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Paper accepted at CCS 2023: Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications

Funding by DFG-CONVEY

Articles in conference or workshop proceedings
  1. Dirk Beyer, Po-Chun Chien, and Nian-Ze Lee. CPA-DF: A Tool for Configurable Interval Analysis to Boost Program Verification. In Proc. ASE, 2023. Link to this entry Keyword(s): Software Model Checking, Cooperative Verification, CPAchecker Funding: DFG-CONVEY PDF Video Supplement
    Artifact(s)
    Abstract
    Software verification is challenging, and auxiliary program invariants are used to improve the effectiveness of verification approaches. For instance, the k-induction implementation in CPAchecker, an award-winning framework for program analysis, uses invariants produced by a configurable data-flow analysis to strengthen induction hypotheses. This invariant generator, CPA-DF, uses arithmetic expressions over intervals as its abstract domain and is able to prove some safe verification tasks alone. After extensively evaluating CPA-DF on SV-Benchmarks, the largest publicly available suite of C safety-verification tasks, we discover that its potential as a stand-alone analysis or a sub-analysis in a parallel portfolio for combined verification approaches has been significantly underestimated: (1) As a stand-alone analysis, CPA-DF finds almost as many proofs as the plain k-induction implementation without auxiliary invariants. (2) As a sub-analysis running in parallel to the plain k-induction implementation, CPA-DF boosts the portfolio verifier to solve a comparable amount of tasks as the heavily-optimized k-induction implementation with invariant injection. Our detailed analysis reveals that dynamic precision adjustment is crucial to the efficiency and effectiveness of CPA-DF. To generalize our results beyond CPAchecker, we use CoVeriTeam, a platform for cooperative verification, to compose three portfolio verifiers that execute CPA-DF and three other software verifiers in parallel, respectively. Surprisingly, running CPA-DF merely in parallel to these state-of-the-art tools further boosts the number of correct results up to more than 20%.
    Demonstration video: https://youtu.be/l7UG-vhTL_4
    BibTeX Entry
    @inproceedings{ASE23a, author = {Dirk Beyer and Po-Chun Chien and Nian-Ze Lee}, title = {{CPA-DF}: {A} Tool for Configurable Interval Analysis to Boost Program Verification}, booktitle = {Proc.\ ASE}, pages = {}, year = {2023}, series = {}, publisher = {}, url = {https://www.sosy-lab.org/research/cpa-df/}, pdf = {https://www.sosy-lab.org/research/pub/2023-ASE.CPA-DF_A_Tool_for_Configurable_Interval_Analysis_to_Boost_Program_Verification.pdf}, abstract = {Software verification is challenging, and auxiliary program invariants are used to improve the effectiveness of verification approaches. For instance, the <i>k</i>-induction implementation in <a href="https://cpachecker.sosy-lab.org/">CPAchecker</a>, an award-winning framework for program analysis, uses invariants produced by a configurable data-flow analysis to strengthen induction hypotheses. This invariant generator, CPA-DF, uses arithmetic expressions over intervals as its abstract domain and is able to prove some safe verification tasks alone. After extensively evaluating CPA-DF on <a href="https://gitlab.com/sosy-lab/benchmarking/sv-benchmarks">SV-Benchmarks</a>, the largest publicly available suite of C safety-verification tasks, we discover that its potential as a stand-alone analysis or a sub-analysis in a parallel portfolio for combined verification approaches has been significantly underestimated: (1) As a stand-alone analysis, CPA-DF finds almost as many proofs as the plain <i>k</i>-induction implementation without auxiliary invariants. (2) As a sub-analysis running in parallel to the plain <i>k</i>-induction implementation, CPA-DF boosts the portfolio verifier to solve a comparable amount of tasks as the heavily-optimized <i>k</i>-induction implementation with invariant injection. Our detailed analysis reveals that dynamic precision adjustment is crucial to the efficiency and effectiveness of CPA-DF. To generalize our results beyond CPAchecker, we use <a href="https://gitlab.com/sosy-lab/software/coveriteam">CoVeriTeam</a>, a platform for cooperative verification, to compose three portfolio verifiers that execute CPA-DF and three other software verifiers in parallel, respectively. Surprisingly, running CPA-DF merely in parallel to these state-of-the-art tools further boosts the number of correct results up to more than 20&percnt;. <br> Demonstration video: <a href="https://youtu.be/l7UG-vhTL_4">https://youtu.be/l7UG-vhTL_4</a>}, keyword = {Software Model Checking, Cooperative Verification, CPAchecker}, artifact = {10.5281/zenodo.8245821}, doinone = {Unpublished: Last checked: 2023-08-25}, funding = {DFG-CONVEY}, video = {https://youtu.be/l7UG-vhTL_4}, }
  2. Dirk Beyer and Martin Spiessl. LIV: Invariant Validation Using Straight-Line Programs. In Proc. ASE, 2023. Link to this entry Keyword(s): Software Model Checking, Cooperative Verification, CPAchecker Funding: DFG-CONVEY PDF Video Supplement
    Artifact(s)
    Abstract
    Validation of correctness proofs is an established procedure in software verification. While there are steady advances when it comes to verification of more and more complex software systems, it becomes increasingly hard to determine which information is actually useful for validation of the correctness proof. Usually, the central piece that verifiers struggle to come up with are good loop invariants. While a proof using inductive invariants is easy to validate, not all invariants used by verifiers necessarily are inductive. In order to alleviate this problem, we propose LIV, an approach that makes it easy to check if the invariant information provided by the verifier is sufficient to establish an inductive proof. This is done by emulating a Hoare-style proof, splitting the program into Hoare triples and converting these into verification tasks that can themselves be efficiently verified by an off-the-shelf verifier. In case the validation fails, useful information about the failure reason can be extracted from the overview of which triples could be established and which were refuted. We show that our approach works by evaluating it on a state-of-the-art benchmark set.
