Dr.-Ing.

André van Hoorn

Researcher (Akademischer Rat)
Institute of Software Technology
Reliable Software Systems Research Group
[Photo: University of Stuttgart]

Contact

+49 711 685-88252
+49 711 685-88472

Universitätsstraße 38
70569 Stuttgart
Deutschland
Room: 1.332

  1. 2020

    1. Avritzer, A., Ferme, V., Janes, A., Russo, B., van Hoorn, A., Schulz, H., Menasché, D., & Rufino, V. (2020). Scalability Assessment of Microservice Architecture Deployment Configurations: A Domain-based Approach Leveraging Operational Profiles and Load Tests. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2020.110564
    2. Gias, A. U., van Hoorn, A., Zhu, L., Casale, G., Düllmann, T. F., & Wurster, M. (2020). Performance Engineering for Microservices and Serverless Applications: The RADON Approach. Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE 2020). https://doi.org/10.1145/3375555.3383120
    3. Schulz, H., & van Hoorn, A. (2020). Representative Load Testing in Continuous Software Engineering: Automation and Maintenance Support. Software Engineering 2020, Fachtagung Des GI-Fachbereichs Softwaretechnik, P-300, 149--150. https://doi.org/10.18420/SE2020\_46
    4. Eismann, S., Bezemer, C.-P., Shang, W., van Hoorn, A., & Okanović, D. (2020). Microservices: A Performance Tester’s Dream or Nightmare? Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE 2020).
    5. Okanovic, D., Beck, S., Merz, L., Zorn, C., Merino, L., van Hoorn, A., & Beck, F. (2020). Can a Chatbot Support Software Engineers with Load Testing? Approach and Experiences. Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE 2020).
    6. Schulz, H., van Hoorn, A., & Wert, A. (2020). Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations. Software Testing, Verification & Reliability, 30(1), Article 1. https://doi.org/10.1002/stvr.1712
    7. Brataas, G., Hanssen, G. K., Herbst, N., & van Hoorn, A. (2020). Agile Scalability Engineering: The ScrumScale Method. IEEE Software.
  2. 2019

