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Fuzzing is one of the fastest growing fields in software testing.
1911
Earlier work this paper cites.
M. D. Davis and E. J. Weyuker, “Pseudo-oracles for non-testable programs,” in ACM Conference , 1981, pp. 254–257
1981
Earlier work this paper cites.
E. J. Weyuker, “On testing non-testable programs,” The Computer Journal , vol. 25, no. 4, pp. 465–470, 1982
1982
Earlier work this paper cites.
W. E. Howden, “Weak mutation testing and completeness of test sets,” IEEE TSE , no. 4, pp. 371–379, 1982
1982
Earlier work this paper cites.
B. P. Miller, L. Fredriksen, and B. So, “An empirical study of the reliability of unix utilities,” Communications of the ACM , vol. 33, no. 12, pp. 32–44, 1990
1990
Earlier work this paper cites.
A. J. Offutt and S. D. Lee, “How strong is weak mutation?” in ICST , 1991, pp. 200–213
1991
Earlier work this paper cites.
E. W. Krauser, A. P. Mathur, and V. J. Rego, “High performance software testing on simd machines,” IEEE TSE , vol. 17, no. 5, 1991
1991
Earlier work this paper cites.
A. J. Offutt, “Investigations of the software testing coupling effect,” ACM TOSEM , vol. 1, no. 1, pp. 5–20, 1992
1992
Earlier work this paper cites.
A. J. Offutt, R. P. Pargas, S. V. Fichter, and P. K. Khambekar, “Mutation testing of software using mimd computer.” in ICPP , 1992
1992
Earlier work this paper cites.
R. H. Untch, A. J. Offutt, and M. J. Harrold, “Mutation analysis using mutant schemata,” in ISSTA , 1993, pp. 139–148
1993
Earlier work this paper cites.
A. J. Offutt, G. Rothermel, and C. Zapf, “An experimental evaluation of selective mutation,” in ICSE . IEEE, 1993, pp. 100–107
1993
Earlier work this paper cites.
V. N. Fleyshgakker and S. N. Weiss, “Efficient mutation analysis: A new approach,” in ISSTA , 1994
1994
Earlier work this paper cites.
——, “An empirical evaluation of weak mutation,” IEEE TSE , vol. 20, no. 5, pp. 337–344, 1994
1994
Earlier work this paper cites.
Y. K. Malaiya, “Antirandom testing: Getting the most out of black-box testing,” in ISSRE . IEEE, 1995, pp. 86–95
1995
Earlier work this paper cites.
W. M. McKeeman, “Differential testing for software,” Digital Technical Journal , vol. 10, no. 1, pp. 100–107, 1998
1998
Earlier work this paper cites.
K. H. T. Wah, “A theoretical study of fault coupling,” Software testing, verification and reliability , vol. 10, no. 1, pp. 3–45, 2000
2000
Earlier work this paper cites.
——, “Theoretical insights into the coupling effect,” in Mutation testing for the new century . USA: Springer, 2001, pp. 62–70
2001
Earlier work this paper cites.
——, “An analysis of the coupling effect i: single test data,” Science of Computer Programming , vol. 48, no. 2-3, pp. 119–161, 2003
2003
Earlier work this paper cites.
Z. Q. Zhou, D. Huang, T. Tse, Z. Yang, H. Huang, and T. Chen, “Metamorphic testing and its applications,” in ISFST 2004 . Software Engineers Association Xian, China, 2004, pp. 346–351
2004
Earlier work this paper cites.
D. R. Kuhn, D. R. Wallace, and A. M. Gallo, “Software fault interactions and implications for software testing,” IEEE transactions on software engineering , vol. 30, no. 6, pp. 418–421, 2004
2004
Earlier work this paper cites.
S. Lu, Z. Li, F. Qin, L. Tan, P. Zhou, and Y. Zhou, “Bugbench: Benchmarks for evaluating bug detection tools,” in Workshop on the evaluation of software defect detection tools , 2005
2005
Earlier work this paper cites.
J. H. Andrews, L. C. Briand, and Y. Labiche, “Is mutation an appropriate tool for testing experiments?” in ICSE , 2005, pp. 402–411
2005
Earlier work this paper cites.
J. H. Andrews, L. C. Briand, Y. Labiche, and A. S. Namin, “Using mutation analysis for assessing and comparing testing coverage criteria,” IEEE TSE , vol. 32, no. 8, pp. 608–624, 2006
2006
Earlier work this paper cites.
S. Neuhaus, T. Zimmermann, C. Holler, and A. Zeller, “Predicting vulnerable software components,” in Proceedings of the 14th ACM conference on Computer and communications security , 2007, pp. 529–540
2007
Earlier work this paper cites.