    BibTeX Entry
    @inproceedings{ASE23b, author = {Dirk Beyer and Martin Spiessl}, title = {LIV: Invariant Validation Using Straight-Line Programs}, booktitle = {Proc.\ ASE}, pages = {}, year = {2023}, series = {}, publisher = {}, url = {https://www.sosy-lab.org/research/liv}, pdf = {https://www.sosy-lab.org/research/pub/2023-ASE.LIV_Loop-Invariant_Validation_using_Straight-Line_Programs.pdf}, abstract = {Validation of correctness proofs is an established procedure in software verification. While there are steady advances when it comes to verification of more and more complex software systems, it becomes increasingly hard to determine which information is actually useful for validation of the correctness proof. Usually, the central piece that verifiers struggle to come up with are good loop invariants. While a proof using inductive invariants is easy to validate, not all invariants used by verifiers necessarily are inductive. In order to alleviate this problem, we propose LIV, an approach that makes it easy to check if the invariant information provided by the verifier is sufficient to establish an inductive proof. This is done by emulating a Hoare-style proof, splitting the program into Hoare triples and converting these into verification tasks that can themselves be efficiently verified by an off-the-shelf verifier. In case the validation fails, useful information about the failure reason can be extracted from the overview of which triples could be established and which were refuted. We show that our approach works by evaluating it on a state-of-the-art benchmark set.}, keyword = {Software Model Checking, Cooperative Verification, CPAchecker}, artifact = {10.5281/zenodo.8289101}, doinone = {Unpublished: Last checked: 2023-09-06}, funding = {DFG-CONVEY}, video = {https://youtu.be/mZhoGAa08Rk}, }
  3. Dirk Beyer, Marian Lingsch-Rosenfeld, and Martin Spiessl. CEGAR-PT: A Tool for Abstraction by Program Transformation. In Proc. ASE, 2023. Link to this entry Keyword(s): Software Model Checking, Cooperative Verification, CPAchecker Funding: DFG-CONVEY PDF Video Supplement
    Artifact(s)
    Abstract
    Abstraction is a key technology for proving the correctness of computer programs. There are many approaches available, but unfortunately, the various techniques are difficult to combine and the successful techniques have to be re-implemented again and again.
    We address this problem by using the tool CEGAR-PT, which views abstraction as program transformation and integrates different verification components off-the-shelf. The idea is to use existing components without having to change their implementation, while still adjusting the precision of the abstraction using the successful CEGAR approach. The approach is largely general: it only restricts the abstraction to transform, given a precision that defines the level of abstraction, one program into another program. The abstraction by program transformation can over-approximate the data flow (e.g., havoc some variables, use more abstract types) or the control flow (e.g., loop abstraction, slicing).