    1. Schulz, H., Angerstein, T., Okanović, D., & van Hoorn, A. (2019). Microservice-tailored Generation of Session-based Workload Models for Representative Load Testing. Proceedings of the 27th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2019).
    2. Heiden, S., Grunske, L., Kehrer, T., Keller, F., van Hoorn, A., Filieri, A., & Lo, D. (2019). An Evaluation of Pure Spectrum-Based Fault Localization Techniques for Large-Scale Software Systems. Software: Practice and Experience, 49(8), 1197–1224. https://doi.org/10.1002/spe.2703
    3. Casale, G., Artac, M., van den Heuvel, W.-J., van Hoorn, A., Jakovits, P., Leymann, F., Long, M., Papanikolaou, V., Presenza, D., Russo, A., Srirama, S. N., Tamburri, D. A., Wurster, M., & Zhu, L. (2019). RADON: Rational Decomposition and Orchestration for Serverless Computing. Software-Intensive Cyber-Physical Systems.
    4. Bougouffa, S., Busch, K., Heinrich, R., van Hoorn, A., Konersmann, M., Seifermann, S., Taspolatoglu, E., Ocker, F., Vargas, C., Pirehgalin, M. F., Reussner, R. H., & Vogel-Heuser, B. (2019). Managed Software Evolution (By R. H. Reussner, M. Goedicke, W. Hasselbring, B. Vogel-Heuser, J. Keim, & L. Märtin; R. H. Reussner, M. Goedicke, W. Hasselbring, B. Vogel-Heuser, J. Keim, & L. Märtin, Eds.; pp. 335--374). Springer. https://doi.org/10.1007/978-3-030-13499-0\_12
    5. Thüm, T., van Hoorn, A., Apel, S., Bürdek, J., Getir, S., Heinrich, R., Jung, R., Kowal, M., Lochau, M., Schaefer, I., & Walter, J. (2019). Managed Software Evolution (By R. H. Reussner, M. Goedicke, W. Hasselbring, B. Vogel-Heuser, J. Keim, & L. Märtin; R. H. Reussner, M. Goedicke, W. Hasselbring, B. Vogel-Heuser, J. Keim, & L. Märtin, Eds.; pp. 175--206). Springer. https://doi.org/10.1007/978-3-030-13499-0\_8
    6. Brataas, G., Hanssen, G. K., Herbst, N., & van Hoorn, A. (2019). Agile Scalability Engineering: The ScrumScale Method. IEEE Software.
    7. Getir, S., van Hoorn, A., Kehrer, T., Noller, Y., & Tichy, M. (2019). Supporting Semi-Automatic Co-Evolution of Architecture and Fault Tree Models. Software Engineering 2019, 57--58. https://doi.org/10.18420/se2019-13
    8. Schulz, H., Okanovic, D., van Hoorn, A., Ferme, V., & Pautasso, C. (2019). Behavior-driven Load Testing Using Contextual Knowledge---Approach and Experiences. Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2019), 265--272. https://doi.org/10.1145/3297663.3309674
    9. Paule, C., Düllmann, T. F., & van Hoorn, A. (2019). Vulnerabilities in Continuous Delivery Pipelines? A Case Study. Proceedings of the 2019 IEEE International Conference on Software Architecture (ICSA 2019), 102--108. https://doi.org/10.1109/ICSA-C.2019.00026
    10. Avritzer, A., Menasché, D. S., Rufino, V., Russo, B., Janes, A., Ferme, V., van Hoorn, A., & Schulz, H. (2019). PPTAM: Production and Performance Testing Based Application Monitoring. Companion Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2019), 39--40. https://doi.org/10.1145/3302541.3311961
    11. Bezemer, C.-P., Eismann, S., Ferme, V., Grohmann, J., Heinrich, R., Jamshidi, P., Shang, W., van Hoorn, A., Villaviencio, M., Walter, J., & Willnecker, F. (2019). How is Performance Addressed in DevOps? A Survey on Industrial Practices. Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2019), 45--50. https://doi.org/10.1145/3297663.3309672
    12. Okanović, D., van Hoorn, A., Zorn, C., Beck, F., Ferme, V., & Walter, J. (2019). Concern-driven Reporting of Software Performance Analysis Results. Companion Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2019), 1--4. https://doi.org/10.1145/3302541.3313103
    13. Schulz, H., van Hoorn, A., & Wert, A. (2019). Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations. Software Testing, Verification & Reliability.
  3. 2018

