx.doi.org/10.1038/nm0297-131.

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4

Putterman, Chaim, and Eldad Ben-Chetrit. "Testing, Testing, Testing . . ." New England Journal of Medicine 333, no. 18 (1995): 1208–11. http://dx.doi.org/10.1056/nejm199511023331809.

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5

Petro, Jane A. "Testing, Testing, Testing." American Journal of Cosmetic Surgery 32, no. 2 (2015): 43–46. http://dx.doi.org/10.1177/074880681503200201.

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Petro, Jane A. "Testing, Testing, Testing." American Journal of Cosmetic Surgery 32, no. 2 (2015): 43–46. http://dx.doi.org/10.5992/0748-8068-32.2.43.

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7

Rogers, Tim B. "Testing Testing Testing..." Theory & Psychology 4, no. 2 (1994): 300–302. http://dx.doi.org/10.1177/0959354394042016.

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8

Chandrasekhar, K. "Testing Web Application using Selenium Testing Tool with Respect to Test’ng." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (2018): 4766–70. http://dx.doi.org/10.22214/ijraset.2018.4781.

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9

Bashir, Josefeena. "Hypothesis Testing." Scientific Journal of India 3, no. 1 (2018): 62–63. http://dx.doi.org/10.21276/24565644/2018.v3.i1.21.

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10

Gallagher, C. "'Testing, testing' [product testing]." Manufacturing Engineer 81, no. 6 (2002): 249–52. http://dx.doi.org/10.1049/me:20020601.

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11

Nejad, Ali Mansouri, Farhad Pakdel, and Ali Akbar Khansir. "Interaction between Language Testing Research and Classroom Testing Practice." Educational Process: International Journal 8, no. 1 (2019): 59–71. http://dx.doi.org/10.22521/edupij.2019.81.4.

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12

SARI, Halil İbrahim. "Testing Multistage Testing Configurations: Post-Hoc vs. Hybrid Simulations." International Journal of Psychology and Educational Studies 7, no. 1 (2020): 27–37. http://dx.doi.org/10.17220/ijpes.2020.01.003.

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13

esl, vil. "Test environment test two." Journal of Test Deposits 42, no. 119 (2011): 126. http://dx.doi.org/10.5555/testing-test-environment.

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14

Advaith, Aditya Chevuturu, Pratap Mathur Divyendra, Joseph Prasanth Kumar Reddy Byreddy, and Charanya R. Dr. "A Comparative Survey on Software Testing Tools." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 6 (2022): 32–40. https://doi.org/10.35940/ijeat.F3664.0811622.

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<strong>Abstract: </strong>Testing the software is an important part of the Software Development Life Cycle. In present day, the software industry’s focus is on developing quality applications. In order to save time and costs when evaluating a program, most testers have moved from manual testing to automated testing. A large variety of software testing tools, open-source as well as commercial, are available in the market. It is quite a challenging task to select a testing tool that fits best to their software, as the choices keep getting wider. With more choices comes also the increased

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15

Kaur, Kamaldeep, Sunil Khatri, Alok Mishra, and Rattan Datta. "Statistical Usage Testing at Different Levels of Testing." JUCS - Journal of Universal Computer Science 24, no. (12) (2018): 1800–1820. https://doi.org/10.3217/jucs-024-12-1800.

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Statistical Usage Testing (SUT) is the testing technique defined in Cleanroom Software Engineering model [Runeson, 93]. Cleanroom Software Engineering model is a theory based and team oriented model that is based on development and certification of software in increments using statistical quality control [Linger 96]. SUT is a black box testing technique and concentrates on how the software completes its required function from the user's perspective [Runeson, 93]. SUT is carried out by developing usage models and assigning usage probabilities. Testing is carried out on usage models by performin

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16

Beardsley, Tim. "Testing, Testing." Scientific American 274, no. 6 (1996): 38–39. http://dx.doi.org/10.1038/scientificamerican0696-38.

