Abstract
For the last few decades, automated software analysis techniques such as software model checking and concolic testing have advanced in a large degree. However, such techniques are not frequently applied to industrial software due to steep learning curve and hidden costs to apply these techniques to industrial software in practice. Therefore, to enable technology transfer to industry, it is essential to conduct concrete case studies applying automated techniques to real-world industrial software. These studies can serve as references for field engineers who want to improve quality of software by adopting automated analysis techniques. Furthermore, concrete applications of such techniques can guide new research goals and directions to solve practical limitations observed in the studies. In this paper, we describe our experience of applying various automated software analysis techniques to industrial embedded software such as flash memory storage platform and smartphone platform.
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References
Beyer, D., Henzinger, T., Jhala, R., Majumdar, R.: The software model checker Blast: Applications to software engineering. In: Software Tools for Technology Transfer (2007)
Burnim, J.: CREST - automatic test generation tool for C, http://code.google.com/p/crest/
Cimatti, A., Clarke, E., Giunchiglia, E., Giunchiglia, F., Pistore, M., Roveri, M., Sebastiani, R., Tacchella, A.: NuSMV 2: An opensource tool for symbolic model checking. In: Brinksma, E., Larsen, K.G. (eds.) CAV 2002. LNCS, vol. 2404, pp. 359–364. Springer, Heidelberg (2002)
Clarke, E., Kröning, D., Lerda, F.: A tool for checking ANSI-C programs. In: Jensen, K., Podelski, A. (eds.) TACAS 2004. LNCS, vol. 2988, pp. 168–176. Springer, Heidelberg (2004)
Clarke, E., Grumberg, O., Peled, D.A.: Model Checking. MIT Press, Cambridge (2000)
Godefroid, P., Klarlund, N., Sen, K.: DART: Directed automated random testing. In: Programming Language Design and Implementation (2005)
Holzmann, G.: The Spin Model Checker. Wiley, New York (2003)
Jhala, R., Majumdar, R.: Software model checking. ACM Computing Surveys 41(4), 21–74 (2009)
Kim, M., Choi, Y., Kim, Y., Kim, H.: Formal verification of a flash memory device driver - an experience report. In: Havelund, K., Majumdar, R. (eds.) SPIN 2008. LNCS, vol. 5156, pp. 144–159. Springer, Heidelberg (2008)
Kim, M., Kim, Y., Choi, Y.: Concolic testing of the multi-sector read operation for flash storage platform software. In: Formal Aspects of Computing (to be published)
Kim, M., Kim, Y., Kim, H.: A comparative study of software model checkers as unit testing tools: An industrial case study. IEEE Transactions on Software Engineering (TSE) 37(2) (2011)
Kim, Y., Kim, M., Jang, Y.: Concolic testing on embedded software - case studies on mobile platform programs. In: European Software Engineering Conference/Foundations of Software Engineering (ESEC/FSE) Industrial Track (2011)
Sen, K., Marinov, D., Agha, G.: CUTE: A concolic unit testing engine for C. In: European Software Engineering Conference/Foundations of Software Engineering, ESEC/FSE (2005)
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Kim, M., Kim, Y. (2011). Automated Analysis of Industrial Embedded Software. In: Bultan, T., Hsiung, PA. (eds) Automated Technology for Verification and Analysis. ATVA 2011. Lecture Notes in Computer Science, vol 6996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24372-1_5
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DOI: https://doi.org/10.1007/978-3-642-24372-1_5
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