Software and Computational Systems Lab

Publications about Benchmarking

1. Dirk Beyer and Thomas Lemberger. Six Years Later: Testing vs. Model Checking. International Journal on Software Tools for Technology Transfer (STTT):633-646, 2025. doi:10.1007/s10009-024-00769-8 Keyword(s): Benchmarking, Competition on Software Verification (SV-COMP), Competition on Software Testing (Test-Comp), Software Model Checking, Software Testing Funding: DFG-COOP Publisher's Version PDF
   Artifact(s)

   1. doi:10.5281/zenodo.10232648
   Abstract

   Six years ago, we performed the first large-scale comparison of automated test generators and software model checkers with respect to bug-finding capabilities on a benchmark set with 5 693 C programs. Since then, the International Competition on Software Testing (Test-Comp) has established standardized formats and community-agreed rules for the experimental comparison of test generators. With this new context, it is time to revisit our initial question: Model checkers or test generators—which tools are more effective in finding bugs in software? To answer this, we perform a comparative analysis on the tools and existing data published by two competitions, the International Competition on Software Verification (SV-COMP) and Test-Comp. The results provide two insights: (1) Almost all test generators that participate in Test-Comp use hybrid approaches that include formal methods, and (2) while the considered model checkers are still highly competitive, they are now outperformed by the bug-finding capabilities of the considered test generators.
   BibTeX Entry

   @article{TestStudy-STTT, author = {Dirk Beyer and Thomas Lemberger}, title = {Six Years Later: Testing vs. Model Checking}, journal = {International Journal on Software Tools for Technology Transfer (STTT)}, volume = {}, number = {}, pages = {633-646}, year = {2025}, doi = {10.1007/s10009-024-00769-8}, sha256 = {54a77a871b92516db8785b627ee73ef48f110616b368afb9554e0b71832e47c5}, url = {}, pdf = {https://www.sosy-lab.org/research/pub/2024-STTT.Six_Years_Later_Testing_vs_Model_Checking.pdf}, presentation = {}, abstract = {Six years ago, we performed the first large-scale comparison of automated test generators and software model checkers with respect to bug-finding capabilities on a benchmark set with 5 693 C programs. Since then, the International Competition on Software Testing (Test-Comp) has established standardized formats and community-agreed rules for the experimental comparison of test generators. With this new context, it is time to revisit our initial question: Model checkers or test generators—which tools are more effective in finding bugs in software? To answer this, we perform a comparative analysis on the tools and existing data published by two competitions, the International Competition on Software Verification (SV-COMP) and Test-Comp. The results provide two insights: (1) Almost all test generators that participate in Test-Comp use hybrid approaches that include formal methods, and (2) while the considered model checkers are still highly competitive, they are now outperformed by the bug-finding capabilities of the considered test generators.}, keyword = {Benchmarking, Competition on Software Verification (SV-COMP), Competition on Software Testing (Test-Comp), Software Model Checking, Software Testing}, artifact = {10.5281/zenodo.10232648}, funding = {DFG-COOP}, }
2. Dirk Beyer, Stefan Löwe, and Philipp Wendler. Reliable Benchmarking: Requirements and Solutions. International Journal on Software Tools for Technology Transfer (STTT), 21(1):1-29, 2019. doi:10.1007/s10009-017-0469-y Keyword(s): Benchmarking Publisher's Version PDF Presentation Supplement
   Abstract

   Benchmarking is a widely used method in experimental computer science, in particular, for the comparative evaluation of tools and algorithms. As a consequence, a number of questions need to be answered in order to ensure proper benchmarking, resource measurement, and presentation of results, all of which is essential for researchers, tool developers, and users, as well as for tool competitions. We identify a set of requirements that are indispensable for reliable benchmarking and resource measurement of time and memory usage of automatic solvers, verifiers, and similar tools, and discuss limitations of existing methods and benchmarking tools. Fulfilling these requirements in a benchmarking framework can (on Linux systems) currently only be done by using the cgroup and namespace features of the kernel. We developed BenchExec, a ready-to-use, tool-independent, and open-source implementation of a benchmarking framework that fulfills all presented requirements, making reliable benchmarking and resource measurement easy. Our framework is able to work with a wide range of different tools, has proven its reliability and usefulness in the International Competition on Software Verification, and is used by several research groups worldwide to ensure reliable benchmarking. Finally, we present guidelines on how to present measurement results in a scientifically valid and comprehensible way.
   BibTeX Entry