    1. Heger, C., van Hoorn, A., Okanović, D., Siegl, S., Vögele, C., & Wert, A. (2018). diagnoseIT: Expertengestützte automatische Diagnose von Performance-Problemen in Enterprise-Anwendungen (Abschlussbericht). https://arxiv.org/abs/1802.00056
    2. Bezemer, C.-P., Eismann, S., Ferme, V., Grohmann, J., Heinrich, R., Jamshidi, P., Shang, W., van Hoorn, A., Villaviencio, M., Walter, J., & Willnecker, F. (2018). How is Performance Addressed in DevOps? A Survey on Industrial Practices. CoRR, abs/1808.06915. http://arxiv.org/abs/1808.06915
    3. van Hoorn, André, & Siegl, S. (2018). Application Performance Management: Measuring and Optimizing the Digital Customer Experience. SIGS DATACOM GmbH. http://dx.doi.org/10.18419/opus-10332
    4. van Hoorn, André, Aleti, A., Düllmann, T. F., & Pitakrat, T. (2018). ORCAS: Efficient Resilience Benchmarking of Microservice Architectures. Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering (ISSRE 2018), 146--147.
    5. Getir, S., Grunske, L., van Hoorn, A., Kehrer, T., Noller, Y., & Tichy, M. (2018). Supporting semi-automatic co-evolution of architecture and fault tree models. Journal of Systems and Software, 142, 115--135. https://doi.org/10.1016/j.jss.2018.04.001
    6. Wolter, K., Knottenbelt, W. J., van Hoorn, A., & Nambiar, M. (Eds.). (2018b). Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018 (By K. Wolter, W. J. Knottenbelt, A. van Hoorn, & M. Nambiar). ACM. https://doi.org/10.1145/3184407
    7. Vögele, C., van Hoorn, A., Schulz, E., Hasselbring, W., & Krcmar, H. (2018). WESSBAS: Extraction of Probabilistic Workload Specifications for Load Testing and Performance Prediction---A Model-Driven Approach for Session-Based Application Systems. Journal on Software and System Modeling (SoSyM), 17(2), 443--477. https://doi.org/10.1007/s10270-016-0566-5
    8. Avritzer, A., Ferme, V., Janes, A., Russo, B., Schulz, H., & van Hoorn, A. (2018). A quantitative approach for the assessment of microservice architecture deployment alternatives using automated performance testing. Proceedings of the 12th European Conference on Software Architecture (ECSA 2018).
    9. Wolter, K., Knottenbelt, W. J., van Hoorn, A., & Nambiar, M. (Eds.). (2018a). Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018 (By K. Wolter, W. J. Knottenbelt, A. van Hoorn, & M. Nambiar). ACM. http://dl.acm.org/citation.cfm?id=3185768
    10. Düllmann, T. F., Paule, C., & van Hoorn, A. (2018). Exploiting DevOps Practices for Dependable and Secure Continuous Delivery Pipelines. Proceedings of the 4th International Workshop on Rapid Continuous Software Engineering (RCoSE 2018) @ ICSE 2018.
    11. Pitakrat, T., Okanović, D., van Hoorn, A., & Grunske, L. (2018). Hora: Architecture-aware online failure prediction. Journal of Systems and Software, 137, 669--685. http://dx.doi.org/10.1016/j.jss.2017.02.041
    12. Xie, T., van Hoorn, A., Wang, H., & Weber, I. (2018). Introduction to the Special Issue on Emerging Software Technologies for Internet-Based Systems: Internetware and DevOps. ACM Trans. Internet Techn., 18(2), 13:1--13:2. https://doi.org/10.1145/3173572
    13. Pitakrat, T., Okanovic, D., van Hoorn, A., & Grunske, L. (2018). Architecture-Aware Online Failure Prediction for Distributed Software Systems. Software Engineering 2018, 121--122.
    14. Schulz, H., Angerstein, T., & van Hoorn, A. (2018). Towards Automating Representative Load Testing in Continuous Software Engineering. Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2018) Companion (7th International Workshop on Load Testing and Benchmarking of Software Systems, LTB 2018). https://doi.org/10.1145/3185768.3186288
    15. Trubiani, C., Bran, A., van Hoorn, A., Avritzer, A., & Knoche, H. (2018). Exploiting Load Testing and Profiling for Performance Antipattern Detection. Information and Software Technology, 95, 329--345. https://doi.org/10.1016/j.infsof.2017.11.016
    16. Aleti, A., Trubiani, C., van Hoorn, A., & Jamshidi, P. (2018). An Efficient Method for Uncertainty Propagation in Robust Software Performance Estimation. Journal of Systems and Software, 138, 222--235. https://doi.org/10.1016/j.jss.2018.01.010
    17. Sáez, S. G., Andrikopoulos, V., Bitsaki, M., Leymann, F., & van Hoorn, A. (2018). Utility-based Decision Making for Migrating Cloud-based Applications. ACM Transactions on Internet Technology, 18(2), 22:1--22:22. http://doi.acm.org/10.1145/3140545
  4. 2017