R. B. Evans and A. Savoia, “Differential testing: a new approach to change detection,” in ESEC/FSE , 2007, pp. 549–552
2007
Earlier work this paper cites.
M. D. Ernst, J. H. Perkins, P. J. Guo, S. McCamant, C. Pacheco, M. S. Tschantz, and C. Xiao, “The daikon system for dynamic detection of likely invariants,” Science of computer programming , vol. 69, 2007
2007
Earlier work this paper cites.
C. Pacheco and M. D. Ernst, “Randoop: feedback-directed random testing for java,” in ACM SIGPLAN conference on Object-oriented programming systems and applications companion , 2007, pp. 815–816
2007
Earlier work this paper cites.
Y. Jia and M. Harman, “Constructing subtle faults using higher order mutation testing,” in 2008 Eighth IEEE International Working Conference on Source Code Analysis and Manipulation , IEEE. USA: IEEE, 2008, pp. 249–258
2008
Earlier work this paper cites.
D. Schuler and A. Zeller, “Javalanche: Efficient mutation testing for java,” in ESEC/FSE , 2009, pp. 297–298
2009
Earlier work this paper cites.
B. J. Grün, D. Schuler, and A. Zeller, “The impact of equivalent mutants,” in ICSTW . IEEE, 2009, pp. 192–199
2009
Earlier work this paper cites.
M. Harman, Y. Jia, and W. B. Langdon, “A manifesto for higher order mutation testing,” in ICSTW . IEEE, 2010, pp. 80–89
2010
Earlier work this paper cites.
Y. Jia and M. Harman, “An analysis and survey of the development of mutation testing,” IEEE TSE , vol. 37, no. 5, pp. 649–678, 2010
2010
Earlier work this paper cites.
K. Claessen and J. Hughes, “Quickcheck: a lightweight tool for random testing of haskell programs,” ACM SIGPLAN Notices , vol. 46, no. 4, pp. 53–64, 2011
2011
Earlier work this paper cites.
G. Fraser and A. Arcuri, “Evosuite: automatic test suite generation for object-oriented software,” in ESEC/FSE , 2011, pp. 416–419
2011
Earlier work this paper cites.
T. Tao, An introduction to measure theory . American Mathematical Society Providence, RI, 2011, vol. 126
2011
Earlier work this paper cites.
R. Just, G. M. Kapfhammer, and F. Schweiggert, “Using conditional mutation to increase the efficiency of mutation analysis,” in International Workshop on Automation of Software Test , 2011, pp. 50–56
2011
Earlier work this paper cites.
P. Godefroid, M. Y. Levin, and D. Molnar, “Sage: Whitebox fuzzing for security testing: Sage has had a remarkable impact at microsoft.” Queue , vol. 10, no. 1, pp. 20–27, 2012
2012
Earlier work this paper cites.
2012
Cited alongside, same era.
P. R. Mateo and M. P. Usaola, “Mutant execution cost reduction: Through music (mutant schema improved with extra code),” in IEEE ICST . IEEE, 2012, pp. 664–672
2012
Cited alongside, same era.
V. H. Durelli, J. Offutt, and M. E. Delamaro, “Toward harnessing high-level language virtual machines for further speeding up weak mutation testing,” in ICST . IEEE, 2012
2012
Cited alongside, same era.
L. Zhang, D. Marinov, and S. Khurshid, “Faster mutation testing inspired by test prioritization and reduction,” in ISSTA , 2013
2013
Cited alongside, same era.
D. Schuler and A. Zeller, “Checked coverage: an indicator for oracle quality,” STVR , vol. 23, no. 7, 2013
M. Papadakis, D. Shin, S. Yoo, and D.-H. Bae, “Are mutation scores correlated with real fault detection? a large scale empirical study on the relationship between mutants and real faults,” in IEEE/ACM ICSE , 2018, pp. 537–548
2018
Later among the works it cites.
L. Chen and L. Zhang, “Speeding up mutation testing via regression test selection: An extensive study,” in IEEE ICST . IEEE, 2018
2018
Later among the works it cites.
R. Gopinath, B. Mathis, and A. Zeller, “If you can’t kill a supermutant, you have a problem,” in ICSTW , IEEE. USA: IEEE, 2018, pp. 18–24
2018
Later among the works it cites.
V. J. M. Manès, H. Han, C. Han, S. K. Cha, M. Egele, E. J. Schwartz, and M. Woo, “The art, science, and engineering of fuzzing: A survey,” IEEE TSE , 2019
2019
Later among the works it cites.
D. Babić, S. Bucur, Y. Chen, F. Ivančić, T. King, M. Kusano, C. Lemieux, L. Szekeres, and W. Wang, “Fudge: fuzz driver generation at scale,” in ESEC/FSE , 2019, pp. 975–985
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2013
Cited alongside, same era.