   @article{Benchmarking-STTT, author = {Dirk Beyer and Stefan L{\"o}we and Philipp Wendler}, title = {Reliable Benchmarking: {R}equirements and Solutions}, journal = {International Journal on Software Tools for Technology Transfer (STTT)}, volume = {21}, number = {1}, pages = {1--29}, year = {2019}, doi = {10.1007/s10009-017-0469-y}, sha256 = {a50fbc212af394b32166d6354f986e7b1d5bc87220bdc50df899d6a46fedf33c}, url = {https://www.sosy-lab.org/research/benchmarking/}, presentation = {https://www.sosy-lab.org/research/prs/Latest_ReliableBenchmarking.pdf}, abstract = {Benchmarking is a widely used method in experimental computer science, in particular, for the comparative evaluation of tools and algorithms. As a consequence, a number of questions need to be answered in order to ensure proper benchmarking, resource measurement, and presentation of results, all of which is essential for researchers, tool developers, and users, as well as for tool competitions. We identify a set of requirements that are indispensable for reliable benchmarking and resource measurement of time and memory usage of automatic solvers, verifiers, and similar tools, and discuss limitations of existing methods and benchmarking tools. Fulfilling these requirements in a benchmarking framework can (on Linux systems) currently only be done by using the cgroup and namespace features of the kernel. We developed BenchExec, a ready-to-use, tool-independent, and open-source implementation of a benchmarking framework that fulfills all presented requirements, making reliable benchmarking and resource measurement easy. Our framework is able to work with a wide range of different tools, has proven its reliability and usefulness in the International Competition on Software Verification, and is used by several research groups worldwide to ensure reliable benchmarking. Finally, we present guidelines on how to present measurement results in a scientifically valid and comprehensible way.}, keyword = {Benchmarking}, _pdf = {https://www.sosy-lab.org/research/pub/2019-STTT.Reliable_Benchmarking_Requirements_and_Solutions.pdf}, annote = {Publication appeared first online in November 2017<BR/> BenchExec is available at: <a href="https://github.com/sosy-lab/benchexec"> https://github.com/sosy-lab/benchexec</a>}, }
   Additional Infos

   Publication appeared first online in November 2017
   BenchExec is available at: https://github.com/sosy-lab/benchexec
3. Philipp Wendler. Beiträge zu praktikabler Prädikatenanalyse. In S. Hölldobler, editors, Ausgezeichnete Informatikdissertationen 2017, LNI, pages 261-270, 2018. Gesellschaft für Informatik (GI). Keyword(s): Benchmarking, CPAchecker, Software Model Checking Publisher's Version PDF Presentation Supplement
   Abstract

   Der Stand der Forschung im Bereich der automatischen Software-Verifikation ist fragmentiert. Verschiedene Verfahren existieren nebeneinander in unterschiedlichen Darstellungen und mit wenig Bezug zueinander, aussagekräftige Vergleiche sind selten. Die Dissertation adressiert dieses Problem. Ein konfigurierbares und flexibles Rahmenwerk zur Vereinheitlichung solcher Verfahren wird entwickelt und mehrere vorhandene Verfahren werden in diesem Rahmenwerk ausgedrückt. Dies bringt neue Erkenntnisse über die Kernideen dieser Verfahren, ermöglicht experimentelle Studien in einer neuartigen Qualität, und erleichtert die Forschung an Kombinationen und Weiterentwicklungen dieser Verfahren. Die Implementierung dieses Rahmenwerks im erfolgreichen Verifizierer CPAchecker wird in der bisher größten derartigen experimentellen Studie (120 verschiedene Konfigurationen, 671280 Ausführungen) evaluiert. Hierzu wird ein Benchmarking-System präsentiert, das mit Hilfe moderner Technologien signifikante qualitative Messfehler existierender Systeme vermeidet.
   BibTeX Entry