    BibTeX Entry
    @inproceedings{ASE23c, author = {Dirk Beyer and Marian Lingsch-Rosenfeld and Martin Spiessl}, title = {CEGAR-PT: A Tool for Abstraction by Program Transformation}, booktitle = {Proc.\ ASE}, pages = {}, year = {2023}, series = {}, publisher = {}, url = {https://www.sosy-lab.org/research/cegar-pt}, pdf = {https://www.sosy-lab.org/research/pub/2023-ASE.CEGAR-PT_A_Tool_for_Abstraction_by_Program_Transformation.pdf}, abstract = {Abstraction is a key technology for proving the correctness of computer programs. There are many approaches available, but unfortunately, the various techniques are difficult to combine and the successful techniques have to be re-implemented again and again. <br> We address this problem by using the tool CEGAR-PT, which views abstraction as program transformation and integrates different verification components off-the-shelf. The idea is to use existing components without having to change their implementation, while still adjusting the precision of the abstraction using the successful CEGAR approach. The approach is largely general: it only restricts the abstraction to transform, given a precision that defines the level of abstraction, one program into another program. The abstraction by program transformation can over-approximate the data flow (e.g., havoc some variables, use more abstract types) or the control flow (e.g., loop abstraction, slicing).}, keyword = {Software Model Checking, Cooperative Verification, CPAchecker}, artifact = {10.5281/zenodo.8287183}, doinone = {Unpublished: Last checked: 2023-09-06}, funding = {DFG-CONVEY}, video = {https://youtu.be/ASZ6hoq8asE}, }
  4. Dirk Beyer, Sudeep Kanav, and Henrik Wachowitz. CoVeriTeam Service: Verification as a Service. In Proc. ICSE, pages 21-25, 2023. IEEE. doi:10.1109/ICSE-Companion58688.2023.00017 Link to this entry Keyword(s): Software Model Checking, Incremental Verification, Cooperative Verification Funding: DFG-CONVEY Publisher's Version PDF Supplement
    Artifact(s)
    Abstract
    The research community has developed numerous tools for solving verification problems, but we are missing a common interface for executing them. This means users have to spend considerable effort on the installation and parameter setup, for each new tool (version) they want to execute. The situation could make a verification researcher wanting to experiment with a new verification tool turn away from it. We aim to make it easier for users to execute verification tools, as well as provide mechanism for tool developers to make their tools easily accessible. Our solution combines a web service and a common interface for verification tools. The presented service has been used during the 2023 competitions on software verification and testing, for integration testing. As another use- case, we developed a service for incremental verification on top of the CoVeriTeam Service and demonstrate its use in a continuous-integration process.
    BibTeX Entry
    @inproceedings{ICSE23, author = {Dirk Beyer and Sudeep Kanav and Henrik Wachowitz}, title = {{CoVeriTeam} Service: Verification as a Service}, booktitle = {Proc.\ ICSE}, pages = {21-25}, year = {2023}, publisher = {IEEE}, doi = {10.1109/ICSE-Companion58688.2023.00017}, url = {https://coveriteam-service.sosy-lab.org/static/index.html}, pdf = {https://www.sosy-lab.org/research/pub/2023-ICSE.CoVeriTeam_Service_Verification_as_a_Service.pdf}, abstract = {The research community has developed numerous tools for solving verification problems, but we are missing a common interface for executing them. This means users have to spend considerable effort on the installation and parameter setup, for each new tool (version) they want to execute. The situation could make a verification researcher wanting to experiment with a new verification tool turn away from it. We aim to make it easier for users to execute verification tools, as well as provide mechanism for tool developers to make their tools easily accessible. Our solution combines a web service and a common interface for verification tools. The presented service has been used during the 2023 competitions on software verification and testing, for integration testing. As another use- case, we developed a service for incremental verification on top of the {CoVeriTeam} Service and demonstrate its use in a continuous-integration process.}, keyword = {Software Model Checking,Incremental Verification,Cooperative Verification}, _sha256 = {604dd391b6a49e46e97b6faafbb3cc331ccf5c04e3d364cf1e76a2c99c1c267f}, artifact = {10.5281/zenodo.7276532}, funding = {DFG-CONVEY}, }
  5. Dirk Beyer, Po-Chun Chien, and Nian-Ze Lee. Bridging Hardware and Software Analysis with Btor2C: A Word-Level-Circuit-to-C Translator. In Proc. TACAS, LNCS 13994, pages 1-21, 2023. Springer. doi:10.1007/978-3-031-30820-8_12 Link to this entry Keyword(s): Software Model Checking, Cooperative Verification, Btor2 Funding: DFG-CONVEY Publisher's Version PDF Presentation Supplement
    Artifact(s)
    Abstract
    Across the broad field for the analysis of computational systems, research endeavors are often categorized by the respective models under investigation. Algorithms and tools are usually developed for a specific model, hindering their applications to similar problems originating from other computational systems. A prominent example of such situation is the studies on formal verification and testing for hardware and software systems. The two research communities share common theoretical foundations and solving methods, including satisfiability, interpolation, and abstraction refinement. Nevertheless, it is often demanding for one community to benefit from the advancements of the other, as analyzers typically assume a particular input format. To bridge the gap between the hardware and software analysis, we propose Btor2C, a converter from word-level sequential circuits to C programs. We choose the Btor2 language as the input format for its simplicity and bit-precise semantics. It can be deemed as an intermediate representation tailored for analysis. Given a Btor2 circuit, Btor2C generates a behaviorally equivalent program in the C language, supported by most static program analyzers. We demonstrate the use cases of Btor2C by translating the benchmark set from the Hardware Model Checking Competitions into C programs and analyze them by tools from the Competitions on Software Verification and Testing. Our results show that software analyzers can complement hardware verifiers for enhanced quality assurance.