    1. Ardagna, D., Casale, G., Nitto, E. D., van Hoorn, A., Leitner, P., & Willnecker, F. (2017). Message from the QUDOS@ICPE ’17 Chairs. Companion of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE ’17).
    2. van Hoorn, André, Vögele, C., Hasselbring, W., & Krcmar, H. (2017). A Unified Model-Driven Approach for Extracting and Generating Workload Specifications for Load Testing and Performance Prediction of Application Systems. Software Engineering 2017, 97--98.
    3. Angerbauer, K., Okanović, D., van Hoorn, A., & Heger, C. (2017). The Back End is Only One Part of the Picture: Mobile-Aware Application Performance Monitoring and Problem Diagnosis. Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2017).
    4. Heger, C., van Hoorn, A., Mann, M., & Okanović, D. (2017). Application Performance Management: State of the Art and Challenges for the Future. Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE ’17), 429--432. https://doi.org/10.1145/3030207.3053674
    5. Walter, J., van Hoorn, A., & Kounev, S. (2017). Automated and Adaptable Decision Support for Software Performance Engineering. Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2017).
    6. Heinrich, R., van Hoorn, A., Knoche, H., Li, F., Lwakatare, L. E., Pahl, C., Schulte, S., & Wettinger, J. (2017). Performance Engineering for Microservices: Research Challenges and Directions. Companion of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE ’17), 223--226. https://doi.org/10.1145/3053600.3053653
    7. Düllmann, T. F. \, Heinrich, R., van Hoorn, A., Pitakrat, T., Walter, J., & Willnecker, F. (2017). CASPA: A Platform for Comparability of Architecture-based Software Performance Engineering Approaches. Proceedings of the 2017 IEEE International Conference on Software Architecture (ICSA 2017), 294--297. https://doi.org/10.1109/ICSAW.2017.26
    8. Düllmann, T. F., & van Hoorn, A. (2017). Model-driven Generation of Microservice Architectures for Benchmarking Performance and Resilience Engineering Approaches. Companion of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE ’17), 171--172. https://doi.org/10.1145/3053600.3053627
    9. Rago, A., Vidal, S., Diaz-Pace, J. A., Frank, S., & van Hoorn, A. (2017). Distributed Quality-Attribute Optimization of Software Architectures. Proceedings of the 11th Brazilian Symposium on Software Components, Architectures, and Reuse (SBCARS 2017), 7:1--7:10. https://doi.org/10.1145/3132498.3132509
    10. van Hoorn, Andre, Jamshidi, P., Leitner, P., & Weber, I. (Eds.). (2017). Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World (By Andre van Hoorn, P. Jamshidi, P. Leitner, & I. Weber).
    11. Keller, F., Grunske, L., Heiden, S., Filieri, A., van Hoorn, A., & Lo, D. (2017). A Critical Evaluation of Spectrum-Based Fault Localization Techniques on a Large-Scale Software System. Proceedings of the 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS 2017), 114--125. https://doi.org/10.1109/QRS.2017.22
  5. 2016

    1. Ardagna, D., Casale, G., van Hoorn, A., & Willnecker, F. (Eds.). (2016). Proceedings of the 2nd International Workshop on Quality-Aware DevOps (QUDOS 2016) (By D. Ardagna, G. Casale, A. van Hoorn, & F. Willnecker). ACM.
    2. Hasselbring, W., Becker, S., van Hoorn, A., Kounev, S., & Reussner, R. (Eds.). (2016). Proceedings of the 7th Symposium on Software Performance (SSP) (By W. Hasselbring, S. Becker, A. van Hoorn, S. Kounev, & R. Reussner). Gesellschaft für Informatik e.V.
    3. Walter, J., van Hoorn, A., Koziolek, H., Okanovic, D., & Kounev, S. (2016). Asking ``What?’’, Automating the ``How?’’: The Vision of Declarative Performance Engineering. Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016), 91--94. http://dx.doi.org/10.1145/2851553.2858662
    4. Keller, F., Völter, M., van Hoorn, A., & Birken, K. (2016). Leveraging Palladio for Performance Awareness in the IETS3 Integrated Specification Environment. Proceedings of the 7th Symposium on Software Performance (SSP ’16).
    5. Keck, P., van Hoorn, A., Okanović, D., Pitakrat, T., & Düllmann, T. F. (2016). Antipattern-Based Problem Injection for Assessing Performance and Reliability Evaluation Techniques. Proceedings of the IEEE 27th International Symposium on Software Reliability Engineering Workshops (ISSREW 2016), 8th International Workshop on Software Aging and Rejuvenation (WoSAR 2016), 64–70. https://doi.org/10.1109/ISSREW.2016.36
    6. Heger, C., van Hoorn, A., Okanović, D., Siegl, S., & Wert, A. (2016). Expert-Guided Automatic Diagnosis of Performance Problems in Enterprise Applications. Proceedings of the 12th European Dependable Computing Conference (EDCC ’16), 185–188. https://doi.org/10.1109/EDCC.2016.16
    7. Okanović, D., van Hoorn, A., Heger, C., Wert, A., & Siegl, S. (2016). Towards Performance Tooling Interoperability: An Open Format for Representing Execution Traces. Proceedings of the 13th European Workshop on Performance Engineering (EPEW ’16), 94--108. https://doi.org/10.1007/978-3-319-46433-6_7
    8. Pitakrat, T., Okanović, D., van Hoorn, A., & Grunske, L. (2016). An Architecture-aware Approach to Hierarchical Online Failure Prediction. Proceedings of the 12th International ACM SIGSOFT Conference on the Quality of Software Architectures (QoSA ’16), 60--69.
  6. 2015

