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Journal articles on the topic 'Software testing'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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1

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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2

Ansari, Mohammed Afzal, and Kiran Bhimrao Ingle. "Software Testing." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 979–84. http://dx.doi.org/10.22214/ijraset.2022.43914.

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Abstract— With the developing complexity of today’s software program applications injunction with the increasing competitive pressure has driven the excellent assurance of developed software towards new heights. software program trying out is an inevitable part of the software program development Lifecycle and retaining in keeping with its criticality in the pre and submit development process makes it something that have to be catered with stronger and green methodologies and strategies. This paper objectives to speak about the prevailing in addition to advanced trying out techniques for the betterquality warranty functions. Keywords— Testing Methodologies, Software Testing Life Cycle, Testing Frameworks, Automation Testing, Test Driven Development, Test optimization, Quality Metrics

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3

Armitage, A. F. "Testing Software." Measurement and Control 24, no. 9 (1991): 286–91. http://dx.doi.org/10.1177/002029409102400904.

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4

Freeman, H. "Software testing." IEEE Instrumentation & Measurement Magazine 5, no. 3 (2002): 48–50. http://dx.doi.org/10.1109/mim.2002.1028373.

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5

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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6

Tawfig, S., and A. Mili. "Testing Software Product Lines: A Case Study." International Journal of Computer and Electrical Engineering 7, no. 1 (2015): 1–25. http://dx.doi.org/10.17706/ijcee.2015.v7.870.

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7

Cai, Kai-Yuan. "Optimal software testing and adaptive software testing in the context of software cybernetics." Information and Software Technology 44, no. 14 (2002): 841–55. http://dx.doi.org/10.1016/s0950-5849(02)00108-8.

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8

Molu, Fatma. "Software Testing Strategy." International Journal of E-Services and Mobile Applications 6, no. 2 (2014): 23–36. http://dx.doi.org/10.4018/ijesma.2014040103.

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Complex financial conversion projects with large budgets have many different challenges. For companies that want to survive in conditions of tough competition, legacy (old) systems must continue to provide the required service throughout the project life cycle and in some circumstances even after project completion partly. In this case, the term coexistence comes into prominence. During this period, testing phase takes more critical role while integration systems' complexity and risk amount increase. Determining testing approach to use is essential to make sure both transformed and legacy systems provide service synchronously. In this paper, testing practices applied in the long conversion processes are discussed. Primarily, the basic features of the critical financial systems are addressed and then the main adoption methods in the literature are summarized. Then a variety of testing methodologies are presented depending on those adoption methods. These samples based on real-life experiences of transformation project. The most extensive example of real-time online financial systems is core banking systems. This paper covers the testing life cycle process of the large scale project of core banking system transformation project of a bank in Turkey.

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9

Ebert, Christof, Divith Bajaj, and Michael Weyrich. "Testing Software Systems." IEEE Software 39, no. 4 (2022): 8–17. http://dx.doi.org/10.1109/ms.2022.3166755.

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10

Noijons, José. "Oral Testing Software." CALICO Journal 19, no. 2 (2017): 462–71. http://dx.doi.org/10.1558/cj.35164.

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11

Heller, William M. "Dissolution-testing software." American Journal of Health-System Pharmacy 44, no. 10 (1987): 2367. http://dx.doi.org/10.1093/ajhp/44.10.2367.

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12

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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13

Lutz, M., D. G. Wildes, E. J. Nieters, et al. "Testing tools (software)." IEEE Software 7, no. 3 (1990): 53–57. http://dx.doi.org/10.1109/52.55228.

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14

Kuhn, Rick, Raghu Kacker, Yu Lei, and Justin Hunter. "Combinatorial Software Testing." Computer 42, no. 7 (2009): 94–96. http://dx.doi.org/10.1109/mc.2009.253.

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15

Varma, Tathagat. "Automated software testing." ACM SIGSOFT Software Engineering Notes 25, no. 3 (2000): 65. http://dx.doi.org/10.1145/505863.505890.

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16

Khan, R. A., and R. K. Choudhary. "Software testing process." ACM SIGSOFT Software Engineering Notes 36, no. 4 (2011): 1–5. http://dx.doi.org/10.1145/1988997.1989019.