   @incollection{DissZusammenfassungWendler, author = {Philipp Wendler}, title = {Beitr{\"{a}}ge zu praktikabler Pr{\"{a}}dikatenanalyse}, booktitle = {Ausgezeichnete Informatikdissertationen 2017}, editor = {S. H{\"{o}}lldobler}, volume = {{D-18}}, pages = {261-270}, year = {2018}, series = {{LNI}}, publisher = {Gesellschaft f{\"{u}}r Informatik ({GI})}, isbn = {978-3885799771}, url = {https://www.sosy-lab.org/research/phd/wendler/}, pdf = {https://dl.gi.de/bitstream/handle/20.500.12116/19476/invited_paper_4.pdf?sequence=1&isAllowed=y}, presentation = {https://www.sosy-lab.org/research/prs/2018-05-08_GiDiss_BeitraegeZuPraktikablerPraedikatenanalyse.pdf}, abstract = {Der Stand der Forschung im Bereich der automatischen Software-Verifikation ist fragmentiert. Verschiedene Verfahren existieren nebeneinander in unterschiedlichen Darstellungen und mit wenig Bezug zueinander, aussagekr&auml;ftige Vergleiche sind selten. Die Dissertation adressiert dieses Problem. Ein konfigurierbares und flexibles Rahmenwerk zur Vereinheitlichung solcher Verfahren wird entwickelt und mehrere vorhandene Verfahren werden in diesem Rahmenwerk ausgedr&uuml;ckt. Dies bringt neue Erkenntnisse &uuml;ber die Kernideen dieser Verfahren, erm&ouml;glicht experimentelle Studien in einer neuartigen Qualit&auml;t, und erleichtert die Forschung an Kombinationen und Weiterentwicklungen dieser Verfahren. Die Implementierung dieses Rahmenwerks im erfolgreichen Verifizierer CPAchecker wird in der bisher gr&ouml;&szlig;ten derartigen experimentellen Studie (120 verschiedene Konfigurationen, 671280 Ausf&uuml;hrungen) evaluiert. Hierzu wird ein Benchmarking-System pr&auml;sentiert, das mit Hilfe moderner Technologien signifikante qualitative Messfehler existierender Systeme vermeidet.}, keyword = {Benchmarking,CPAchecker,Software Model Checking}, annote = {This is a German summary of the dissertation <a href="https://www.sosy-lab.org/research/bib/Year/2017.complete.html#PhilippPredicateAnalysis">Towards Practical Predicate Analysis</a>.}, doifalse = {20.500.12116/19476}, urlpub = {https://dl.gi.de/handle/20.500.12116/19476}, }
   Additional Infos

   This is a German summary of the dissertation Towards Practical Predicate Analysis.

4. Dirk Beyer, Po-Chun Chien, and Marek Jankola. BenchCloud: A Platform for Scalable Performance Benchmarking. In Proc. ASE, pages 2386-2389, 2024. ACM. doi:10.1145/3691620.3695358 Keyword(s): Benchmarking, Competition on Software Verification (SV-COMP), Competition on Software Testing (Test-Comp) Funding: DFG-CONVEY, DFG-COOP Publisher's Version PDF Presentation Video Supplement
   Artifact(s)

   1. doi:10.5281/zenodo.13742756
   Abstract

   Performance evaluation is a crucial method for assessing automated-reasoning tools. Evaluating automated tools requires rigorous benchmarking to accurately measure resource consumption, including time and memory, which are essential for understanding the tools' capabilities. BenchExec, a widely used benchmarking framework, reliably measures resource usage for tools executed locally on a single node. This paper describes BenchCloud, a solution for elastic and scalable job distribution across hundreds of nodes, enabling large-scale experiments on distributed and heterogeneous computing environments. BenchCloud seamlessly integrates with BenchExec, allowing BenchExec to delegate the actual execution to BenchCloud. The system has been employed in several prominent international competitions in automated reasoning, including SMT-COMP, SV-COMP, and Test-Comp, underscoring its importance in rigorous tool evaluation across various research domains. It helps to ensure both internal and external validity of the experimental results. This paper presents an overview of BenchCloud's architecture and high- lights its primary use cases in facilitating scalable benchmarking.
   Demonstration video: https://youtu.be/aBfQytqPm0U
   Running system: https://benchcloud.sosy-lab.org/
   BibTeX Entry