    1. Ardagna, D., Brunnert, A., Casale, G., & van Hoorn, A. (Eds.). (2015). Proceedings of the 1st International Workshop on Quality-Aware DevOps (QUDOS 2015) (By D. Ardagna, A. Brunnert, G. Casale, & A. van Hoorn). ACM.
    2. Vögele, C., van Hoorn, A., & Krcmar, H. (2015). Automatic Extraction of Session-Based Workload Specifications for Architecture-Level Performance Models. Proceedings of the 4th International Workshop on Large-Scale Testing (LT 2015), Co-Located with ACM/SPEC ICPE 2015, 5--8. http://dx.doi.org/10.1145/2693182.2693183
    3. Hasselbring, W., & van Hoorn, A. (2015). Open-Source Software as Catalyzer for Technology Transfer: Kieker’s Development and Lessons Learned (TR-1508; Issue TR-1508). Department of Computer Science, Kiel University, Germany.
    4. Pitakrat, T., Grunert, J., Kabierschke, O., Keller, F., & van Hoorn, A. (2015). A Framework for System Event Classification and Prediction by Means of Machine Learning. EAI Endorsed Trans. Self-Adaptive Systems, 1(3), e3. https://doi.org/10.4108/icst.valuetools.2014.258197
    5. Brunnert, A., van Hoorn, A., Willnecker, F., Danciu, A., Hasselbring, W., Heger, C., Herbst, N., Jamshidi, P., Jung, R., von Kistowski, J., Koziolek, A., Kroß, J., Spinner, S., Vögele, C., Walter, J., & Wert, A. (2015). Performance-oriented DevOps: A Research Agenda (SPEC-RG-2015-01; Issue SPEC-RG-2015-01). SPEC Research Group --- DevOps Performance Working Group, Standard Performance Evaluation Corporation (SPEC). http://research.spec.org/fileadmin/user_upload/documents/wg_rgdevops/endorsed_publications/SPEC-RG-2015-001-DevOpsPerformanceResearchAgenda.pdf
    6. Vögele, C., Heinrich, R., Heilein, R., van Hoorn, A., & Krcmar, H. (2015). Modeling Complex User Behavior with the Palladio Component Model. Proceedings of the Symposium on Software Performance 2015 (SSP ’15), 59--61.
    7. Brunnert, A., Becker, S., Hasselbring, W., van Hoorn, A., Kounev, S., Krcmar, H., & Reussner, R. (Eds.). (2015). Proceedings of the Symposium on Software Performance: Joint Descartes/Kieker/Palladio Days 2015 (By A. Brunnert, S. Becker, W. Hasselbring, A. van Hoorn, S. Kounev, H. Krcmar, & R. Reussner). Gesellschaft für Informatik e.V.
    8. van Hoorn, André, Vögele, C., Schulz, E., Hasselbring, W., & Krcmar, H. (2015). Automatic Extraction of Probabilistic Workload Specifications for Load Testing Session-Based Application Systems. EAI Endorsed Trans. Self-Adaptive Systems, 1(3), e5. https://doi.org/10.4108/icst.valuetools.2014.258171
  7. 2014

