Mag. Rudolf Ramler
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Rudolf Ramler is research manager for Software Science. He has more than 20 years of experience in software engineering research and managing application oriented research projects.
Research Interests
- Developing automated methods and tools for software testing and software analytics
- Risk-based approaches and defect prediction models to improve test management
- Engineering high-quality software systems
- Empirical & value-based software engineering research
Key Facts
- Managed 11 research projects on automated software testing, risk-based test management, defect prediction, value-based software engineering, and application lifecycle management
- Author of more than 100 reviewed publications
- Best paper awards: ACM SIGSOFT Distinguished Paper Award at ASE 2015, PROFES 2015, ICST 2017 Posters, SQWD 2017 & 2013, IWSM 2013
- Co-organizer of PROFES 2024, SWQD 2024, VST 2024-2018, TAIC PART 2017-2015, Euromicro SEAA 2022-2012, PC member of several international conferences and workshops
- ISTQB certified tester, ACM and IEEE member
- Tools developed for automated testing, software test management, regression test selection, quality analysis together with industry partners and vendors
- Lecturer at Vienna University of Technology (TU Wien), Johannes Kepler University Linz (JKU), and University for Applied Sciences of Upper Austria (FH Hagenberg)
Publikationen
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2024
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Challenges for Quantum Software Engineering: An Industrial Application Scenario Perspective
Carbonelli, C., Felderer, M., Jung, M., Lobe, E., Lochau, M., Luber, S., Mauerer, W., Ramler, R., Schaefer, I., & Schroth, C. (2024). Challenges for Quantum Software Engineering: An Industrial Application Scenario Perspective. Quantum Software, 311–335.
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Software Quality as a Foundation for Security: Proceedings of the 16th International Conference on Software Quality, SWQD 2024
Software Quality as a Foundation for Security. (2024). In P. Bludau, R. Ramler, D. Winkler, & J. Bergsmann (Eds.), Lecture Notes in Business Information Processing. Springer Nature Switzerland.
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An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Study
Fischer, S., Urbanke, P., Ramler, R., Steidl, M., & Felderer, M. (2024). An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Study. Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024).
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Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company
Schenkenfelder, B., Brandstätter, U., Fischer, L., Ramler, R., Laister, D., Hartl, M., & Wurm, M. (2024). Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company. Proceedings of the 2nd International Workshop on Responsible AI Engineering.
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Investigating the Readability of Test Code: Combining Scientific and Practical Views
Winkler, D., Urbanke, P., & Ramler, R. (2024). Investigating the readability of test code. Empirical Software Engineering, 29(2).
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Data Pipeline Quality: Influencing Factors, Root Causes of Data-related Issues, and Processing Problem Areas for Developers
Foidl, H., Golendukhina, V., Ramler, R., & Felderer, M. (2024). Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers. Journal of Systems and Software, 207, 111855.
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2023
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Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems
Zeinzinger, M., Langer, J., Eibensteiner, F., Petz, P., Drack, L., Dorfmeister, D., & Ramler, R. (2023). Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems. 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET).
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Getting QuantumReady: A Framework for Exploiting Quantum Computing in SMEs
Hillmich, S., Bruckner, S., Ferrarotti, F., & Ramler, R. (2023). Getting QuantumReady: A Framework for Exploiting Quantum Computing in SMEs. Munich Quantum Software Forum (MQSF 2023)
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Automation and Development Effort in Continuous AI Development: A Practitioners’ Survey
Steidl, M., Golendukhina, V., Felderer, M., & Ramler, R. (2023). Automation and Development Effort in Continuous AI Development: A Practitioners’ Survey. 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
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Towards Automatic Generation of Amplified Regression Test Oracles
Duque-Torres, A., Klammer, C., Pfahl, D., Fischer, S., & Ramler, R. (2023). Towards Automatic Generation of Amplified Regression Test Oracles. 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
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An Approach for Safe and Secure Software Protection Supported by Symbolic Execution
Dorfmeister, D., Ferrarotti, F., Fischer, B., Haslinger, E., Ramler, R., & Zimmermann, M. (2023). An Approach for Safe and Secure Software Protection Supported by Symbolic Execution. Communications in Computer and Information Science, 67–78.
