Abstract
Even competent programmers make mistakes. Automatic verification can detect errors, but leaves the frustrating task of finding the erroneous line of code to the user. This paper presents an automatic approach for identifying potential error locations in software. It is based on a deductive verification engine, which detects errors in functions annotated with pre- and post-conditions. Using an automatic theorem prover, our approach finds expressions in the code that can be modified such that the program satisfies its specification. Scalability is achieved by analyzing each function in isolation. We have implemented our approach in the widely used Frama-C framework and present first experimental results.
This work was supported by the European Commission through project STANCE (31775) and the Austrian Science Fund (FWF) through project RiSE (S11406-N23).
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References
Bloem, R., Drechsler, R., Fey, G., Finder, A., Hofferek, G., Könighofer, R., Raik, J., Repinski, U., Sülflow, A.: foREnSiC– an automatic debugging environment for C programs. In: Biere, A., Nahir, A., Vos, T. (eds.) HVC 2012. LNCS, vol. 7857, pp. 260–265. Springer, Heidelberg (2013)
Cuoq, P., Kirchner, F., Kosmatov, N., Prevosto, V., Signoles, J., Yakobowski, B.: Frama-C - A software analysis perspective. In: Eleftherakis, G., Hinchey, M., Holcombe, M. (eds.) SEFM 2012. LNCS, vol. 7504, pp. 233–247. Springer, Heidelberg (2012)
Debroy, V., Wong, W.E.: Using mutation to automatically suggest fixes for faulty programs. In: ICST 2010. IEEE (2010)
Griesmayer, A., Staber, S., Bloem, R.: Automated fault localization for C programs. Electr. Notes Theor. Comput. Sci. 174(4), 95–111 (2007)
Jones, J.A., Harrold, M.J.: Empirical evaluation of the tarantula automatic fault-localization technique. In: ASE 2005. ACM (2005)
Jose, M., Majumdar, R.: Cause clue clauses: error localization using maximum satisfiability. In: PLDI 2011, pp. 437–446. ACM (2011)
Könighofer, R., Bloem, R.: Automated error localization and correction for imperative programs. In: FMCAD 2011, IEEE (2011)
Könighofer, R., Toegl, R., Bloem, R.: Automatic error localization for software using deductive verification. CoRR, abs/1409.4637 (2014)
Larus, J.R., Ball, T., Das, M., DeLine, R., Fähndrich, M., Pincus, J.D., Rajamani, S.K., Venkatapathy, R.: Righting software. IEEE Softw. 21(3), 92–100 (2004)
Reiter, R.: A theory of diagnosis from first principles. Art. Int. 32(1), 57–95 (1987)
Siemens benchmark suite, http://pleuma.cc.gatech.edu/aristotle/Tools/subjects
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Könighofer, R., Toegl, R., Bloem, R. (2014). Automatic Error Localization for Software Using Deductive Verification. In: Yahav, E. (eds) Hardware and Software: Verification and Testing. HVC 2014. Lecture Notes in Computer Science, vol 8855. Springer, Cham. https://doi.org/10.1007/978-3-319-13338-6_8
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DOI: https://doi.org/10.1007/978-3-319-13338-6_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13337-9
Online ISBN: 978-3-319-13338-6
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