Abstract
Automated white-box testing is a major issue in software engineering. Over the years, several tools have been proposed for supporting distinct parts of the testing process. Yet, these tools are mostly separated and most of them support only a fixed and restricted subset of testing criteria. We describe in this paper Frama-C/LTest, a generic and integrated toolkit for automated white-box testing of C programs. LTest provides a unified support of many different testing criteria as well as an easy integration of new criteria. Moreover, it is designed around three basic services (test coverage estimation, automatic test generation, detection of uncoverable objectives) covering most major aspects of white-box testing and taking benefit from a combination of static and dynamic analyses. Services can cooperate through a shared coverage database. Preliminary experiments demonstrate the possibilities and advantages of such cooperations.
Work partially funded by EU FP7 (project STANCE, grant 317753) and French ANR (project BINSEC, grant ANR-12-INSE-0002).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ammann, P., Offutt, A.J.: Introduction to software testing. Cambridge University Press (2008)
Bardin, S., Kosmatov, N., Cheynier, F.: Efficient Leveraging of Symbolic Execution to Advanced Coverage Criteria. In: ICST 2014. IEEE, Los Alamitos (2014)
Chebaro, O., Kosmatov, N., Giorgetti, A., Julliand, J.: Program slicing enhances a verification technique combining static and dynamic analysis. In: SAC 2012. ACM, New York (2012)
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)
Christakis, M., Müller, P., Wüstholz, V.: Collaborative verification and testing with explicit assumptions. In: Giannakopoulou, D., Méry, D. (eds.) FM 2012. LNCS, vol. 7436, pp. 132–146. Springer, Heidelberg (2012)
Correnson, L., Signoles, J.: Combining Analyses for C Program Verification. In: Stoelinga, M., Pinger, R. (eds.) FMICS 2012. LNCS, vol. 7437, pp. 108–130. Springer, Heidelberg (2012)
Godefroid, P., Klarlund, N., Sen, K.: DART: Directed Automated Random Testing. In: PLDI 2005. ACM, New York (2005)
Godefroid, P., Levin, M.Y., Molnar, D.: Automated Whitebox Fuzz Testing. In: NDSS 2008 (2008)
Jamrozik, K., Fraser, G., Tillman, N., de Halleux, J.: Generating Test Suites with Augmented Dynamic Symbolic Execution. In: Veanes, M., Viganò, L. (eds.) TAP 2013. LNCS, vol. 7942, pp. 152–167. Springer, Heidelberg (2013)
Petiot, G., Kosmatov, N., Giorgetti, A., Julliand, J.: How Test Generation Helps Software Specification and Deductive Verification in Frama-C. In: Seidl, M., Tillmann, N. (eds.) TAP 2014. LNCS, vol. 8570, pp. 204–211. Springer, Heidelberg (2014)
Williams, N., Marre, B., Mouy, P.: On-the-Fly Generation of K-Path Tests for C Functions. In: ASE 2004. IEEE, Los Alamitos (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Bardin, S., Chebaro, O., Delahaye, M., Kosmatov, N. (2014). An All-in-One Toolkit for Automated White-Box Testing. In: Seidl, M., Tillmann, N. (eds) Tests and Proofs. TAP 2014. Lecture Notes in Computer Science, vol 8570. Springer, Cham. https://doi.org/10.1007/978-3-319-09099-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-09099-3_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09098-6
Online ISBN: 978-3-319-09099-3
eBook Packages: Computer ScienceComputer Science (R0)