Abstract
Regression verification techniques are used to prove equivalence of closely related program versions. Existing regression verification techniques leverage the similarities between program versions to help improve analysis scalability by using abstraction and decomposition techniques. These techniques are sound but not complete. In this work, we propose an alternative technique to improve scalability of regression verification that leverages change impact information to partition program execution behaviors. Program behaviors in each version are partitioned into (a) behaviors impacted by the changes and (b) behaviors not impacted (unimpacted) by the changes. Our approach uses a combination of static analysis and symbolic execution to generate summaries of program behaviors impacted by the differences. We show in this work that checking equivalence of behaviors in two program versions reduces to checking equivalence of just the impacted behaviors. We prove that our approach is both sound and complete for sequential programs, with respect to the depth bound of symbolic execution; furthermore, our approach can be used with existing approaches to better leverage the similarities between program versions and improve analysis scalability. We evaluate our technique on a set of sequential C artifacts and present preliminary results.
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Backes, J., Person, S., Rungta, N., Tkachuk, O.: Regression verification using impact summaries (2013), Extended version available online http://ti.arc.nasa.gov/profile/nrungta/pubs/
Beyer, D., Cimatti, A., Griggio, A., Keremoglu, M., Sebastiani, R.: Software model checking via large-block encoding. In: FMCAD, pp. 25–32 (November 2009)
Boehme, M., Oliveira, B.C.d.S., Roychoudhury, A.: Partition-based regression verification. In: ICSE (2013)
Cadar, C., Dunbar, D., Engler, D.R.: Klee: Unassisted and automatic generation of high-coverage tests for complex systems programs. In: OSDI, pp. 209–224 (2008)
Chockler, H., Denaro, G., Ling, M., Fedyukovich, G., Hyvrinen, A.E.J., Mariani, L., Muhammad, A., Oriol, M., Rajan, A., Sery, O., Sharygina, N., Tautschnig, M.: Pincette – validating changes and upgrades in networked software. In: CSMR (2013)
de Moura, L., Bjørner, N.: Z3: An efficient SMT solver. In: Ramakrishnan, C.R., Rehof, J. (eds.) TACAS 2008. LNCS, vol. 4963, pp. 337–340. Springer, Heidelberg (2008)
Ganesh, V., Dill, D.L.: A decision procedure for bit-vectors and arrays. In: Damm, W., Hermanns, H. (eds.) CAV 2007. LNCS, vol. 4590, pp. 519–531. Springer, Heidelberg (2007)
Godlin, B., Strichman, O.: Regression verification. In: DAC (2009)
Kroening, D., Strichman, O.: Decision Procedures: An Algorithmic Point of View. Springer Publishing Company, Incorporated (2008)
Lahiri, S.K., Hawblitzel, C., Kawaguchi, M., Rebêlo, H.: SYMDIFF: A language-agnostic semantic diff tool for imperative programs. In: Madhusudan, P., Seshia, S.A. (eds.) CAV 2012. LNCS, vol. 7358, pp. 712–717. Springer, Heidelberg (2012)
Lattner, C., Adve, V.: LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation. In: CGO (2004)
Person, S., Dwyer, M.B., Elbaum, S., Pǎsǎreanu, C.S.: Differential symbolic execution. In: FSE, pp. 226–237 (2008)
Person, S., Yang, G., Rungta, N., Khurshid, S.: Directed incremental symbolic execution. In: PLDI, pp. 504–515 (2011)
Raghavan, S., Rohana, R., Leon, D., Podgurski, A., Augustine, V.: Dex: a semantic-graph differencing tool for studying changes in large code bases. In: ICSM, pp. 188–197 (2004)
Ramos, D.A., Engler, D.R.: Practical, low-effort equivalence verification of real code. In: Gopalakrishnan, G., Qadeer, S. (eds.) CAV 2011. LNCS, vol. 6806, pp. 669–685. Springer, Heidelberg (2011)
Rothermel, G., Harrold, M.J.: A safe, efficient regression test selection technique. ACM TOSEM, 173–210 (1997)
Rungta, N., Person, S., Branchaud, J.: A change impact analysis to characterize evolving program behaviors. In: ICSM (2012)
Sery, O., Fedyukovich, G., Sharygina, N.: Incremental upgrade checking by means of interpolation-based function summaries. In: FMCAD, UK (2012)
Strichman, O., Godlin, B.: Regression Verification - A Practical Way to Verify Programs. In: Meyer, B., Woodcock, J. (eds.) VSTTE 2005. LNCS, vol. 4171, pp. 496–501. Springer, Heidelberg (2008)
Visser, W., Geldenhuys, J., Dwyer, M.B.: Green: reducing, reusing and recycling constraints in program analysis. In: SIGSOFT FSE, p. 58 (2012)
Visser, W., Havelund, K., Brat, G.P., Park, S., Lerda, F.: Model checking programs. ASE 10(2), 203–232 (2003)
Yang, G., Dwyer, M.B., Rothermel, G.: Regression model checking. In: ICSM, pp. 115–124 (2009)
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Backes, J., Person, S., Rungta, N., Tkachuk, O. (2013). Regression Verification Using Impact Summaries. In: Bartocci, E., Ramakrishnan, C.R. (eds) Model Checking Software. SPIN 2013. Lecture Notes in Computer Science, vol 7976. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39176-7_7
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DOI: https://doi.org/10.1007/978-3-642-39176-7_7
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