    BibTeX Entry
    @inproceedings{TACAS23a, author = {Dirk Beyer and Po-Chun Chien and Nian-Ze Lee}, title = {Bridging Hardware and Software Analysis with {Btor2C}: {A} Word-Level-Circuit-to-{C} Translator}, booktitle = {Proc.\ TACAS}, pages = {1-21}, year = {2023}, series = {LNCS~13994}, publisher = {Springer}, doi = {10.1007/978-3-031-30820-8_12}, url = {https://www.sosy-lab.org/research/btor2c/}, presentation = {https://www.sosy-lab.org/research/prs/2023-04-26_TACAS23_Bridging_Hardware_and_Software_Analysis_with_Btor2C_Po-Chun.pdf}, abstract = {Across the broad field for the analysis of computational systems, research endeavors are often categorized by the respective models under investigation. Algorithms and tools are usually developed for a specific model, hindering their applications to similar problems originating from other computational systems. A prominent example of such situation is the studies on formal verification and testing for hardware and software systems. The two research communities share common theoretical foundations and solving methods, including satisfiability, interpolation, and abstraction refinement. Nevertheless, it is often demanding for one community to benefit from the advancements of the other, as analyzers typically assume a particular input format. To bridge the gap between the hardware and software analysis, we propose {Btor2C}, a converter from word-level sequential circuits to {C} programs. We choose <a href="https://doi.org/10.1007/978-3-319-96145-3_32">the {Btor2} language</a> as the input format for its simplicity and bit-precise semantics. It can be deemed as an intermediate representation tailored for analysis. Given a {Btor2} circuit, {Btor2C} generates a behaviorally equivalent program in the {C} language, supported by most static program analyzers. We demonstrate the use cases of {Btor2C} by translating the benchmark set from the Hardware Model Checking Competitions into {C} programs and analyze them by tools from the Competitions on Software Verification and Testing. Our results show that software analyzers can complement hardware verifiers for enhanced quality assurance.}, keyword = {Software Model Checking, Cooperative Verification, Btor2}, _pdf = {https://www.sosy-lab.org/research/pub/2023-TACAS.Bridging_Hardware_and_Software_Analysis_with_Btor2C_A_Word-Level-Circuit-to-C_Translator.pdf}, artifact = {10.5281/zenodo.7551707}, funding = {DFG-CONVEY}, }
  6. Dirk Beyer, Martin Spiessl, and Sven Umbricht. Cooperation between Automatic and Interactive Software Verifiers. In Bernd-Holger Schlingloff and Ming Chai, editors, Proceedings of the 20th International Conference on Software Engineering and Formal Methods, (SEFM 2022, Berlin, Germany, September 26-30, LNCS 13550, pages 111–128, 2022. Springer. doi:10.1007/978-3-031-17108-6_7 Link to this entry Keyword(s): Software Model Checking Funding: DFG-CONVEY Publisher's Version PDF
    BibTeX Entry
    @inproceedings{SEFM22b, author = {Dirk Beyer and Martin Spiessl and Sven Umbricht}, title = {Cooperation between Automatic and Interactive Software Verifiers}, booktitle = {Proceedings of the 20th International Conference on Software Engineering and Formal Methods, (SEFM~2022, Berlin, Germany, September 26-30}, editor = {Bernd-Holger Schlingloff and Ming Chai}, pages = {111–128}, year = {2022}, series = {LNCS~13550}, publisher = {Springer}, doi = {10.1007/978-3-031-17108-6_7}, sha256 = {a310ff0ac97f37ee817c6f05a4cc9a635cbacd09ad301b483095f133040e8e48}, url = {}, abstract = {}, keyword = {Software Model Checking}, _pdf = {https://www.sosy-lab.org/research/pub/2022-SEFM.Cooperation_between_Automatic_and_Interactive_Software_Verifiers.pdf}, funding = {DFG-CONVEY}, }