R. Gopinath, C. Jensen, and A. Groce, “Mutations: How close are they to real faults?” in ISSRE , Nov 2014, pp. 189–200
2014
Cited alongside, same era.
E. T. Barr, M. Harman, P. McMinn, M. Shahbaz, and S. Yoo, “The oracle problem in software testing: A survey,” IEEE TSE , vol. 41, 2014
2014
Cited alongside, same era.
A. Carzaniga, A. Goffi, A. Gorla, A. Mattavelli, and M. Pezzè, “Cross-checking oracles from intrinsic software redundancy,” in ICSE , 2014
2014
Cited alongside, same era.
R. Just, D. Jalali, L. Inozemtseva, M. D. Ernst, R. Holmes, and G. Fraser, “Are mutants a valid substitute for real faults in software testing?” in ESEC/FSE , 2014, pp. 654–665
2014
Cited alongside, same era.
R. Just, M. D. Ernst, and G. Fraser, “Efficient mutation analysis by propagating and partitioning infected execution states,” in ISSTA , 2014
2014
Cited alongside, same era.
X. Yao, M. Harman, and Y. Jia, “A study of equivalent and stubborn mutation operators using human analysis of equivalence,” in 36th International Conference on Software Engineering , ser. ICSE 2014. New York, NY, USA: ACM, 2014, pp. 919–930. [Online]. Available: http://doi.acm.org/10.1145/2568225.2568265
2014
Cited alongside, same era.
N. Lee, “Darpa’s cyber grand challenge (2014–2016),” in Counterterrorism and Cybersecurity . Springer, 2015, pp. 429–456
2015
Cited alongside, same era.
2019
Later among the works it cites.
T. Tan, B. Wang, H. Zhang, G. Chen, J. Wang, Y. Tang, and X. Zhou, “A new quantitative evaluation method for fuzzing,” in International Conference on Artificial Intelligence and Security . Springer, 2019
2019
Later among the works it cites.
M. Zalewski, “American fuzzy lop (2.52 b),” https://afl-1.readthedocs.io/en/latest/fuzzing.html , 2019
2019
Later among the works it cites.
V.-T. Pham, M. Böhme, A. E. Santosa, A. R. Caciulescu, and A. Roychoudhury, “Smart greybox fuzzing,” IEEE TSE , 2019
2019
Later among the works it cites.
D. Song, J. Lettner, P. Rajasekaran, Y. Na, S. Volckaert, P. Larsen, and M. Franz, “Sok: sanitizing for security,” in 2019 IEEE Symposium on Security and Privacy (SP) . IEEE, 2019, pp. 1275–1295
2019
Later among the works it cites.
M. Böhme, “Assurances in software testing: A roadmap,” in ICSE-NIER . IEEE, 2019, pp. 5–8
2019
Later among the works it cites.
M. Papadakis, M. Kintis, J. Zhang, Y. Jia, Y. Le Traon, and M. Harman, “Mutation testing advances: an analysis and survey,” in Advances in Computers . Elsevier, 2019, vol. 112, pp. 275–378
2019
Later among the works it cites.
A. V. Pizzoleto, F. C. Ferrari, J. Offutt, L. Fernandes, and M. Ribeiro, “A systematic literature review of techniques and metrics to reduce the cost of mutation testing,” JSS , vol. 157, p. 110388, 2019
2019
Later among the works it cites.
K. Ispoglou, D. Austin, V. Mohan, and M. Payer, “Fuzzgen: Automatic fuzzer generation,” in USENIX Security Symposium) , 2020
2020
Later among the works it cites.
P. Godefroid, “Fuzzing: Hack, art, and science,” CACM , vol. 63, no. 2, pp. 70–76, 2020
2020
Later among the works it cites.
“Microsoft announces new Project OneFuzz framework, an open source developer tool to find and fix bugs at scale - Microsoft Security Blog,” Nov 2021, [Online; accessed 15. Jan. 2022]. [Online]. Available: https://www.microsoft.com/security/blog/2020/09/15/microsoft-onefuzz-framework-open-source-developer-tool-fix-bugs
2020
Later among the works it cites.
M. Böhme and B. Falk, “Fuzzing: On the exponential cost of vulnerability discovery,” in ESEC/FSE . ACM, 2020
2020
Later among the works it cites.
A. Hazimeh, A. Herrera, and M. Payer, “Magma: A ground-truth fuzzing benchmark,” ACM on Measurement and Analysis of Computing Systems , vol. 4, no. 3, pp. 1–29, 2020
2020
Later among the works it cites.