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Model-based Testing for a Family of Mobile Applications: Industrial Experiences
Fischer, S., Ramler, R., Assunção, W. K. G., Egyed, A., Gradl, C., & Auberger, S. (2023). Model-based Testing for a Family of Mobile Applications. Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A.
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Examples of Long-Term Science-Industry Partnerships for Translational Computer Science
Travnicek, C., Nowak, V., Ramler, R., Fischer, L., & Bühler, K. (2023). Examples of Long-Term Science–Industry Partnerships for Translational Computer Science. Computing in Science & Engineering, 25(1), 52–56.
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Analysis of Library Dependency Networks of Package Managers Used in iOS Development
Rahkema, K., Pfahl, D., & Ramler, R. (2023). Analysis of Library Dependency Networks of Package Managers Used in iOS Development. 2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft).
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Applying a Genetic Algorithm for Test Suite Reduction in Industry
Stadler, P., Plösch, R., & Ramler, R. (2023). Applying a Genetic Algorithm for Test Suite Reduction in Industry. Lecture Notes in Business Information Processing, 63–83.
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Testing of Highly Configurable Cyber-Physical Systems - Results from a Two-Phase Multiple Case Study
Fischer, S., Klammer, C., Fernández, A. M. G., Rabiser, R., & Ramler, R. (2023). Testing of highly configurable cyber–physical systems — Results from a two-phase multiple case study. Journal of Systems and Software, 199, 111624.
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The Pipeline for the Continuous Development of Artificial Intelligence Models - Current State of Research and Practice
Steidl, M., Felderer, M., & Ramler, R. (2023). The pipeline for the continuous development of artificial intelligence models—Current state of research and practice. Journal of Systems and Software, 199, 111615.
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Designing a Test Model for a Configurable System: An Exploratory Study of Preprocessor Directives and Feature Toggles
Fischer, S., Michelon, G. K., Assunção, W. K. G., Ramler, R., & Egyed, A. (2023). Designing a Test Model for a Configurable System: An Exploratory Study of Preprocessor Directives and Feature Toggles. Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems.
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2022
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Preliminary Findings on the Occurrence and Causes of Data Smells in a Real-World Business Travel Data Processing Pipeline
Golendukhina, V., Foidl, H., Felderer, M., & Ramler, R. (2022). Preliminary findings on the occurrence and causes of data smells in a real-world business travel data processing pipeline. Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things.
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Requirements for Anomaly Detection Techniques for Microservices
Steidl, M., Gattringer, M., Felderer, M., Ramler, R., & Shahriari, M. (2022). Requirements for Anomaly Detection Techniques for Microservices. Lecture Notes in Computer Science, 37–52.
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How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
Shahriari, M., Ramler, R., & Fischer, L. (2022). How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models? Machine Learning and Knowledge Extraction, 4(4), 888–911.
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Database and Expert Systems Applications - DEXA 2022 Workshops, 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022
Kotsis, G., Tjoa, A. M., Khalil, I., Moser, B., Taudes, A., Mashkoor, A., Sametinger, J., Martinez-Gil, J., Sobieczky, F., Fischer, L., Ramler, R., Khan, M., & Czech, G. (Eds.). (2022). Database and Expert Systems Applications - DEXA 2022 Workshops. Communications in Computer and Information Science.
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Twenty Years of Successful Translational Research - A Case Study of Three COMET Centers
Bühler, K., Travniceck, C., Nowak, V., Weippl, E., Fischer, L., Ramler, R., & Wille, R. (2022). Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers. Database and Expert Systems Applications - DEXA 2022 Workshops, 155–166.
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Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems
Foidl, H., Felderer, M., & Ramler, R. (2022). Data smells. Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI.
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A Replication Study on Predicting Metamorphic Relations at Unit Testing Level
Duque-Torres, A., Pfahl, D., Ramler, R., & Klammer, C. (2022). A Replication Study on Predicting Metamorphic Relations at Unit Testing Level. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
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Artificial Intelligence and Software Engineering: Are We Ready?