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17

Pitts, Stephanie E. "‘Testing, testing...’." Active Learning in Higher Education 6, no. 3 (2005): 218–29. http://dx.doi.org/10.1177/1469787405057663.

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18

Hindmarch, Sonali. "Testing, testing." 5 to 7 Educator 2008, no. 46 (2008): 5. http://dx.doi.org/10.12968/ftse.2008.7.10.30982.

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19

Brey, Robin L. "Testing, Testing." Neurology Now 4, no. 6 (2008): 7. http://dx.doi.org/10.1097/01.nnn.0000343170.45828.28.

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20

Moore, John W. "Testing, Testing." Journal of Chemical Education 78, no. 7 (2001): 855. http://dx.doi.org/10.1021/ed078p855.

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21

Emmanuel, Anton V. "Testing, testing." Frontline Gastroenterology 9, no. 2 (2018): 85. http://dx.doi.org/10.1136/flgastro-2018-100978.

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22

Buchanan, Mark. "Testing, testing." Nature Physics 8, no. 5 (2012): 355. http://dx.doi.org/10.1038/nphys2305.

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23

Yngve, Agneta. "Testing, testing." Public Health Nutrition 10, no. 9 (2007): 864. http://dx.doi.org/10.1017/s1368980007797215.

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24

Stevenson, Douglas K. "Testing, testing." System 14, no. 1 (1986): 85–93. http://dx.doi.org/10.1016/0346-251x(86)90053-9.

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25

D., Rajya Lakshmi, and Suguna Mallika S. "A Review on Web Application Testing and its Current Research Directions." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 4 (2017): 2132–41. https://doi.org/10.11591/ijece.v7i4.pp2132-2141.

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Testing is an important part of every software development process on which companies devote considerable time and effort. The burgeoning web applications and their proliferating economic significance in the society made the area of web application testing an area of acute importance. The web applications generally tend to take faster and quicker release cycles making their testing very challenging. The main issues in testing are cost efficiency and bug detection efficiency. Coverage-based testing is the process of ensuring exercise of specific program elements. Coverage measurement helps dete

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26

Paul Singh Sahni, Bhupinder. "Software Testing Techniques." International Journal of Science and Research (IJSR) 9, no. 7 (2020): 2014–17. http://dx.doi.org/10.21275/sr24628184637.

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27

Hu, Shueh-Cheng, and I.-Ching Chen. "A Software Testing Service Supporting Long-Lived and Asynchronous Testing Jobs." Lecture Notes on Software Engineering 2, no. 4 (2014): 314–19. http://dx.doi.org/10.7763/lnse.2014.v2.142.

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28

Helexa, Milan, Ján Kováč, and Jozef Krilek. "Testing tyres of mobile forest machines in the soil testing canal." Research in Agricultural Engineering 67, No. 4 (2021): 190–98. http://dx.doi.org/10.17221/76/2020-rae.

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The article focuses on the research of tyre rolling resistances in the soil test channel environment. The specific monitored tyre was a Mitas TS05 10.0/75-15.3 10PR diagonal tyre with an arrow tread. The measurement itself was divided into two stages. In the first stage, measurements of rolling resistance were performed on a solid concrete base of the laboratory in order to determine the internal component of rolling resistance of the tyre. In the second stage, rolling resistances were monitored on forest soil deposited in the main body of the soil channel. The mentioned measurements of rollin

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29

Afrin, Arashiya, and Kamar Mohsin. "Testing approach: Manual testing vs automation testing." Global Sci-Tech 9, no. 1 (2017): 55. http://dx.doi.org/10.5958/2455-7110.2017.00008.8.

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30

Doddington, Christine, Eve Bearne, Helen Demetriou, and Julia Flutter. "‘Testing, testing, testing… can you hear me?’." Education 3-13 29, no. 3 (2001): 43–46. http://dx.doi.org/10.1080/03004270185200361.

