Rothermel, G., Harrold, M.J.: A Safe, Efficient Regression Test Selection Technique. ACM Trans. Softw. Eng. Methodol. 2(6), 173–210 (1997)
Zhang., L.: Hybrid regression test selection. In: IEEE/ACM 40th International Conference on Software Engineering (ICSE), pp. 199–209 (2018)
Shi, A., Hadzo-Tanovic, M., Zhang, L., Marinov, D., Legunsen, O.: Reflection-aware static regression test selection. In: Proc. ACM Program. Lang. 3, OOPSLA, Article 187, p. 29 (2019)
Zhong, H., Zhang, L., Khurshid, S.: TestSage: regression test selection for large-scale web service testing. In: 12th IEEE Conference on Software Testing, Validation and Verification (ICST) (2019)
Sawant, A.A., Bari, P.H., Chawan, P.M.: Software testing techniques and strategies. Int. J. Eng. Res. Appl. 2(3), 980–986 (2012)
Sakamoto, K., Tomohiro, K., Hamura, D., Washizaki, H., Fukazawa, Y.: POGen: a test code generator based on template variable coverage in gray-box integration testing for web applications. In: International Conference on Fundamental Approaches to Software Engineering, pp. 343–358. Springer, Berlin (2013)
Khan, I.A., Singh, R.: Quality assurance and integration testing aspects in web based applications (2012). arXiv:1207.3213
Elbaum, S., Rothermel, G., Penix, J.: Techniques for improving regression testing in continuous integration development environments. In: FSE 2014: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, pp 235–245 (2014)
Celik, A., Lee, Y.C., Gligoric, M.: Regression test selection for TizenRT. In: Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), pp. 845–850. Association for Computing Machinery, New York
Gligoric, M., Eloussi, L., Marinov, D.: Practical regression test selection with dynamic file dependencies. In: ISSTA 2015: Proceedings of the 2015 International Symposium on Software Testing and Analysis, pp. 211–222 (2015)
Stack Overflow Developer Survey.: (2021). https://insights.stackoverflow.com/survey/2021/
Kauhanen, E., Nurminen, J.K., Mikkonen, T., Pashkovskiy, M.: Regression test selection tool for python in continuous integration process. In: 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 618–621 (2021)
Jest: Delightful JavaScript Testing. https://jestjs.io/
Gligoric, M.: Regression Test Selection: Theory and Practice. University of Illinois at Urbana-Champaign (2015)
Blondeau, V., Etien, A., Anquetil, N., Cresson, S., Croisy, P., Ducasse, S.: What are the testing habits of developers? A case study in a large IT company. In: 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 58–68 (2017)
Gligoric, M., Negara, S., Legunsen, O., Marinov, D.: An empirical evaluation and comparison of manual and automated test selection. In: Proceedings of the 29th ACM/IEEE international conference on Automated software engineering, pp. 361–72 (2014)
Zhang, L., Kim, M., Khurshid, S.: Localizing failure-inducing program edits based on spectrum information. In: 2011 27th IEEE International Conference on Software Maintenance (ICSM), pp. 23–32 (2011)
Ren, X., Shah, F., Top, F., Ryder, B.G., Chianti, C.O.: A tool for change impact analysis of java programs. In: OOPSLA ’04: Proceedings of the 19th annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications, pp. 432–448 (2004)
Chen, Y.F., Rosenblum, D.S., Vo, K.P.: TestTube: a system for selective regression testing. In: Proceedings of 16th International Conference on Software Engineering, pp. 211–220 (1994)
Chen, Y.: NodeSRT: a selective regression testing tool for Node.js application. In: 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), pp. 126–128. IEEE (2021)
Legunsen, O., Hariri, F., Shi, A., Lu, Y., Zhang, L., Marinov, D.: An Extensive Study of Static Regression Test Selection in Modern Software Evolution. Association for Computing Machinery (2016)
Gligoric, M., Eloussi, L., Marinov, D.: Ekstazi: lightweight test selection. In: 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, pp. 713–716 (2015)
Vasic, M., Parvez, Z., Milicevic, A., Gligoric, M.: File-level vs. module-level regression test selection for .NET. In: ESEC/FSE 2017: Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, pp. 848–853 (2017)
Shi, A., Zhao, P., Marinov, D.: Understanding and improving regression test selection in continuous integration. In: 2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE), pp. 228–238 (2019)
Rosenblum, D.S., Rothermel, G.: A comparative study of regression test selection techniques. In: Proceedings of the IEEE Computer Society 2nd International Workshop on Empirical Studies of Software Maintenance (1997)
Legunsen, O., Shi, A., Marinov, D.: STARTS: STAtic regression test selection. In: 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 949–954 (2017)
Zheng, J., Williams, L., Pallino, R.B.: Automation to support regression test selection for COTS-based applications. In: Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (ASE ’07), pp. 224–233. Association for Computing Machinery, New York (2006)
Bible, J., Rothermel, G., Rosenblum, D.S.: A comparative study of coarse- and fine-grained safe regression test selection techniques. ACM Trans. Softw. Eng. Methodol. (2001)
Hirzel, M., Klaeren, H.: Graph-walk-based selective regression testing of web applications created with google web toolkit
Raulji, J.K., Jatinderkumar, R.S.: Stop-word removal algorithm and its implementation for Sanskrit Language. Int. J. Comput. Appl. (0975-8887) 150(2), 15–17 (2016)
Białecki, A., Muir, R., Ingersoll, G., Imagination, L.: Apache Lucene 4. In: InSIGIR 2012 Workshop on Open Source Information Retrieval, p. 17 (2012)
The Apache Lucene.: https://lucene.apache.org/
Thisted, R.A.: Elements of Statistical Computing: Numerical Computation. Routledge, New York (1988)
Erşahin, M., Utku, S., Kılınç, D., Erşahin, B.: Information retrieval-based bug localization approach with adaptive attribute weighting
Erşahin, B., Aktaş, O., Kılınç, D., Erşahin, M.: A hybrid sentiment analysis method for Turkish. Turk. J. Electr. Eng. Comput. Sci. 27(3), 1780–1793 (2019). https://doi.org/10.3906/elk-1808-189