   @inproceedings{ASE24a, author = {Dirk Beyer and Po-Chun Chien and Marek Jankola}, title = {{BenchCloud}: {A} Platform for Scalable Performance Benchmarking}, booktitle = {Proc.\ ASE}, pages = {2386-2389}, year = {2024}, series = {}, publisher = {ACM}, doi = {10.1145/3691620.3695358}, sha256 = {c3eb7636c1bff66a75036bca409af98cbdaa961f032f5a0a4c121c6b7d343961}, url = {https://benchcloud.sosy-lab.org/}, pdf = {https://www.sosy-lab.org/research/pub/2024-ASE24.BenchCloud_A_Platform_for_Scalable_Performance_Benchmarking.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2024-10-30_ASE_BenchCloud_A_Platform_for_Scalable_Performance_Benchmarking_Po-Chun.pdf}, abstract = {Performance evaluation is a crucial method for assessing automated-reasoning tools. Evaluating automated tools requires rigorous benchmarking to accurately measure resource consumption, including time and memory, which are essential for understanding the tools' capabilities. BenchExec, a widely used benchmarking framework, reliably measures resource usage for tools executed locally on a single node. This paper describes BenchCloud, a solution for elastic and scalable job distribution across hundreds of nodes, enabling large-scale experiments on distributed and heterogeneous computing environments. BenchCloud seamlessly integrates with BenchExec, allowing BenchExec to delegate the actual execution to BenchCloud. The system has been employed in several prominent international competitions in automated reasoning, including SMT-COMP, SV-COMP, and Test-Comp, underscoring its importance in rigorous tool evaluation across various research domains. It helps to ensure both internal and external validity of the experimental results. This paper presents an overview of BenchCloud's architecture and high- lights its primary use cases in facilitating scalable benchmarking. <br> Demonstration video: <a href="https://youtu.be/aBfQytqPm0U">https://youtu.be/aBfQytqPm0U</a> <br> Running system: <a href="https://benchcloud.sosy-lab.org/">https://benchcloud.sosy-lab.org/</a>}, keyword = {Benchmarking, Competition on Software Verification (SV-COMP), Competition on Software Testing (Test-Comp)}, artifact = {10.5281/zenodo.13742756}, funding = {DFG-CONVEY, DFG-COOP}, video = {https://youtu.be/aBfQytqPm0U}, }
5. Dirk Beyer and Philipp Wendler. CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering. In Proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2020, Dublin, Ireland, April 25-30), part 2, LNCS 12079, pages 126-133, 2020. Springer. doi:10.1007/978-3-030-45237-7_8 Keyword(s): Benchmarking Publisher's Version PDF Presentation Video Supplement
   Abstract

   Verification algorithms are among the most resource-intensive computation tasks. Saving energy is important for our living environment and to save cost in data centers. Yet, researchers compare the efficiency of algorithms still in terms of consumption of CPU time (or even wall time). Perhaps one reason for this is that measuring energy consumption of computational processes is not as convenient as measuring the consumed time and there is no sufficient tool support. To close this gap, we contribute CPU Energy Meter, a small tool that takes care of reading the energy values that Intel CPUs track inside the chip. In order to make energy measurements as easy as possible, we integrated CPU Energy Meter into BenchExec, a benchmarking tool that is already used by many researchers and competitions in the domain of formal methods. As evidence for usefulness, we explored the energy consumption of some state-of-the-art verifiers and report some interesting insights, for example, that energy consumption is not necessarily correlated with CPU time.
   BibTeX Entry