    1. Proceedings of the Symposium on Software Performance: Joint Descartes/Kieker/Palladio Days 2014, Stuttgart, Germany, November 26-28, 2014. (2014). In S. Becker, W. Hasselbring, A. van Hoorn, S. Kounev, & R. Reussner (Eds.), Technical Report Computer Science: Vol. 2014/05. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
    2. Fittkau, F., van Hoorn, A., & Hasselbring, W. (2014). Towards a Dependability Control Center for Large Software Landscapes. Proceedings of the 10th European Dependable Computing Conference (EDCC~’14), 58--61. http://dx.doi.org/10.1109/EDCC.2014.12
    3. van Hoorn, André. (2014). Model-Driven Online Capacity Management for Component-Based Software Systems. In Kiel Computer Science Series (2014/6; Issue 2014/6). Department of Computer Science, Kiel University.
    4. Pitakrat, T., Grunert, J., Kabierschke, O., Keller, F., & van Hoorn, A. (2014). A Framework for System Event Classification and Prediction by Means of Machine Learning. Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools (ValueTools 2014), 173--180. http://dx.doi.org/10.4108/icst.valuetools.2014.258197
    5. Pitakrat, T., van Hoorn, A., & Grunske, L. (2014). Increasing Dependability of Component-based Software Systems by Online Failure Prediction. Proceedings of the 10th European Dependable Computing Conference (EDCC~’14), 78--81. http://dx.doi.org/10.1109/EDCC.2014.28
    6. Schulz, E., Goerigk, W., Hasselbring, W., van Hoorn, A., & Knoche, H. (2014a). Model-Driven Load and Performance Test Engineering in DynaMod. Softwaretechnik-Trends, 34(2), Article 2.
    7. Schulz, E., Goerigk, W., Hasselbring, W., van Hoorn, A., & Knoche, H. (2014b). Model-Driven Load and Performance Test Engineering in DynaMod. Proceedings of the Workshop on Model-Based and Model-Driven Software Modernization (MMSM~’14), 10--11.
    8. van Hoorn, André, Vögele, C., Schulz, E., Hasselbring, W., & Krcmar, H. (2014). Automatic Extraction of Probabilistic Workload Specifications for Load Testing Session-Based Application Systems. Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools (ValueTools 2014), 139--146. http://dx.doi.org/10.4108/icst.valuetools.2014.258171
  8. 2013

    1. Okanović, D., van Hoorn, A., Konjović, Z., & Vidaković, M. (2013). SLA-Driven Adaptive Monitoring of Distributed Applications for Performance Problem Localization. Computer Science and Information Systems (ComSIS), 10(10), 26--51. https://doi.org/10.2298/CSIS110926037O
    2. Pitakrat, T., van Hoorn, A., & Grunske., L. (2013). A Comparison of Machine Learning Algorithms for Proactive Hard Disk Drive Failure Detection. Proceedings of the 4th International ACM SIGSOFT Symposium on Architecting Critical Systems (ISARCS~2013), 1--10. http://dx.doi.org/10.1145/2465470.2465473
    3. Getir, S., van Hoorn, A., Grunske, L., & Tichy, M. (2013). Co-Evolution of Software Architecture and Fault Tree models: An Explorative Case Study on a Pick and Place Factory Automation System. In S. Bernardi, M. Bosković, & J. Merseguer (Eds.), Proceedings of the 5th International Workshop on Non-functional Properties in Modeling (NIM-ALP) (pp. 32--40).
    4. Proceedings of the Symposium on Software Performance: Joint Kieker/Palladio Days 2013, Karlsruhe, Germany, November 27-29, 2013. (2013). In S. Becker, W. Hasselbring, A. van Hoorn, & R. Reussner (Eds.), KPDAYS (Vol. 1083). CEUR-WS.org.
    5. van Hoorn, André, Frey, S., Goerigk, W., Hasselbring, W., Knoche, H., Köster, S., Krause, H., Porembski, M., Stahl, T., Steinkamp, M., & Wittmüss, N. (2013). DynaMod: Dynamische Analyse für modellgetriebene Software-Modernisierung (TR-1305; Issue TR-1305). Department of Computer Science, Kiel University, Germany.
  9. 2012

    1. Frey, S., van Hoorn, A., Jung, R., Kiel, B., & Hasselbring, W. (2012). MAMBA: Model-Based Analysis Utilizing OMG’s SMM. Proceedings of the 14th Workshop Software-Reengineering (WSR~’12), 37--38.
    2. Knoche, H., van Hoorn, A., Goerigk, W., & Hasselbring, W. (2012b). Automated Source-Level Instrumentation for Dynamic Dependency Analysis of COBOL systems. Proceedings of the 14th Workshop Software-Reengineering (WSR~’12), 33--34.
    3. van Hoorn, André, Waller, J., & Hasselbring, W. (2012). Kieker: A Framework for Application Performance Monitoring and Dynamic Software Analysis. Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE~’12), 247--248. https://doi.org/10.1145/2188286.2188326
    4. Knoche, H., van Hoorn, A., Goerigk, W., & Hasselbring, W. (2012a). Automated Source-Level Instrumentation for Dynamic Dependency Analysis of COBOL systems. Softwaretechnik-Trends, 32(2), 45--46.
    5. Huber, N., van Hoorn, A., Koziolek, A., Brosig, F., & Kounev, S. (2012). S/T/A: Meta-modeling Run-time Adaptation in Component-Based System Architectures. Proceedings of the 9th IEEE International Conference on E-Business Engineering (ICEBE~2012), 70--77. https://doi.org/10.1109/ICEBE.2012.21
  10. 2011

