klaes.org

BOOKS / CHAPTER OF BOOKS

• Bandyszak, T., Jöckel, L., Kläs, M., Törsleff, S., Weyer, T., Wirtz, B., “Handling Uncertainty in Collaborative Embedded Systems Engineering,” in: Böhm W., Broy M., Klein C., Pohl K., Rumpe B., Schröck S. (eds) Model-Based Engineering of Collaborative Embedded Systems. Springer, Cham., 2021. ISBN 978-3-030-62135-3.
• Kläs, M., “HyDEEP: Transparent Combination of Measurement and Expert Data for Defect Predictions,” Fraunhofer Verlag, 296 p., 2017. ISBN 978-3-8396-1149-4.
• Heidrich, J., Rombach, D., Kläs, M., “Model-Based Quality Management of Software Development Projects,” in: Software Project Management in a Changing World (eds. Ruhe, G. and Wohlin, C.), Springer, pp. 125–156, 2014.
• Rombach, D., Kläs, M., Webel, C., “Measuring the Impact of Emergence in Business Applications,” Future Business Software (eds. G. Brunetti et al.), Progress in IS, Springer, pp. 25–37, 2014.
• Kläs, M., Trendowicz, A., Wickenkamp, A., Münch, J., Kikuchi, N., Ishigai, Y., “The Use of Simulation Techniques for Hybrid Software Cost Estimation and Risk Analysis,” Advances in Computers, Academic Press, vol. 74, pp. 115–174, 2008 (online version).

JOURNAL AND MAGAZINE PAPERS

• Adler, R., Kläs, M., “Sicherheit bei KI-Systemen,” KANBrief 3/22, Kommission Arbeitsschutz und Normung, 2022.
• Kläs, M., Adler, R., Heidrich, J., „Testen im Zeitalter von KI,“ Informatik Aktuell, Alkmene Verlag, 2020.
• Kalenborn, A., Kläs, M., Schmitt, H., „Erfahrungsbasierte Aufwandsschätzung - Kalkulation mit der Abakus Methode,“ Windows Developer 4.18, S&S Median, 2018.
• Kalenborn, A., Kläs, M., Schmitt, H., „Kalkulation mit der Abakus-Methode - Erfahrungsbasierte Aufwandsschätzung,“ Entwickler Magazin 2.18, S&S Median, 2018.
• Kalenborn, A., Kläs, M., Schmitt, H., „Erfahrungsbasierte Aufwandsschätzung - Softwareprojekte zuverlässig und erfolgreich kalkulieren,“ Entwickler Magazin 4.17, S&S Median, 2017.
• Wagner, S., Goeb, A., Heinemann, L., Kläs, M., Lampasona, C., Lochmann, K., Mayr, A., Plösch, R., Seidlf, A., Streit, J., Trendowicz, A., "Operationalised product quality models and assessment: The Quamoco approach," Information and Software Technology, Elsevier, vol. 62, pp. 101-123, 2015. DOI: 10.1016/j.infsof.2015.02.009
• Schubert, C., Kläs, M., Wagner, S. „Softwarequalität erfassen und vergleichen: Von der Messung bis zum abstrakten Qualitätsattribut,“ OBJEKTspektrum, SIGS DATACOM, no. 1, pp. 50-55, 2014.
• Kläs, M., Nakao, H., Elberzhager, E., Münch, J., “Support Planning and Controlling of Early Quality Assurance by Combining Expert Judgment and Defect Data - A Case Study,” Empirical Software Engineering Journal, vol. 15, no. 4, pp. 423-454, Springer, 2010. DOI: 10.1007/s10664-009-9112-1
• Wagner, S., Broy, M., Deißenböck, F., Kläs, M., Liggesmeyer, P., Münch, J., Streit, J. „Softwarequalitätsmodelle. Praxisempfehlungen und Forschungsagenda,“ Informatik Spektrum, vo. 33, no. 1, Springer, pp. 37-44, 2010. DOI: 10.1007/s00287-009-0339-4