  7. Dirk Beyer, Marian Lingsch Rosenfeld, and Martin Spiessl. A Unifying Approach for Control-Flow-Based Loop Abstraction. In Bernd-Holger Schlingloff and Ming Chai, editors, Proceedings of the 20th International Conference on Software Engineering and Formal Methods, (SEFM 2022, Berlin, Germany, September 26-30, LNCS 13550, pages 3-19, 2022. Springer. doi:10.1007/978-3-031-17108-6_1 Link to this entry Keyword(s): Software Model Checking Funding: DFG-CONVEY Publisher's Version PDF
    BibTeX Entry
    @inproceedings{SEFM22a, author = {Dirk Beyer and Marian Lingsch Rosenfeld and Martin Spiessl}, title = {A Unifying Approach for Control-Flow-Based Loop Abstraction}, booktitle = {Proceedings of the 20th International Conference on Software Engineering and Formal Methods, (SEFM~2022, Berlin, Germany, September 26-30}, editor = {Bernd-Holger Schlingloff and Ming Chai}, pages = {3-19}, year = {2022}, series = {LNCS~13550}, publisher = {Springer}, doi = {10.1007/978-3-031-17108-6_1}, sha256 = {047a8a9062e143741623320cf80ec963ce5f7200a5a75d263fa6615c12f2199e}, url = {}, abstract = {}, keyword = {Software Model Checking}, _pdf = {https://www.sosy-lab.org/research/pub/2022-SEFM.A_Unifying_Approach_for_Control-Flow-Based_Loop_Abstraction.pdf}, funding = {DFG-CONVEY}, }
  8. Dirk Beyer and Martin Spiessl. The Static Analyzer Frama-C in SV-COMP (Competition Contribution). In Dana Fisman and Grigore Rosu, editors, Proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2022, Munich, Germany, April 2-7, LNCS 13244, pages 429-434, 2022. Springer. doi:10.1007/978-3-030-99527-0_26 Link to this entry Keyword(s): Competition on Software Verification (SV-COMP), Software Model Checking Funding: DFG-CONVEY Publisher's Version PDF
    BibTeX Entry
    @inproceedings{TACAS22c, author = {Dirk Beyer and Martin Spiessl}, title = {The Static Analyzer {Frama-C} in {SV-COMP} (Competition Contribution)}, booktitle = {Proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS~2022, Munich, Germany, April 2-7}, editor = {Dana Fisman and Grigore Rosu}, pages = {429--434}, year = {2022}, series = {LNCS~13244}, publisher = {Springer}, doi = {10.1007/978-3-030-99527-0_26}, sha256 = {77ed425c2b30a4f9424ed46c9cb5a846f5c21677ececdbf098e30f37aca67a3d}, url = {}, abstract = {}, keyword = {Competition on Software Verification (SV-COMP),Software Model Checking}, _pdf = {https://www.sosy-lab.org/research/pub/2022-TACAS.The_Static_Analyzer_Frama-C_in_SV-COMP_Competition_Contribution.pdf}, funding = {DFG-CONVEY}, }
  9. Dirk Beyer, Karlheinz Friedberger, and Stephan Holzner. PJBDD: A BDD Library for Java and Multi-Threading. In Proceedings of the 19th International Symposium on Automated Technology for Verification and Analysis (ATVA21 2021, Gold Coast (Online), Australia, October 18-22), 2021. Springer. doi:10.1007/978-3-030-88885-5_10 Link to this entry Keyword(s): PJBDD, BDD Funding: DFG-CONVEY Publisher's Version PDF
    Artifact(s)
    Abstract
    PJBDD is a flexible and modular Java library for binary decision diagrams (BDD), which are a well-known data structure for performing efficient operations on compressed sets and relations. BDDs have practical applications in composing and analyzing boolean functions, e.g., for computer-aided verification. Despite its importance, there are only a few BDD libraries available. PJBDD is based on a slim object-oriented design, supports multi-threaded execution of the BDD operations (internal) as well as thread-safe access to the operations from applications (external). It provides automatic reference counting and garbage collection. The modular design of the library allows us to provide a uniform API for binary decision diagrams, zero-suppressed decision diagrams, and also chained decision diagrams. This paper includes a compact evaluation of PJBDD, to demonstrate that concurrent operations on large BDDs scale well and parallelize nicely on multi-core CPUs.