    1. van Hoorn, André, Knoche, H., Goerigk, W., & Hasselbring, W. (2011b). Model-Driven Instrumentation for Dynamic Analysis of Legacy Software Systems. Proceedings of the 13th Workshop Software-Reengineering (WSR~’11), 26--27.
    2. Ehlers, J., van Hoorn, A., Waller, J., & Hasselbring, W. (2011). Self-Adaptive Software System Monitoring for Performance Anomaly Localization. Proceedings of the 8th IEEE/ACM International Conference on Autonomic Computing (ICAC~2011).
    3. van Hoorn, André, Knoche, H., Goerigk, W., & Hasselbring, W. (2011a). Model-Driven Instrumentation for Dynamic Analysis of Legacy Software Systems. Softwaretechnik-Trends, 31(2), 18--19. http://pi.informatik.uni-siegen.de/stt/31_2/01_Fachgruppenberichte/sre/09-vanhoorn.pdf
    4. Okanović, D., van Hoorn, A., Konjović, Z., & Vidaković, M. (2011). Towards Adaptive Monitoring of Java\,EE Applications. Proceedings of the 5th International Conference on Information Technology~(ICIT~2011).
    5. Frey, S., van Hoorn, A., Jung, R., Hasselbring, W., & Kiel, B. (2011). MAMBA: A Measurement Architecture for Model-Based Analysis (TR-1112; Issue TR-1112). Department of Computer Science, University of Kiel, Germany.
    6. von Massow, R., van Hoorn, A., & Hasselbring, W. (2011). Performance Simulation of Runtime Reconfigurable Component-Based Software Architectures. Proceedings of the 5th European Conference on Software Architecture (ECSA~’11), 6903, 43--58. https://doi.org/10.1007/978-3-642-23798-0_5
    7. van Hoorn, André, Frey, S., Goerigk, W., Hasselbring, W., Knoche, H., Köster, S., Krause, H., Porembski, M., Stahl, T., Steinkamp, M., & Wittmüss, N. (2011). DynaMod Project: Dynamic Analysis for Model-Driven Software Modernization. Joint Proceedings of the 1st International Workshop on Model-Driven Software Migration (MDSM~2011) and the 5th International Workshop on Software Quality and Maintainability (SQM~2011), 708, 12--13.
  11. 2010

    1. von Massow, R., van Hoorn, A., & Hasselbring, W. (2010). Performance Simulation of Runtime Reconfigurable Component-Based Software Architectures (TR-1015; Issue TR-1015, p. 9~pages). Department of Computer Science, University of Kiel, Germany. http://www.informatik.uni-kiel.de/uploads/tx_publication/tr_1015.pdf
    2. Rohr, M., van Hoorn, A., Hasselbring, W., Lübcke, M., & Alekseev, S. (2010). Workload-Intensity-Sensitive Timing Behavior Analysis for Distributed Multi-User Software Systems. 1st Joint WOSP/SIPEW International Conference on Performance Engineering~(WOSP/SIPEW~’10), 87--92. https://doi.org/10.1145/1712605.1712621
  12. 2009

    1. van Hoorn, André. (2009). Adaptive Capacity Management for the Resource-Efficient Operation of Component-Based Software Systems. Proceedings of the 2008 Dependability Metrics Research Workshop, Technical Report TR-2009-002, 7--11.
    2. Marwede, N. S., Rohr, M., van Hoorn, A., & Hasselbring, W. (2009). Automatic Failure Diagnosis Support in Distributed Large-Scale Software Systems based on Timing Behavior Anomaly Correlation. Proceedings of the 13th European Conference on Software Maintenance and Reengineering (CSMR~’09), 47--57. https://doi.org/10.1109/CSMR.2009.15
    3. van Hoorn, André, Hasselbring, W., & Rohr, M. (2009). Engineering and Continuously Operating Self-Adaptive Software Systems: Required Design Decisions. Design for Future 2009: Proceedings of the 1st Workshop of the GI Working Group ,,Long-Living Software Systems~(L2S2)’’, 537, 52--63.
    4. van Hoorn, André, Rohr, M., Hasselbring, W., Waller, J., Ehlers, J., Frey, S., & Kieselhorst, D. (2009). Continuous Monitoring of Software Services: Design and Application of the Kieker Framework (TR-0921; Issue TR-0921, p. 27~pages). Department of Computer Science, University of Kiel, Germany.
  13. 2008