CONFERENCE PAPERS

• Jöckel, L., Kläs, M., Popp, G., Hilger, N., Fricke, S., “Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice,” Submitted to European Dependable Computing Conference (EDCC 2024), Leuven, Belgium, 2024. (arxiv.org/abs/2311.05245).
• Jöckel, L., Kläs, M., Groß, J., Gerber, P., et al., “Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning,” Proceedings of International Conference on Product-Focused Software Process Improvement (PROFES 2023), Dornbirn, Austria, 2023.
• Adler, R., Kläs, M., “Assurance Cases as Foundation Stone for Auditing AI-Enabled and Autonomous Systems: Workshop Results and Political Recommendations for Action from the ExamAI Project,” Proceeding of HCI International 2022 – Late Breaking Papers: HCI for Today's Community and Economy (HCII 2022), 2022. DOI:10.1007/978-3-031-18158-0_21
  
• Groß, J., Adler, R., Kläs, M., Reich, J., Jöckel, L., Gansch, R., “Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception,” Proceedings of International Conference on Computer Safety, Reliability and Security (SAFECOMP 2022), Munich, Germany, 2022.
  
• Jöckel, L., Bauer, T., Kläs, M., Hauer, M., Groß, J.,"Towards a Common Testing Terminology for Software Engineering and Data Science Experts," Proceedings of International Conference on Product-Focused Software Process Improvement (PROFES 2021), Turin, Italy, Springer, 2021.
  
• Kläs, M., Adler, R., Sorokos, I., Jöckel, L., Reich, J.,"Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour," Proceedings of European Dependable Computing Conference (EDCC 2021), Munich, Germany, IEEE, 2021.
  
• Jöckel, L., Kläs, M., "Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates," Proceedings of International Conference on Computer Safety, Reliability and Security (SAFECOMP 2021), York, UK, 2021.
  
• Jöckel, L., Kläs, M., "Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-Data Generation using Application Scope Characteristics," Proceedings of International Conference on Computer Safety, Reliability and Security (SAFECOMP 2019), Turku, Finland, 2019.
  
• Kläs, M., Putz, W., Lutz, T., "Quality Evaluation for Big Data - A Scalable Assessment Approach and First Evaluation Results," Proceedings of International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM/Mensura 2016), Berlin, Germany, IEEE, pp. 10, 2016, DOI: tbd.
  
• Kläs, M., Bauer, T., Dereani, A., Söderqvist, T., Helle, P., "A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing," Proceedings of 37th International Conference on Software Engineering (ICSE 2015), Florence, Italy, IEEE, pp. 119-128, 2015, DOI: 10.1109/ICSE.2015.141.
  
• Lampasona, C., Kläs, M., Mayr, A., Göb, A., Saft, M., "Early Validation of Software Quality Models with respect to Minimality and Completeness: An Empirical Analysis," Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2013), Shaker, pp. 123-132, 2013.
  
• Kläs, M., Bauer, T., Tiberi, U., "Beyond Herding Cats: Aligning Quantitative Technology Evaluation in Large-Scale Research Projects," Proceedings of 14th International Conference on Product-Focused Software Development and Process Improvement (PROFES 2013), Paphos, Cyprus, Springer, pp. 80-92, 2013.
  
• Mayr, A., Plösch, R., Kläs, M., Lampasona, C., Saft, M., "A Comprehensive Code-based Quality Model for Embedded Systems - Systematic Development and Validation by Industrial Projects," Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2012), Dallas, USA, November 27-30th, IEEE, 2012.
  
• Lampasona, C., Kläs, M., "Application Scenarios and Guidelines for Quality Model Adaptation," Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2012), Shaker, pp. 3-18, 2012.
  
• Wagner, S., Lochmann, K., Heinemann, L., Kläs, M., Trendowicz, A., Plösch, R., Seidl, A., Goeb, A., Streit, J., "The Quamoco Product Quality Modelling and Assessment Approach," Proceedings of the 34th International Conference on Software Engineering (ICSE 2012), Zurich, Switzerland, June 2-9th, ACM/IEEE, pp. 1133-1142, 2012.
  
• Kläs, M.,Trendowicz, A., Ishigai, Y., Nakao, H., "Handling Estimation Uncertainty with Bootstrapping: Empirical Evaluation in the Context of Hybrid Prediction Methods," Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement (ESEM 2011), Banff, Canada, September 22-23, ACM/IEEE, 2011.
  