    BibTeX Entry
    @inproceedings{ATVA21, author = {Dirk Beyer and Karlheinz Friedberger and Stephan Holzner}, title = {{PJBDD}: {A} {BDD} Library for {Java} and Multi-Threading}, booktitle = {Proceedings of the 19th International Symposium on Automated Technology for Verification and Analysis (ATVA21~2021, Gold Coast (Online), Australia, October 18-22)}, year = {2021}, publisher = {Springer}, doi = {10.1007/978-3-030-88885-5_10}, pdf = {https://www.sosy-lab.org/research/pub/2021-ATVA.PJBDD_A_BDD_Library_for_Java_and_Multi_Threading.pdf}, abstract = {PJBDD is a flexible and modular Java library for binary decision diagrams (BDD), which are a well-known data structure for performing efficient operations on compressed sets and relations. BDDs have practical applications in composing and analyzing boolean functions, e.g., for computer-aided verification. Despite its importance, there are only a few BDD libraries available. PJBDD is based on a slim object-oriented design, supports multi-threaded execution of the BDD operations (internal) as well as thread-safe access to the operations from applications (external). It provides automatic reference counting and garbage collection. The modular design of the library allows us to provide a uniform API for binary decision diagrams, zero-suppressed decision diagrams, and also chained decision diagrams. This paper includes a compact evaluation of PJBDD, to demonstrate that concurrent operations on large BDDs scale well and parallelize nicely on multi-core CPUs.}, keyword = {PJBDD,BDD}, artifact = {10.5281/zenodo.5070156}, funding = {DFG-CONVEY}, }
  10. Daniel Baier, Dirk Beyer, and Karlheinz Friedberger. JavaSMT 3: Interacting with SMT Solvers in Java. In A. Silva and K. R. M. Leino, editors, Proceedings of the 33rd International Conference on Computer-Aided Verification (CAV 2021, Los Angeles, California, USA, July 18-24), LNCS 12760, pages 1-13, 2021. Springer. doi:10.1007/978-3-030-81688-9_9 Link to this entry Keyword(s): JavaSMT Funding: DFG-CONVEY Publisher's Version PDF Supplement
    BibTeX Entry
    @inproceedings{CAV21, author = {Daniel Baier and Dirk Beyer and Karlheinz Friedberger}, title = {JavaSMT 3: Interacting with SMT Solvers in Java}, booktitle = {Proceedings of the 33rd International Conference on Computer-Aided Verification (CAV~2021, Los Angeles, California, USA, July 18-24)}, editor = {A.~Silva and K.~R.~M.~Leino}, pages = {1-13}, year = {2021}, series = {LNCS~12760}, publisher = {Springer}, doi = {10.1007/978-3-030-81688-9_9}, sha256 = {6c0ff13c5dd8596e19be4176eefaafe5853d60a082b78ebd3f5e64381fdcb100}, url = {https://github.com/sosy-lab/java-smt}, abstract = {}, keyword = {JavaSMT}, _pdf = {https://www.sosy-lab.org/research/pub/2021-CAV.JavaSMT_3_Interacting_with_SMT_Solvers_in_Java.pdf}, funding = {DFG-CONVEY}, }
  11. Dirk Beyer. Software Verification: 10th Comparative Evaluation (SV-COMP 2021). In J. F. Groote and K. G. Larsen, editors, Proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2021, Luxembourg, Luxembourg, March 27 - April 1), part 2, LNCS 12652, pages 401-422, 2021. Springer. doi:10.1007/978-3-030-72013-1_24 Link to this entry Keyword(s): Competition on Software Verification (SV-COMP), Competition on Software Verification (SV-COMP Report), Software Model Checking Funding: DFG-CONVEY Publisher's Version PDF Supplement
    BibTeX Entry
    @inproceedings{TACAS21, author = {Dirk Beyer}, title = {Software Verification: 10th Comparative Evaluation ({SV-COMP 2021})}, booktitle = {Proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS~2021, Luxembourg, Luxembourg, March 27 - April 1), part 2}, editor = {J.~F.~Groote and K.~G.~Larsen}, pages = {401-422}, year = {2021}, series = {LNCS~12652}, publisher = {Springer}, doi = {10.1007/978-3-030-72013-1_24}, sha256 = {d78bb586715b0650702665510258d8e53a7bd16ae2a3cc4568b5986527b29051}, url = {https://sv-comp.sosy-lab.org/2021/}, abstract = {}, keyword = {Competition on Software Verification (SV-COMP),Competition on Software Verification (SV-COMP Report),Software Model Checking}, funding = {DFG-CONVEY}, }
  12. Dirk Beyer and Karlheinz Friedberger. Domain-Independent Interprocedural Program Analysis using Block-Abstraction Memoization. In P. Devanbu, M. Cohen, and T. Zimmermann, editors, Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020, Virtual Event, USA, November 8-13), pages 50-62, 2020. ACM. doi:10.1145/3368089.3409718 Link to this entry Keyword(s): CPAchecker, Software Model Checking Funding: DFG-CONVEY Publisher's Version PDF Supplement
    Artifact(s)
    BibTeX Entry
