Abstract
In software engineering, debugging is a most tedious job. Finding and correcting the bug takes much more time and effort than coding. Many researchers have worked for making the debugging process easier. Many existing debugging techniques are available. Here, in this paper, we review various new emerging trends of software debugging techniques which is mostly used by the developers or testers for a particular application.
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References
B. Korel, J. Rilling, Application of dynamic slicing in program debugging, in Proceedings of the 3rd International Workshop on Automatic Debugging (AADEBUG-97), No. 1 (Linkping University Electronic Press, 1997)
W.H. Krebs, M.W. Lumsden, Software debugging tool for displaying dynamically written software code. U.S. Patent No. 6668369 (2003)
W.E. Wong, Y. Qi, Effective program debugging based on execution slices and inter-block data dependency. J. Syst. Softw., 79(7), 891–903 (2006)
P. Zhang, Fault localization based on dynamic slicing via JSlice for Java programs, in 5th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE (2014)
J. Singh, P.M. Khilar, D.P. Mohapatra, Dynamic slicing of distributed aspect-oriented programs: a context-sensitive approach. Comput. Stand. Interfaces 52, 71–84 (2017)
A. Treffer, M. Uflacker, The slice navigator: focused debugging with interactive dynamic slicing, in IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE (2016)
P. Fritzson, Generalized algorithmic debugging and testing. ACM Lett. Program. Lang. Syst. (LOPLAS) 1(4), 303–322 (1992)
I. David, J. Silva, An algorithmic debugger for Java, in IEEE International Conference on Software Maintenance (ICSM) (2010), pp. 1-6
J. Gonzlez, D. Insa, J. Silva, A new hybrid debugging architecture for eclipse, in LOPSTR (2013), pp. 183–201
G. Mariga, K. Mwiti, Automatic Debugging Approaches: A Literature Review (Murang’a University College, Muranga, Kenya, 2017)
J. Campos, A. Riboira, A. Perez, R. Abreu, Gzoltar: an eclipse plug-in for testing and debugging, in Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering (2012), pp. 378–381
T. Janssen, R. Abreu, A.J.C. Van Gemund, Zoltar: a spectrum-based fault localization tool, in Proceedings of the ESEC/FSE Workshop on Software Integration and Evolution (ACM, 2009), pp. 23–30
D. Hao, L. Lingming Zhang, J. Sun Zhang, H. Mei, VIDA: visual interactive debugging, in 31st International Conference on Software Engineering (ICSE). IEEE (2009), pp. 583–586
G. Pothier, E. Tanter, J. Piquer, Scalable omniscient debugging. ACM SIGPLAN Not. 42(10), 535–552 (2007)
C. Artho, Iterative delta debugging. Int. J. Softw. Tools Technol. Transf. 13(3), 223–246 (2011)
M. Burger, K. Lehmann, A. Zeller, Automated debugging in eclipse, in Companion to the 20th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (2005), pp. 184–185
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Ghosh, D., Singh, J. (2020). A Systematic Review on Program Debugging Techniques. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 767. Springer, Singapore. https://doi.org/10.1007/978-981-13-9680-9_16
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DOI: https://doi.org/10.1007/978-981-13-9680-9_16
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