   @inproceedings{TACAS20b, author = {Dirk Beyer and Philipp Wendler}, title = {CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering}, booktitle = {Proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS~2020, Dublin, Ireland, April 25-30), part 2}, pages = {126-133}, year = {2020}, series = {LNCS~12079}, publisher = {Springer}, doi = {10.1007/978-3-030-45237-7_8}, sha256 = {c5c8ad06f4b192e61799469a8fc6ca4661714aa2945e0ce07363a376ff06dcd7}, url = {https://www.sosy-lab.org/research/energy-measurement/}, presentation = {https://www.sosy-lab.org/research/prs/2021-03-31_TACAS20_CPU-Energy-Meter_Dirk.pdf}, abstract = {Verification algorithms are among the most resource-intensive computation tasks. Saving energy is important for our living environment and to save cost in data centers. Yet, researchers compare the efficiency of algorithms still in terms of consumption of CPU time (or even wall time). Perhaps one reason for this is that measuring energy consumption of computational processes is not as convenient as measuring the consumed time and there is no sufficient tool support. To close this gap, we contribute CPU Energy Meter, a small tool that takes care of reading the energy values that Intel CPUs track inside the chip. In order to make energy measurements as easy as possible, we integrated CPU Energy Meter into BenchExec, a benchmarking tool that is already used by many researchers and competitions in the domain of formal methods. As evidence for usefulness, we explored the energy consumption of some state-of-the-art verifiers and report some interesting insights, for example, that energy consumption is not necessarily correlated with CPU time.}, keyword = {Benchmarking}, video = {https://youtu.be/qzKAoBVTw2c}, }
6. Dirk Beyer, Stefan Löwe, and Philipp Wendler. Benchmarking and Resource Measurement. In B. Fischer and J. Geldenhuys, editors, Proceedings of the 22nd International Symposium on Model Checking of Software (SPIN 2015, Stellenbosch, South Africa, August 24-26), LNCS 9232, pages 160-178, 2015. Springer-Verlag, Heidelberg. doi:10.1007/978-3-319-23404-5_12 Keyword(s): Benchmarking Publisher's Version PDF Supplement
   Abstract

   Proper benchmarking and resource measurement is an important topic, because benchmarking is a widely-used method for the comparative evaluation of tools and algorithms in many research areas. It is essential for researchers, tool developers, and users, as well as for competitions. We formulate a set of requirements that are indispensable for reproducible benchmarking and reliable resource measurement of automatic solvers, verifiers, and similar tools, and discuss limitations of existing methods and benchmarking tools. Fulfilling these requirements in a benchmarking framework is complex and can (on Linux) currently only be done by using the cgroups feature of the kernel. We provide BenchExec, a ready-to-use, tool-independent, and free implementation of a benchmarking framework that fulfills all presented requirements, making reproducible benchmarking and reliable resource measurement easy. Our framework is able to work with a wide range of different tools and has proven its reliability and usefulness in the International Competition on Software Verification.
   BibTeX Entry

   @inproceedings{SPIN15a, author = {Dirk Beyer and Stefan L{\"o}we and Philipp Wendler}, title = {Benchmarking and Resource Measurement}, booktitle = {Proceedings of the 22nd International Symposium on Model Checking of Software (SPIN~2015, Stellenbosch, South Africa, August 24-26)}, editor = {B.~Fischer and J.~Geldenhuys}, pages = {160-178}, year = {2015}, series = {LNCS~9232}, publisher = {Springer-Verlag, Heidelberg}, isbn = {978-3-319-23403-8}, doi = {10.1007/978-3-319-23404-5_12}, url = {https://www.sosy-lab.org/research/benchmarking/}, pdf = {https://www.sosy-lab.org/research/pub/2015-SPIN.Benchmarking_and_Resource_Measurement.pdf}, abstract = {Proper benchmarking and resource measurement is an important topic, because benchmarking is a widely-used method for the comparative evaluation of tools and algorithms in many research areas. It is essential for researchers, tool developers, and users, as well as for competitions. We formulate a set of requirements that are indispensable for reproducible benchmarking and reliable resource measurement of automatic solvers, verifiers, and similar tools, and discuss limitations of existing methods and benchmarking tools. Fulfilling these requirements in a benchmarking framework is complex and can (on Linux) currently only be done by using the cgroups feature of the kernel. We provide BenchExec, a ready-to-use, tool-independent, and free implementation of a benchmarking framework that fulfills all presented requirements, making reproducible benchmarking and reliable resource measurement easy. Our framework is able to work with a wide range of different tools and has proven its reliability and usefulness in the International Competition on Software Verification.}, keyword = {Benchmarking}, annote = {An <a href="https://www.sosy-lab.org/research/bib/Year/2017.complete.html#Benchmarking-STTT">extended version</a> of this article appeared in STTT.}, }
   Additional Infos