    @inproceedings{FSE20, author = {Dirk Beyer and Karlheinz Friedberger}, title = {Domain-Independent Interprocedural Program Analysis using Block-Abstraction Memoization}, booktitle = {Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE~2020, Virtual Event, USA, November 8-13)}, editor = {P.~Devanbu and M.~Cohen and T.~Zimmermann}, pages = {50-62}, year = {2020}, publisher = {ACM}, doi = {10.1145/3368089.3409718}, url = {https://cpachecker.sosy-lab.org}, keyword = {CPAchecker,Software Model Checking}, _sha256 = {36dc2a423425ee8bec03f0f4073e04f9121d299cc475e27190828e8276e00cb8}, artifact = {10.5281/zenodo.4024268}, funding = {DFG-CONVEY}, fundingid = {378803395}, }
  13. Dirk Beyer and Karlheinz Friedberger. Violation Witnesses and Result Validation for Multi-Threaded Programs. In T. Margaria and B. Steffen, editors, Proceedings of the 9th International Symposium on Leveraging Applications of Formal Methods, Verification, and Validation (ISoLA 2020, Rhodos, Greece, October 26-30), part 1, LNCS 12476, pages 449-470, 2020. Springer. doi:10.1007/978-3-030-61362-4_26 Link to this entry Keyword(s): CPAchecker, Software Model Checking, Witness-Based Validation, Witness-Based Validation (main) Funding: DFG-CONVEY Publisher's Version PDF Presentation Supplement
    BibTeX Entry
    @inproceedings{ISoLA20c, author = {Dirk Beyer and Karlheinz Friedberger}, title = {Violation Witnesses and Result Validation for Multi-Threaded Programs}, booktitle = {Proceedings of the 9th International Symposium on Leveraging Applications of Formal Methods, Verification, and Validation (ISoLA~2020, Rhodos, Greece, October 26-30), part~1}, editor = {T.~Margaria and B.~Steffen}, pages = {449-470}, year = {2020}, series = {LNCS~12476}, publisher = {Springer}, doi = {10.1007/978-3-030-61362-4_26}, sha256 = {65fc5325c4e77a80d8e47f9c0e7f0ac02379bfa15dcd9fb54d6587185b8efd77}, url = {https://www.sosy-lab.org/research/witnesses-concurrency/}, presentation = {https://www.sosy-lab.org/research/prs/2021-10-25_ISOLA21_ValidationMultiThreaded_Dirk.pdf}, abstract = {}, keyword = {CPAchecker,Software Model Checking,Witness-Based Validation,Witness-Based Validation (main)}, funding = {DFG-CONVEY}, }
  14. Dirk Beyer and Sudeep Kanav. An Interface Theory for Program Verification. In T. Margaria and B. Steffen, editors, Proceedings of the 9th International Symposium on Leveraging Applications of Formal Methods, Verification, and Validation (ISoLA 2020, Rhodos, Greece, October 26-30), part 1, LNCS 12476, pages 168-186, 2020. Springer. doi:10.1007/978-3-030-61362-4_9 Link to this entry Keyword(s): CPAchecker, Software Model Checking, Interfaces for Component-Based Design Funding: DFG-CONVEY Publisher's Version PDF Presentation
    BibTeX Entry
    @inproceedings{ISoLA20b, author = {Dirk Beyer and Sudeep Kanav}, title = {An Interface Theory for Program Verification}, booktitle = {Proceedings of the 9th International Symposium on Leveraging Applications of Formal Methods, Verification, and Validation (ISoLA~2020, Rhodos, Greece, October 26-30), part~1}, editor = {T.~Margaria and B.~Steffen}, pages = {168-186}, year = {2020}, series = {LNCS~12476}, publisher = {Springer}, doi = {10.1007/978-3-030-61362-4_9}, sha256 = {f15159da0e648a25e57c769639c989e68cd3407bfad10db5ee1dc25e1d2fd672}, url = {}, presentation = {https://www.sosy-lab.org/research/prs/2021-10-29_ISOLA21_VerificationInterfaces_Dirk.pdf}, abstract = {}, keyword = {CPAchecker,Software Model Checking,Interfaces for Component-Based Design}, funding = {DFG-CONVEY}, }
  15. Dirk Beyer, Marie-Christine Jakobs, and Thomas Lemberger. Difference Verification with Conditions. In F. d. Boer and A. Cerone, editors, Proceedings of the 18th International Conference on Software Engineering and Formal Methods (SEFM 2020, Virtual, Netherlands, September 14-18), LNCS 12310, pages 133-154, 2020. Springer. doi:10.1007/978-3-030-58768-0_8 Link to this entry Keyword(s): CPAchecker, Software Model Checking Funding: DFG-COOP, DFG-CONVEY Publisher's Version PDF Presentation Video Supplement
    Abstract
    Modern software-verification tools need to support development processes that involve frequent changes. Existing approaches for incremental verification hard-code specific verification techniques. Some of the approaches must be tightly intertwined with the development process. To solve this open problem, we present the concept of difference verification with conditions. Difference verification with conditions is independent from any specific verification technique and can be integrated in software projects at any time. It first applies a change analysis that detects which parts of a software were changed between revisions and encodes that information in a condition. Based on this condition, an off-the-shelf verifier is used to verify only those parts of the software that are influenced by the changes. As a proof of concept, we propose a simple, syntax-based change analysis and use difference verification with conditions with three off-the-shelf verifiers. An extensive evaluation shows the competitiveness of difference verification with conditions.