    1. Gul, I. A., Sommer, N., Rohr, M., van Hoorn, A., & Hasselbring, W. (2008). Evaluation of Control Flow Traces in Software Applications for Intrusion Detection. Proceedings of the 12th IEEE International Multitopic Conference (IEEE INMIC 2008), 373--378. https://doi.org/10.1109/INMIC.2008.4777765
    2. Rohr, M., van Hoorn, A., Giesecke, S., Matevska, J., & Hasselbring, W. (2008). Trace-Context-Sensitive Performance Models from Monitoring Data of Software-intensive Systems. In C. Lebsack (Ed.), Proceedings of the Workshop on Tools, Infrastructures, and Methodologies for the Evaluation of Research Systems (TIMERS ’08) at IEEE International Symposium on Performance Analysis of Systems and Software 2008 (ISPASS ’08) (pp. 37--44).
    3. van Hoorn, André, Rohr, M., & Hasselbring, W. (2008). Generating Probabilistic and Intensity-Varying Workload for Web-Based Software Systems. Proceedings of the SPEC International Performance Evaluation Workshop 2008 (SIPEW~’08), 5119, 124--143. https://doi.org/10.1007/978-3-540-69814-2_9
    4. Rohr, M., van Hoorn, A., Giesecke, S., Matevska, J., Hasselbring, W., & Alekseev, S. (2008). Trace-context sensitive performance profiling for enterprise software applications. In S. Kounev, I. Gorton, & K. Sachs (Eds.), Performance Evaluation --- Metrics, Models and Benchmarks: Proceedings of the SPEC International Performance Evaluation Workshop 2008 (SIPEW ’08) (Vol. 5119, pp. 283--302). Springer. https://doi.org/10.1007/978-3-540-69814-2_18
  14. 2007

    1. van Hoorn, André. (2007). Workload-sensitive Timing Behavior Anomaly Detection in Large Software Systems.

 

Since 01/2013

University of Stuttgart, Inst. of Software Technology, Reliable Software Systems

Interim professor (W3) and head of Reliable Software Systems Group (10/2015-02/2017), Akademischer Rat (since 11/2014), PostDoc

10/2014

PhD in Computer Science (with distinction) from Kiel University

10/2008-12/2012

Kiel University, Department of Computer Science, Software Engineering Group

Research assistant/PhD student

10/2007-12/2010

University of Oldenburg, Department of Computer Science, Software Engineering Group and DFG GK Trustworthy Software Systems

Research assistant/PhD student (scholarship holder)

09/2007

Master in Computer Science (Dipl.-Inform.) from University of Oldenburg

10/2002-09/2007

University of Oldenburg

Studies of Computer Science
(06-10/2006 studies abroad at University of California, Riverside, CA, USA)

 

  • Software performance and reliability engineering
    • Performance modeling, testing, measurement/monitoring, and evaluation
    • Workload characterization and workload generation
    • Online performance and resource management
    • Interoperability between APM and SPE methods, techniques, and tools
    • Quality-aware DevOps
  • Software architecture
    • Component-based, Web-based software systems, microservices
    • Quality of Service (particularly, performance and resource efficiency)
    • Runtime reconfiguration/adaptation, Self-*
  • Software reengineering
    • Dynamic and hybrid software analysis
    • Extraction of architectural models and usage profiles
    • Architecture-based software modernization

Organization

Positions

Reviewing/PC Memberships (Selection)

 
  • ACM – Association for Computing Machinery
  • GI – German Informatics Society (Gesellschaft für Informatik e.V.)
  • Infos – Informatik-Forum Stuttgart
  • OLDIES – Alumni association of the Dept. of Computer Science, Univ. Oldenburg
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