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31

Yakoob, Rahila, and Gopalkrishna Bhat K. "Comparision of Direct Antibiotic Susceptibility Testing with Standard Testing in Blood Culture." Journal of Pure and Applied Microbiology 12, no. 4 (2018): 2289–96. http://dx.doi.org/10.22207/jpam.12.4.70.

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32

Mensah, Yaw Agyei, Abigail Ajoke Ogunlolu, and Yaw Asa Mensah. "Hybrid software testing model to improve software quality assurance." Global Journal of Engineering and Technology Advances 17, no. 1 (2023): 104–16. https://doi.org/10.5281/zenodo.10674893.

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Software testing is a very critical factor in determining the quality, robustness and reliability of applications. Testing methods have advanced to accommodate the various software development practices that are being churned out at frequent rates and representing complex systems. One such method is the hybrid software testing model, which combines the strengths of different testing techniques to achieve comprehensive testing coverage. This study provides an in-depth analysis of the hybrid software testing model, exploring its definition, benefits, challenges, and best practices. Furthermore,

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33

Falah, Bouchaib, and Souhail Marghabi. "Towards Regression Testing Constraints." International Journal of Modeling and Optimization 4, no. 6 (2014): 504–9. http://dx.doi.org/10.7763/ijmo.2014.v4.425.

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34

Tiwari, Vijay Kumar. "Oracle Database Backup Testing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 2043–44. http://dx.doi.org/10.31142/ijtsrd11572.

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35

U Kerkar, Sairaj, Jyothi Warrier, and U. R Bagal. "Swab Testing Robotic Arm." International Journal of Science and Research (IJSR) 11, no. 7 (2022): 1297–301. http://dx.doi.org/10.21275/sr22718163040.

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36

Genov, Borislav. "Justification of nondestructive testing." Journal scientific and applied research 1, no. 1 (2012): 76–86. http://dx.doi.org/10.46687/jsar.v1i1.22.

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Progress in technology has enabled improvement in performance of materials and processes. These advancements lead to reduction in size and weight of engineering structures. But these structures become more sophisticated and expensive,and these lead to introduce quantitative nondestructive measures to ensure quality throughout all production process. This is particularly true for these applications, where the cost of the failure of a component can be unavoidable high compared to the cost of preventive measures, or the failure may cause catastrophic consequences. The following paper reviews pres

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37

Schneider, Carl E. "At Law: Testing Testing." Hastings Center Report 27, no. 4 (1997): 22. http://dx.doi.org/10.2307/3528775.

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38

Pray, Toni. "Testing... Testing... for Fran." English Journal 77, no. 4 (1988): 86. http://dx.doi.org/10.2307/819317.

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39

Thomas, Alex. "Testing, Testing, 1, 2." Contemporary Psychology: A Journal of Reviews 38, no. 12 (1993): 1304–6. http://dx.doi.org/10.1037/032864.

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40

Neubrand, Tobias. "Non-Destructive Testing Testing." Consumer Electronics Test & Development 2021, no. 2 (2022): 44–45. http://dx.doi.org/10.12968/s2754-7744(23)70078-x.

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41

Hareesh, Kumar Rapolu. "Automated Testing in Java-Comparative Analysis of Automated Testing Tools." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 7, no. 6 (2021): 1–5. https://doi.org/10.5281/zenodo.14883117.

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The following research project has signified with a detailed analysis of several automated testing tools which are being constructed specifically for Java applications. It has risen with the rising complexity of software systems in which effective testing has been considered for determining quality and reliability. Moreover, the combination of testing tools such as TestNG and JUnit has paved the path for supporting the community. Furthermore, the utilisation of valid recommendations such as TestNG for integration testing and Selenium for UI testing has proved to be suitable for specific testin

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42

Sarika, Rane, Potdar Varad, Trivedi Harsh, and Ughade Yash. "Designing White Box Test Cases for Online Food Delivery System." Journal of Advancement in Software Engineering and Testing 4, no. 3 (2022): 1–4. https://doi.org/10.5281/zenodo.6134394.