Y. Chen, R. Gopinath, A. Tadakamalla, M. D. Ernst, R. Holmes, G. Fraser, P. Ammann, and R. Just, “Revisiting the relationship between fault detection, test adequacy criteria, and test set size,” in IEEE/ACM ASE . IEEE, 2020
2020
Later among the works it cites.
M. Gavrilov, K. Dewey, A. Groce, D. Zamanzadeh, and B. Hardekopf, “A practical, principled measure of fuzzer appeal: A preliminary study,” in International Conference on Software Quality, Reliability and Security , 2020, pp. 510–517
2020
Later among the works it cites.
Y. Jeon, W. Han, N. Burow, and M. Payer, “Fuzzan: Efficient sanitizer metadata design for fuzzing,” in USENIX Annual Technical Conference . USENIX Association, Jul. 2020, pp. 249–263
2020
Later among the works it cites.
A. Parsai and S. Demeyer, Mutant Density: A Measure of Fault-Sensitive Complexity . New York, NY, USA: Association for Computing Machinery, 2020, p. 742–745
2020
Later among the works it cites.
G. Mocanu, C. Carabaş, and N. Ţăpuş, “Fuzz testing in aws firecracker hypervisor,” in ISPDC . IEEE, 2021, pp. 130–137
2021
Later among the works it cites.
2021
Later among the works it cites.
M. Boehme, C. Cadar, and A. Roychoudhury, “Fuzzing: Challenges and reflections.” IEEE Software , vol. 38, no. 3, pp. 79–86, 2021
2021
Later among the works it cites.
J. Metzman, L. Szekeres, L. Simon, R. Sprabery, and A. Arya, “Fuzzbench: an open fuzzer benchmarking platform and service,” in ESEC/FSE . USA: ACM, 2021, pp. 1393–1403
2021
Later among the works it cites.
Y. Li, S. Ji, Y. Chen, S. Liang, W.-H. Lee, Y. Chen, C. Lyu, C. Wu, R. Beyah, P. Cheng et al. , “UNIFUZZ: A holistic and pragmatic metrics-driven platform for evaluating fuzzers,” in USENIX Security Symposium , 2021
2021
Later among the works it cites.
J. Bundt, A. Fasano, B. Dolan-Gavitt, W. Robertson, and T. Leek, “Evaluating synthetic bugs,” in ACM CCS , 2021, pp. 716–730
2021
Later among the works it cites.
D. Paaßen, S. Surminski, M. Rodler, and L. Davi, “My fuzzer beats them all! developing a framework for fair evaluation and comparison of fuzzers,” in European Symposium on Research in Computer Security . Springer, 2021, pp. 173–193
2021
Later among the works it cites.
M. Wang, J. Liang, C. Zhou, Y. Chen, Z. Wu, and Y. Jiang, “Industrial oriented evaluation of fuzzing techniques,” in IEEE ICST , 2021
2021
Later among the works it cites.
P. Srivastava and M. Payer, “Gramatron: Effective grammar-aware fuzzing,” in ISSTA , ser. ISSTA 2021. New York, NY, USA: Association for Computing Machinery, 2021, p. 244–256
2021
Later among the works it cites.
C. Courbet, “Nsan: A floating-point numerical sanitizer,” in 30th ACM SIGPLAN International Conference on Compiler Construction , ser. CC 2021. New York, NY, USA: Association for Computing Machinery, 2021, p. 83–93. [Online]. Available: https://doi.org/10.1145/3446804.3446848
2021
Later among the works it cites.
G. Petrović, M. Ivanković, G. Fraser, and R. Just, “Does mutation testing improve testing practices?” in ICSE . IEEE, 2021, pp. 910–921
2021
Later among the works it cites.
A. Groce, I. Ahmed, J. Feist, G. Grieco, J. Gesi, M. Meidani, and Q. H. Chen, “Evaluating and improving static analysis tools via differential mutation analysis,” in QRS , 2021
2021
Later among the works it cites.
A. Ghanbari and A. Marcus, “Toward speeding up mutation analysis by memoizing expensive methods,” in ICSE-NIER . IEEE, 2021
2021
Later among the works it cites.
P. Marinescu, “Autonomous testing of services at scale,” https://engineering.fb.com/2021/10/20/developer-tools/autonomous-testing/ , 2022
2022
Closest in time.
“Fuzzing – Firefox Source Docs documentation,” https://firefox-source-docs.mozilla.org/tools/fuzzing/index.html , Jan 2022, [Online; accessed 20. Jan. 2022]
2022
Closest in time.
A. Groce, K. Jain, R. van Tonder, G. Tulajappa, and C. L. Goues, “Looking for lacunae in bitcoin core’s fuzzing efforts,” in International Conference on Software Engineering , 2022, accepted for publication
2022
Closest in time.