Recent trends on data flow testing : A review
Ankitaankita@igdtuw.ac.inDepartment of Information TechnologyIndira Gandhi Delhi Technical University for WomenDelhi, 110006, IndiaView full profile → , Preeti Ratheepreetirathee09@gmail.comDepartment of Information TechnologyMaharaja Surajmal Institute of TechnologyJanakpuri, New Delhi, 110058, IndiaView full profile → , *Nisha RatheeCorresponding authornisharathee@igdtuw.ac.inDepartment of Information TechnologyIndira Gandhi Delhi Technical University for WomenDelhi, 110006, IndiaView full profile → , Pooja Gerapooja005btit19@igdtuw.ac.inDepartment of Information TechnologyIndira Gandhi Delhi Technical University for WomenDelhi, 110006, IndiaView full profile → , Abhigya Vermaabhigya006btit19@igdtuw.ac.inDepartment of Information TechnologyIndira Gandhi Delhi Technical University for WomenDelhi, 110006, IndiaView full profile → , Nishtha Goyalnishtha025btit19@igdtuw.ac.inDepartment of Information TechnologyIndira Gandhi Delhi Technical University for WomenDelhi, 110006, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 08 Jun 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1702
- Pages:
- 1189–1197
Abstract
Keywords
Subject Classifications
References
[1] Ntafos, S.C.: A comparison of some structural testing strategies. IEEE Transactions on Software Engineering 14(6), 868–874 (1988).
[2] Vivanti, M.: Dynamic data-flow testing. In: Companion Proceedings of the 36th International Conference on Software Engineering, pp. 682–685 (2014).
[3] Limaye, S., Zhang, Y.: Combining algorithm-based data flow testing approach for xacml. In: Proceedings of the Third ACM Workshop on Attribute-Based Access Control, pp. 25–31 (2018).
[4] Wedyan, F., Ghosh, S., Vijayasarathy, L.R.: An approach and tool for measurement of state variable based data-flow test coverage for aspect- oriented programs. Information and Software Technology 59, 233–254 (2015).
[5] Souza, P.S., Souza, S.S., Rocha, M.G., Prado, R.R., Batista, R.N.: Data flow testing in concurrent programs with message passing and shared memory paradigms. Procedia Computer Science 18, 149–158 (2013)
[6] Singla, S., Kumar, R., Kumar, D.: Natural computing for automatic test data generation approach using spanning tree concepts. Procedia Computer Science 85, 929–939 (2016).
[7] Rathee, Nisha, and Rajender Singh Chhillar. “Gravitational search algorithm: A novel approach for structural test path optimization.” Journal of Interdisciplinary Mathematics 23.2 : 471-480 (2020).
[8] Hellhake, D., Schmid, T., Wagner, S.: Using data flow-based coverage
criteria for black-box integration testing of distributed software sys-
tems. In: 2019 12th Ieee Conference on Software Testing, Validation and
Verification (icst), pp. 420–429. IEEE (2019).
[9] Singh, Vijander, et al. “Prediction of COVID-19 corona virus pandemic based on time series data using Support Vector Machine.” Journal of Discrete Mathematical Sciences and Cryptography 23.8 : 1583-1597 (2020).
[10] Ji, S., Chen, Q., Zhang, P.: Neural network-based test case generation for data-flow oriented testing. In: 2019 IEEE International Conference On Artificial Intelligence Testing (AITest), pp. 35–36. IEEE (2019).
[11] Zhang, Y.-P., Zhang, B.-B., Wang, Z.-W.: Research of a data flow test method for attribute-based access control systems. In: 2017 International Conference on Network and Information Systems for Computers (ICNISC), pp. 167–171. IEEE (2017).
[12] Bhatnagar, Vaibhav, et al. “Descriptive analysis of COVID-19 patients in the context of India.” Journal of Interdisciplinary Mathematics 24.3 : 489-504 (2021).
[13] Wu, Y.-C., Fan, C.-F.: Automatic test case generation for structural testing of function block diagrams. Information and Software Technology 56(10), 1360–1376 (2014).
[14] Chaim, M.L., De Araujo, R.P.A.: An efficient bitwise algorithm for intra- procedural data-flow testing coverage. Information Processing Letters 113(8), 293–300 (2013).