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<em>Let’s say, you are given a completely wrapped gift package and given the task of observing and noting all of the flaws you can uncover without opening the wrapper. You won't be able to see what's inside a Black Box, just as you won't be able to see what's within an object. White box testing is a software analysis approach that involves analysing a product's fundamental structure, architecture, and code in order to ensure input-output flow and enhance design, usability, and security. It's one of two parts of the software testing technique known as Box Testing.

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43

ROTHMAN, ARTHUR I. "Confidence Testing: an Extension of Multiple-choice Testing1." Medical Education 3, no. 3 (2009): 237–39. http://dx.doi.org/10.1111/j.1365-2923.1969.tb02089.x.

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44

Samir, Amira, Maghawry Huda Amin, and Nagwa Badr. "An Enhanced Testing Approach for Mobile Applications." JUCS - Journal of Universal Computer Science 29, no. (2) (2023): 152–78. https://doi.org/10.3897/jucs.86295.

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Nowadays, there is an enormous number of mobile applications that are continuously being launched to the market. As a result of this rapid process, there is a need to increase the speed of testing process using enhanced approaches. This research aims to increase the effectiveness of the graphical user interface testing process of mobile applications. This is achieved by proposing an enhanced combinatorial-based metaheuristic approach. The proposed approach aims to maximize statement and branch coverage by applying Cuckoo search, for event selection. The approach was compared to monkey, frequen

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45

Kusum, Talwar Pritika, Puri Amit, and Kumar Guneet. "Overview of software testing." Global Journal of Engineering and Technology Advances 19, no. 1 (2024): 104–12. https://doi.org/10.5281/zenodo.13690783.

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Software testing is a task conducted to assess the quality of software and enhance its performance. This process ensures that the software behaves as expected according to user requirements. The software development life cycle (SDLC) outlines various stages such as Analysis, Requirements, Design, Development, Testing, Deployment, and Maintenance to guide the software development process. The primary objective of SDLC is to deliver error-free software that meets user expectations within specified timeframes. Software testing is an integral part of SDLC, serving to identify issues and ensure the

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46

Morgan, L. "Testing defects in automated ultrasonic testing and radiographic testing." Insight - Non-Destructive Testing and Condition Monitoring 60, no. 11 (2018): 606–12. http://dx.doi.org/10.1784/insi.2018.60.11.606.

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47

Cody, Hanson, and R. Walcott Kristen. "NETCDL : THE NETWORK CERTIFICATION DESCRIPTION LANGUAGE." International Journal of Computational Science, Information Technology and Control Engineering (IJCSITCE) 5, no. 3 (2019): 1–20. https://doi.org/10.5281/zenodo.3361024.

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Modern IP networks are complex entities that require constant maintenance and care. Similarly, constructing a new network comes with a high amount of upfront cost, planning, and risk. Unlike the disciplines of software and hardware engineering, networking and IT professionals lack an expressive and useful certification language that they can use to verify that their work is correct. When installing and maintaining networks without a standard for describing their behavior, teams find themselves prone to making configuration mistakes. These mistakes can have real monetary and operational efficie

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48

Pedersen, Jean, and Peter Ross. "Testing Understanding and Understanding Testing." College Mathematics Journal 16, no. 3 (1985): 178. http://dx.doi.org/10.2307/2686568.

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49

Noijons, José. "Testing Computer Assisted Language Testing." CALICO Journal 12, no. 1 (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 comput

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50

Segura, Sergio, Dave Towey, Zhi Quan Zhou, and Tsong Yueh Chen. "Metamorphic Testing: Testing the Untestable." IEEE Software 37, no. 3 (2020): 46–53. http://dx.doi.org/10.1109/ms.2018.2875968.

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