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17

Harrold, Mary Jean. "Testing evolving software." Journal of Systems and Software 47, no. 2-3 (1999): 173–81. http://dx.doi.org/10.1016/s0164-1212(99)00037-0.

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18

Potter, B., and G. McGraw. "Software security testing." IEEE Security & Privacy Magazine 2, no. 5 (2004): 81–85. http://dx.doi.org/10.1109/msp.2004.84.

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19

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

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20

Regulwar, Ganesh B., and Vijay S. Gulhane. "Software Testing Practices." International Journal of Computer Applications 1, no. 2 (2010): 1–7. http://dx.doi.org/10.5120/68-165.

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21

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

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22

F.El-Sofany, Hosam, Islam A. Taj-Eddin, Hassan El-Hoimal, Tourki Al-Tourki, and Amjad Al-Sadoon. "Enhancing Software Quality by an SPL Testing based Software Testing." International Journal of Computer Applications 69, no. 6 (2013): 5–13. http://dx.doi.org/10.5120/11844-7574.

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23

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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24

He, Zhonglin, Geoff Staples, Margaret Ross, Ian Court, and Keith Hazzard. "Orthogonal software testing: Taguchi methods in software unit and subsystem testing." Logistics Information Management 10, no. 5 (1997): 189–94. http://dx.doi.org/10.1108/09576059710174252.

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25

He, ZhiTao, Chao Liu, and HaiHua Yan. "Software testing evolution process model and growth of software testing quality." Science China Information Sciences 58, no. 3 (2015): 1–6. http://dx.doi.org/10.1007/s11432-015-5284-z.

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26

Suranto, Beni. "Software Testing in Component-Based Software Engineering." Advanced Science Letters 22, no. 10 (2016): 3110–14. http://dx.doi.org/10.1166/asl.2016.8004.

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27

P., Saravanan. "Bayesian Software Failure Probability based Time-Invariant Tanimoto Random Testing for Software Quality Management." Journal of Advanced Research in Dynamical and Control Systems 12, no. 01-Special Issue (2020): 473–85. http://dx.doi.org/10.5373/jardcs/v12sp1/20201094.

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28

Mohsenzadeh, A. "Software Trustworthy Testing Based On Cloud Testing." Journal of Mathematics and Computer Science 14, no. 04 (2015): 284–94. http://dx.doi.org/10.22436/jmcs.014.04.03.

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29

Avritzer, Alberto, and Brian Larson. "Load testing software using deterministic state testing." ACM SIGSOFT Software Engineering Notes 18, no. 3 (1993): 82–88. http://dx.doi.org/10.1145/174146.154244.

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30

Berard, E. V. "Bringing testing into the fold [software testing]." IEEE Software 13, no. 3 (1996): 91–92. http://dx.doi.org/10.1109/52.493025.

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31

Asabe Gambo, Dan, Nadine Simmons, Murtadha Kareem, and Oliver Faust. "SOFTWARE DEFINED ANTENNA TESTING." ICTACT Journal on Communication Technology 8, no. 4 (2017): 1664–72. http://dx.doi.org/10.21917/ijct.2017.0244.

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32

Rais, Aziz Ahmad. "Interface based software testing." Journal of Systems Integration 7, no. 4 (2016): 46–54. http://dx.doi.org/10.20470/jsi.v7i4.277.

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33

Pollard, W. F., Martyn A. Ould, and Charles Unwin. "Testing in Software Development." Mathematical Gazette 71, no. 458 (1987): 331. http://dx.doi.org/10.2307/3617087.

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34

Ashbacher, Charles. "Software Testing: Interview Questions." Journal of Object Technology 7, no. 7 (2008): 53. http://dx.doi.org/10.5381/jot.2008.7.7.r1.

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35

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

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36

Alyahya, Sultan. "Collaborative Crowdsourced Software Testing." Electronics 11, no. 20 (2022): 3340. http://dx.doi.org/10.3390/electronics11203340.