   An extended version of this article appeared in STTT.

7. Tobias Maget. Evaluation of JVM Garbage Collectors for CPAchecker. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2024. Keyword(s): CPAchecker, Benchmarking PDF Presentation
   BibTeX Entry

   @misc{MagetEvaluationJVMGarbageCollectorsCPAchecker, author = {Tobias Maget}, title = {Evaluation of JVM Garbage Collectors for CPAchecker}, year = {2024}, pdf = {https://www.sosy-lab.org/research/bsc/2024.Maget.Evaluation_of_JVM_Garbage_Collectors_for_CPAchecker.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2024-10-23-BA_Evaluation_of_JVM_Garbage_Collectors_for_CPAchecker_Maget.pdf}, keyword = {CPAchecker, Benchmarking}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
8. Charlotte Gall. Updating the BenchExec Core Assignment for Modern CPU Architecture. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2023. Keyword(s): Benchmarking
   BibTeX Entry

   @misc{GallBenchexecCoreAssignment, author = {Charlotte Gall}, title = {Updating the BenchExec Core Assignment for Modern CPU Architecture}, year = {2023}, keyword = {Benchmarking}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
9. Tobias Kleinert. Developing a Verifier Based on Parallel Portfolio with CoVeriTeam. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2022. Keyword(s): Benchmarking PDF Presentation
   BibTeX Entry

   @misc{KleinertParPortfolioCoVeriTeam, author = {Tobias Kleinert}, title = {Developing a Verifier Based on Parallel Portfolio with \textsc{CoVeriTeam}}, year = {2022}, pdf = {https://www.sosy-lab.org/research/bsc/2022.Kleinert.Parallel_Portfolio_CoVeriTeam.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2022-03-16_BA_Parallel_Portfolio_CoVeriTeam.pdf}, keyword = {Benchmarking}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
10. Robin Gloster. Cgroups v2 Support for BenchExec. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2022. Keyword(s): Benchmarking PDF Presentation
    BibTeX Entry

    @misc{GlosterCgroupsV2, author = {Robin Gloster}, title = {Cgroups v2 Support for \textsc{BenchExec}}, year = {2022}, pdf = {https://www.sosy-lab.org/research/bsc/2022.Gloster.Cgroups_v2_Support_for_BenchExec.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2022-03-09_BA_Cgroups_v2_Support_for_BenchExec_Gloster.pdf}, keyword = {Benchmarking}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
11. Dennis Simon. Shareable Benchmarking Reports with Enhanced Filters and Dynamic Statistics for BenchExec. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2021. Keyword(s): Benchmarking PDF Presentation
    BibTeX Entry

    @misc{SimonBA, author = {Dennis Simon}, title = {Shareable Benchmarking Reports with Enhanced Filters and Dynamic Statistics for \textsc{BenchExec}}, year = {2021}, pdf = {https://www.sosy-lab.org/research/bsc/2021.Simon.Shareable_Benchmarking_Reports_with_Enhanced_Filters_and_Dynamic_Statistics_for_BenchExec.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2021-04-28_BA_ShareableBenchmarkingReportsWithEnhancedFiltersAndDynamicStatisticsForBenchExec_Simon.pdf}, keyword = {Benchmarking}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
12. Petros Isaakidis. Energy Consumption Prediction of Verification Work. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2020. Keyword(s): CPAchecker, Benchmarking, Energy Measurement
    BibTeX Entry

