Future of Software Testing: Novel Perspective, Challenges

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-55 Number-1
Year of Publication : 2018
Authors : Manas Kumar Yogi, G.Kumari, Himatej S R Y, Ch V S G Manikanta
  10.14445/22312803/IJCTT-V55P102

MLA

Manas Kumar Yogi, G.Kumari, Himatej S R Y, Ch V S G Manikanta "Future of Software Testing: Novel Perspective, Challenges". International Journal of Computer Trends and Technology (IJCTT) V55(1):4-6, January 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Software testing is part of the software development which ensures software functions in the intended way of the client. Software testing depends on how well we are practicing the principles of software testing currently. Formation of testing in Modern era is becoming popular day by day. Therefore, software testing engineers are trying to efficiently convert the manual test effort into automation test report. This challenge is difficult due to various factors which we are presenting in this paper. This paper is a novel afford to get software testing practitioners regarding path they follow to overcome the challenges of software testing. Our paper is a sincere advice to envision the future of software testing which is highly dependent on current software testing practices.

References
[1] B. Korel, “Automated software test data generation,” IEEE Transactions on Software Engineering, vol. 16, no. 8, pp. 870–879, 1990.
[2] “Dynamic method for software test data generation,” Software Testing, Verification and Reliability, vol. 2, no. 4, pp. 203–213, 1992.
[3] S. Xanthakis, C. Ellis, C. Skourlas, A. Le Gall, S. Katsikas, and K. Karapoulios, “Application of genetic algorithms to software testing (Application des algorithmes gen´ etiques ´ au test des logiciels),” in 5th International Conference on Software Engineering and its Applications, Toulouse, France, 1992, pp. 625–636.M. Wegmuller, J. P. von der Weid, P. Oberson, and N. Gisin, “High resolution fiber distributed measurements with coherent OFDR,” in Proc. ECOC’00, 2000, paper 11.3.4, p. 109.
[4] M. Harman, “The current state and future of search based software engineering,” in Future of Software Engineering 2007 (FOSE 2007). IEEE Computer Society, 2007, pp. 342– 357.
[5] M. Harman and J. Clark, “Metrics are fitness functions too,” in International Software Metrics Symposium (METRICS 2004). IEEE Computer Society, 2004, pp. 58–69.
[6] J. Wegener and F. Mueller, “A comparison of static analysis and evolutionary testing for the verification of timing constraints,” Real-Time Systems, vol. 21, no. 3, pp. 241–268, 2001.
[7] J. Wegener, A. Baresel, and H. Sthamer, “Evolutionary test environment for automatic structural testing,” Information and Software Technology, vol. 43, no. 14, pp. 841–854, 2001.
[8] N. Tracey, J. Clark, K. Mander, and J. McDermid, “An automated framework for structural test-data generation,” in Proceedings of the International Conference on Automated Software Engineering. Hawaii, USA: IEEE Computer Society Press, 1998, pp. 285–288.

Keywords
testing, risk, automation, exploratory.