• Kläs, M., Lampasona, C., Münch, J., "Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results," Proceedings of the 37th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA 2011), August 30 to September 2, Oulu, Finland, IEEE Computer Society, 2011.
• Kläs M., Lampasona, C., Nunnenmacher, S., Wagner, S., Herrmannsdörfer, M., Lochmann, K., "How to Evaluate Meta-Models for Software Quality?," Proceedings of the joined International Conferences on Software Measurement. IWSM/MetriKon/Mensura 2010, Shaker, pp. 443-462, 2010.
• Trendowicz, A., Kläs, M., Lampasona, C., Münch, J., Körner, C., Saft, M., "Model-based Product Quality Evaluation with Multi-Criteria Decision Analysis," Proceedings of the joined International Conferences on Software Measurement. IWSM/MetriKon/Mensura 2010, Shaker, pp. 3-20, 2010.
• Kläs, M., Elberzhager, F., Münch, J., Hartjes, K., von Graevemeyer, O., “Transparent Combination of Expert and Measurement Data for Defect Prediction – An Industrial Case Study,” Proceedings of the 32nd International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa, May 2-8, vol. 2, ACM New York, pp. 119-128, 2010. ^b
• Lampasona, C., Trendowicz, A., Kläs, M., Heidrich, J., “Measurement-based Software Quality Evaluation,” Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2009), Shaker, pp. 3-16, 2009.
• Wagner, S., Lochmann, K., Winter, S., Goeb, A., Kläs, M., “Quality Models in Practice. A Preliminary Analysis,” Proceedings of 3rd International Symposium on Empirical Software Engineering and Measurement (ESEM 2009), IEEE Computer Society, 2009.
• Kläs, M., Heidrich, J., Münch, J., Trendowicz, A., “CQML Scheme: A Classification Scheme for Comprehensive Quality Model Landscapes,” Proceedings of the 35th EUROMICRO Conference Software Engineering and Advanced Applications (SEAA 2009), IEEE Computer Society, pp. 243-250, 2009.
• Kläs, M., Elberzhager, F., Lengen, R. van, Schulz, T., Goebbels, J., “A Framework for the Balanced Optimization of Quality Assurance Strategies Focusing on Small and Medium Sized Enterprises,” Proceedings of the 35th EUROMICRO Conference Software Engineering and Advanced Applications (SEAA 2009), IEEE Computer Society, pp. 335-342, 2009.
• Kläs, M., Nakao, H., Elberzhager, F., Münch, J., “Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study,” 19th International Symposium on Software Reliability Engineering (ISSRE), IEEE Computer Society, pp. 17-26, 2008. (awarded as the Best Paper among 116 submissions)
• Kläs, M., Elberzhager, F., Nakao, H., “Managing Software Quality through a Hybrid Defect Content and Effectiveness Model,” 2nd International Symposium on Empirical Software Engineering and Measurement (ESEM 2008), ACM Press, pp. 321-323, 2008. ^a
• Kläs, M., Ciolkowski, M., Schulz, T., Goebbels, J., “Prozessverbesserung über Fehlerstrommessung bei einem mittelständischen Unternehmen,” Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2007), Shaker, pp. 29-46, 2007.