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Crowdsourced software testing (CST) uses a crowd of testers to conduct software testing. Currently, the microtasking model is used in CST; in it, a testing task is sent to individual testers who work separately from each other. Several studies mentioned that the quality of test reports produced by individuals was a drawback because a large number of invalid defects were submitted. Additionally, individual workers tended to catch the simple defects, not those with high complexity. This research explored the effect of having pairs of collaborating testers working together to produce one final test report. We conducted an experiment with 75 workers to measure the effect of this approach in terms of (1) the total number of unique valid defects detected, (2) the total number of invalid defects reported, and (3) the possibility of detecting more difficult defects. The findings show that testers who worked in collaborating pairs can be as effective in detecting defects as an individual worker; the differences between them are marginal. However, CST significantly affects the quality of test reports submitted in two dimensions: it helps reduce the number of invalid defects and also helps detect more difficult defects. The findings are promising and suggest that CST platforms can benefit from new mechanisms that allow for the formation of teams of two individuals who can participate in doing testing jobs.

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37

Patel, Charmy, and Dr Ravi Gulati. "Software Performance Testing Measures." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 8, no. 2 (2014): 1297–300. http://dx.doi.org/10.24297/ijmit.v8i2.681.

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Software developers typically measure a Web application's quality of service in terms of webpage availability, response time, and throughput. Performance testing and evaluation of software components becomes a critical task. Poor quality of software performance can lead to bad opportunities. Few research papers address the issues and systematic solutions to performance testing and measurement for modern components of software. This paper proposes a solution and environment to support performance measurement for software. The objective is to provide all kind of important measures which must be tested at the coding phase instead of after completion of software. So developers can make software that can meet performance objectives.

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38

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

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39

Engstrom, Emelie, x. Runeson, y. do Carmo Machado, z. de Almeida, xx de Lemos Meira, and yy Engström. "Testing Software Product Lines." IEEE Software 28, no. 5 (2011): 16–20. http://dx.doi.org/10.1109/ms.2011.90.

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40

Hamlet, Dick. "Foundations of software testing." ACM SIGSOFT Software Engineering Notes 19, no. 5 (1994): 128–39. http://dx.doi.org/10.1145/195274.195400.

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41

Hankinson, Tom. "Software Testing Goes Underground." Industrial Management & Data Systems 93, no. 4 (1993): 18–19. http://dx.doi.org/10.1108/02635579310037595.

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42

Nonnenmann, U., and J. K. Eddy. "Software testing with Kitss." IEEE Expert 8, no. 4 (1993): 25–30. http://dx.doi.org/10.1109/64.223987.

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43

Awotar, Mundita, and Roopesh Kevin Sungkur. "Optimization of Software Testing." Procedia Computer Science 132 (2018): 1804–14. http://dx.doi.org/10.1016/j.procs.2018.05.142.

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44

Heiser, John E. "Overview of software testing." Computer Standards & Interfaces 21, no. 2 (1999): 175. http://dx.doi.org/10.1016/s0920-5489(99)92211-0.

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45

Chaudouet-Miranda, A. "Software testing and evaluation." Advances in Engineering Software (1978) 12, no. 3 (1990): 151. http://dx.doi.org/10.1016/0141-1195(90)90032-2.

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46

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

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47

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

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48

Musa, J. D. "Software reliability-engineered testing." Computer 29, no. 11 (1996): 61–68. http://dx.doi.org/10.1109/2.544239.

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49

Lee, Jihyun, Sungwon Kang, and Changsup Keum. "Architecture-Based Software Testing." International Journal of Software Engineering and Knowledge Engineering 28, no. 01 (2018): 57–77. http://dx.doi.org/10.1142/s0218194018500031.

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It has been recognized by many researchers that the notion of test architecture should be utilized for software testing to cope with the task of testing complicated software, as it can support test architecture design and test case generation based on test architecture as well as efficient fault detection and error locating. However, in the current software testing theory and practice, the notion of test architecture and how it can be utilized for software testing are not well understood. To redress this situation, this paper provides foundational concepts and principles of architecture-based software testing to help utilize test architecture for software testing. Case study experiments are conducted to show how the concepts and principles of architecture-based software testing work and the effects that can be obtained by using architecture-based software testing.

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50

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

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