    BibTeX Entry
    @inproceedings{SEFM20b, author = {Dirk Beyer and Marie-Christine Jakobs and Thomas Lemberger}, title = {Difference Verification with Conditions}, booktitle = {Proceedings of the 18th International Conference on Software Engineering and Formal Methods (SEFM~2020, Virtual, Netherlands, September 14-18)}, editor = {F.~d.~Boer and A.~Cerone}, pages = {133--154}, year = {2020}, series = {LNCS~12310}, publisher = {Springer}, doi = {10.1007/978-3-030-58768-0_8}, sha256 = {8e5219da9a998b26f59013c809fbb1db6f92e3f08125fa1bfaacafcfafafef7f}, url = {https://www.sosy-lab.org/research/difference/}, presentation = {https://www.sosy-lab.org/research/prs/2020-09-17_SEFM20_DifferenceVerificationWithConditions_Thomas.pdf}, abstract = {Modern software-verification tools need to support development processes that involve frequent changes. Existing approaches for incremental verification hard-code specific verification techniques. Some of the approaches must be tightly intertwined with the development process. To solve this open problem, we present the concept of difference verification with conditions. Difference verification with conditions is independent from any specific verification technique and can be integrated in software projects at any time. It first applies a change analysis that detects which parts of a software were changed between revisions and encodes that information in a condition. Based on this condition, an off-the-shelf verifier is used to verify only those parts of the software that are influenced by the changes. As a proof of concept, we propose a simple, syntax-based change analysis and use difference verification with conditions with three off-the-shelf verifiers. An extensive evaluation shows the competitiveness of difference verification with conditions.}, keyword = {CPAchecker,Software Model Checking}, funding = {DFG-COOP,DFG-CONVEY}, isbnnote = {}, video = {https://youtu.be/dG02602c9oo}, }
  16. Dirk Beyer and Martin Spiessl. MetaVal: Witness Validation via Verification. In S. K. Lahiri and C. Wang, editors, Proceedings of the 32nd International Conference on Computer Aided Verification (CAV 2020, Virtual, USA, July 21-24), part 2, LNCS 12225, pages 165-177, 2020. Springer. doi:10.1007/978-3-030-53291-8_10 Link to this entry Keyword(s): CPAchecker, Software Model Checking, Witness-Based Validation, Witness-Based Validation (main) Funding: DFG-CONVEY Publisher's Version PDF Supplement
    BibTeX Entry
    @inproceedings{CAV20, author = {Dirk Beyer and Martin Spiessl}, title = {MetaVal: {W}itness Validation via Verification}, booktitle = {Proceedings of the 32nd International Conference on Computer Aided Verification (CAV~2020, Virtual, USA, July 21-24), part 2}, editor = {S.~K.~Lahiri and C.~Wang}, pages = {165-177}, year = {2020}, series = {LNCS~12225}, publisher = {Springer}, doi = {10.1007/978-3-030-53291-8_10}, sha256 = {7431085a248c7e2cab70318096622ff19ce1124067158d08866d3f9b250df44e}, url = {https://gitlab.com/sosy-lab/software/metaval}, abstract = {}, keyword = {CPAchecker,Software Model Checking,Witness-Based Validation,Witness-Based Validation (main)}, funding = {DFG-CONVEY}, isbnnote = {978-3-030-53290-1}, }

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