    @misc{IsaakidisEnergy, author = {Petros Isaakidis}, title = {Energy Consumption Prediction of Verification Work}, year = {2020}, keyword = {CPAchecker, Benchmarking, Energy Measurement}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
13. Maximilian Hailer. Measuring and Optimizing Energy Consumption of Verification Work on Clusters. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2019. Keyword(s): Benchmarking, Energy Measurement PDF Presentation
    BibTeX Entry

    @misc{HailerEnergy, author = {Maximilian Hailer}, title = {Measuring and Optimizing Energy Consumption of Verification Work on Clusters}, year = {2019}, pdf = {https://www.sosy-lab.org/research/bsc/2019.Hailer.Measuring_and_Optimizing_Energy_Consumption_of_Verification_Work_on_Clusters.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2019-10-30_BA_MeasuringAndOptimizingEnergyConsumptionOfVerificationWork_Hailer.pdf}, keyword = {Benchmarking, Energy Measurement}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
14. Laura Bschor. Modern Architecture and Improved UI for Tables of BenchExec. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2019. Keyword(s): Benchmarking PDF Presentation
    BibTeX Entry

    @misc{BschorTables, author = {Laura Bschor}, title = {Modern Architecture and Improved {UI} for Tables of {{\sc BenchExec}}}, year = {2019}, pdf = {https://www.sosy-lab.org/research/bsc/2019.Bschor.Modern_Architecture_and_Improved_UI_for_Tables_of_BenchExec.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2019-11-06_BA_ModernArchitectureAndImprovedUIforTablesOfBenchExec_Bschor.pdf}, keyword = {Benchmarking}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
15. Philipp Wendler. Towards Practical Predicate Analysis. PhD Thesis, University of Passau, Software Systems Lab, 2017. Keyword(s): Benchmarking, CPAchecker, Software Model Checking Publisher's Version PDF Presentation Supplement
    BibTeX Entry

    @misc{PhilippPredicateAnalysis, author = {Philipp Wendler}, title = {Towards Practical Predicate Analysis}, year = {2017}, url = {https://www.sosy-lab.org/research/phd/wendler/}, pdf = {https://www.sosy-lab.org/research/phd/2017.Wendler.Towards_Practical_Predicate_Analysis.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2017-11-20_RigorosumWendler_TowardsPracticalPredicateAnalysis.pdf}, keyword = {Benchmarking,CPAchecker,Software Model Checking}, annote = {Nominated for the <a href="https://gi.de/aktuelles/wettbewerbe/dissertationspreis/">Dissertation award 2017</a> of the German <a href="https://gi.de/">Gesellschaft f&uuml;r Informatik (GI)</a>}, howpublished = {PhD Thesis, University of Passau, Software Systems Lab}, urn = {urn:nbn:de:bvb:739-opus4-5098}, }
    Additional Infos

    Nominated for the Dissertation award 2017 of the German Gesellschaft für Informatik (GI)
16. Nils Steinger. Measuring, Visualizing, and Optimizing the Energy Consumption of Computer Clusters. Bachelor's Thesis, University of Passau, Software Systems Lab, 2017. Keyword(s): Benchmarking PDF Supplement
    BibTeX Entry

    @misc{SteingerMeasuring, author = {Nils Steinger}, title = {Measuring, Visualizing, and Optimizing the Energy Consumption of Computer Clusters}, year = {2017}, url = {https://www.sosy-lab.org/research/bsc/steinger}, pdf = {https://www.sosy-lab.org/research/bsc/2017.Steinger.Measuring,_Visualizing,_and_Optimizing_the_Energy_Consumption_of_Computer_Clusters.pdf}, keyword = {Benchmarking}, field = {Computer Science}, howpublished = {Bachelor's Thesis, University of Passau, Software Systems Lab}, }