WORKSHOP PAPERS

• Jöckel, L., Kläs, M., Groß, J., Gerber, P., “Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?” Proceedings of WAISE 2023 at International Conference on Computer Safety, Reliability and Security (SAFECOMP 2023), Toulouse, France, 2023.
• Groß, J., Kläs, M., Jöckel, L., Gerber, P., “Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning,” Proceedings of International Conference on Dependable Systems and Networks Workshops (DSN-W), Porto, Portugal, 2023.
• Gerber, P., Jöckel, L., Kläs, M., “A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models,” Proceedings of Artificial Intelligence Safety (SafeAI 2022), 2022.
• Kläs, M., Adler, R., Jöckel, L., Gross, J., Reich, J.,"Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components," AISaftey 2021 at International Joint Conference on Artifical Intelligence (IJCAI), Montreal, Candada, 2021.
• Kläs, M., Jöckel, L., "A Framework for Building Uncertainty Wrappers for AI/ML-based Data-Driven Components," WAISE 2020 at Computer Safety, Reliability, and Security (SAFECOMP 2020), Lisbon, Portuga, 2020.
• Kläs, M., Sembach, L., "Uncertainty Wrappers for Data-driven Models - Increase the Transparency of AI/ML-based Models through Enrichment with Dependable Situation-aware Uncertainty Estimates," WAISE 2019 at Computer Safety, Reliability, and Security (SAFECOMP 2019), Turku, Finland, 2019.
• Kläs, M., Vollmer, A. M., "Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty," WAISE 2018 at Computer Safety, Reliability, and Security (SAFECOMP 2018), Västerås, Sweden, 2018.
• Kläs, M., Elberzhager, F., "Managing Development Using Active Data Collection," International Workshop on Managing Quality in Agile and Rapid Software Development Processes (QuASD 2017), Innsbruck, Austria, pp. 543-547, 2017.
• Kalenborn, A., Hess, A., Kläs, M., Schmitt, H., "Experience-Based Calculation of Software Projects," Work in Progress Session of the 43rd EUROMICRO Conference Software Engineering and Advanced Applications (SEAA 2017), Wien, Austria, 2017.
• Kläs, M., Lochmann, K., Heinemann, L., "Evaluating a Quality Model for Software Product Assessments - A Case Study," 4. Workshop zur Software-Qualitätsmodellierung und -bewertung (SQMB 2011), Karlsruhe, Germany, pp. 14-24, 2011.
• Lampasona, C., Kläs, M., "Supporting the Adaptation of Software Quality Models - An Empirical Investigation," 4. Workshop zur Software-Qualitätsmodellierung und -bewertung (SQMB 2011), Karlsruhe, Germany, pp. 35-45, 2011.
• Kläs M., Lampasona, C., Trendowicz, A., Münch, J., “Goal-oriented Adaptation of Software Quality Models,” 3. Workshop zur Software-Qualitätsmodellierung und -bewertung (SQMB 2010), Paderborn, Germany, pp. 4-11, 2010 .
• Kläs, M., Trendowicz, A., Heidrich, J., Armbrust, O., “3MQM: A Maturity Model for Model-based Quality Management,” 3. Workshop zur Software-Qualitätsmodellierung und -bewertung (SQMB 2010), Paderborn, Germany, pp. 32-39, 2010 .
• Kläs, M., Heidrich, J., Münch, J., Trendowicz, A., “Comprehensive Landscapes for Software-related Quality Models,” Tagungsband 2. Workshop zur Software-Qualitätsmodellierung und -bewertung (SQMB 2009), Kaiserslautern, Germany, pp. 4-11, 2009.
• Kläs, M., “A Method for Building Hybrid Defect Content and Effectiveness Models for Managing Software Quality,” Proceedings of 3rd International Doctoral Symposium on Empirical Software Engineering, Kaiserslautern, Germany, pp. 7-12, 2008.
• Kläs, M., Münch, J., “Balancing Upfront Definition and Customization of Quality Models,” Tagungsband Workshop zur Software-Qualitätsmodellierung und -bewertung (SQMB 2008), München, Germany, pp. 26-30, 2008.

SELECTED REPORTS

• Kläs, M., Jöckel, L., Adler, R., Reich, J., “Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components,” 2022.
• Adler, R., Akram, M., Bauer, P., Feth, P., Gerber, P., Jedlitschka, A., Jöckel, L., Kläs, M., Schneider, D., “Hardening of Artificial Neural Networks for Use in Safety-Critical Applications -- A Mapping Study,” https://arxiv.org/abs/1909.03036, 2019.
• Kläs, M., “Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview,” https://arxiv.org/abs/1811.11669, 2018.
• Kläs, M., Trendowicz, A., Heidrich, J., Wickenkamp, A., “Das CAST-AIP-Qualitätsmodell,” Fraunhofer IESE, 2015.
• Wagner, S., Lochmann, K., Winter, S., Goeb, A., Kläs, M., Nunnenmacher, S., “Software Quality in Practice - Survey Results,” available: https://quamoco.in.tum.de/wordpress/wp-content/uploads/2010/01/Software_Quality_Models_in_Practice.pdf, 2010.
• Klaes, M., Beletski, T., Sarishvili, A., “AP 3.1: Effektivität von QS-Maßnahmen Stand der Wissenschaft,” Fraunhofer IESE-Report 096.07/D, Kaiserslautern, 2007.

Notes

^a © ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ESEM’08, October 9–10, 2008, Kaiserslautern, Germany. http://doi.acm.org/10.1145/1414004.1414067

^b © ACM, 2010. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering 2010, Cape Town, South Africa, http://doi.acm.org/10.1145/1810295.1810313