Mashkoor, A., Menzies, T., Egyed, A., & Ramler, R. (2022). Artificial Intelligence and Software Engineering: Are We Ready? Computer, 55(3), 24–28.
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What do we know about readability of test code? - A Systematic Mapping Study
Winkler, D., Urbanke, P., & Ramler, R. (2022). What Do We Know About Readability of Test Code? - A Systematic Mapping Study. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
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Comparing Automated Reuse of Scripted Tests and Model-Based Tests for Configurable Software
Fischer, S., Ramler, R., & Linsbauer, L. (2021). Comparing Automated Reuse of Scripted Tests and Model-Based Tests for Configurable Software. 2021 28th Asia-Pacific Software Engineering Conference (APSEC).
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2021
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An automated evaluation of broker compatibility for the Message Queuing Telemetry Transport protocol
Sochor, H., Ferrarotti, F., & Ramler, R. (2021). An automated evaluation of broker compatibility for the Message Queuing Telemetry Transport protocol. Journal of Software: Evolution and Process. Portico.
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Test Benchmarks: Which One Now and in Future?
Artho, C., Benali, A., & Ramler, R. (2021). Test Benchmarks: Which One Now and in Future? 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS).
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KI in der Praxis: Key Challenges im System-Engineering
Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobieczky, F., Zellinger, W., & Moser, B. (2021) KI in der Praxis: Key Challenges im System-Engineering. ERP Future 2020 - Die Fachveranstaltung für Enterprise Systems in Österreich, 10. November 2020 in Hagenberg, Oberösterreich
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Adopting Microservices for Industrial Control Systems: A Five Step Migration Path
Buchgeher, G., Ramler, R., Stummer, H., & Kaufmann, H. (2021). Adopting Microservices for Industrial Control Systems: A Five Step Migration Path. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ).
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Integrating Usage Monitoring for Continuous Evaluation and Testing in the UI of an Industry Application
Fischer, S., Klammer, C., & Ramler, R. (2021). Integrating usage monitoring for continuous evaluation and testing in the UI of an industry application. Proceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation.
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Considerations for using Block-Based Languages for Industrial Robot Programming - a Case Study
Mayr-Dorn, C., Winterer, M., Salomon, C., Hohensinger, D., & Ramler, R. (2021). Considerations for using Block-Based Languages for Industrial Robot Programming - a Case Study. 2021 IEEE/ACM 3rd International Workshop on Robotics Software Engineering (RoSE).
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Automated Reuse of Test Cases for Highly Configurable Software Systems
Fischer, S., Michelon, G. K., Ramler, R. R., Linsbauer, L. & Egyed, A., (2021). Automated Reuse of Test Cases for Highly Configurable Software Systems. In: Koziolek, A., Schaefer, I. & Seidl, C. (Hrsg.), Software Engineering 2021. Bonn: Gesellschaft für Informatik e.V.. (S. 39-40).
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Testing of Highly Configurable Cyber-Physical Systems – A Multiple Case Study
Fischer, S., Ramler, R., Klammer, C., & Rabiser, R. (2021). Testing of Highly Configurable Cyber-Physical Systems – A Multiple Case Study. Proceedings of the 15th International Working Conference on Variability Modelling of Software-Intensive Systems.
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Quality Assurance for AI-based Systems: Overview and Challenges
Felderer, M., & Ramler, R. (2021). Quality Assurance for AI-Based Systems: Overview and Challenges (Introduction to Interactive Session). Lecture Notes in Business Information Processing, 33–42.
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2020
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AI System Engineering - Key Challenges and Lessons Learned
Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobiezky, F., Zellinger, W., Brunner, D., Kumar, M., & Moser, B. (2020). AI System Engineering—Key Challenges and Lessons Learned. Machine Learning and Knowledge Extraction, 3(1), 56–83.
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Using Rule Mining for Automatic Test Oracle Generation
Duque-Torres, A., Pfahl, D., Shalygina, A., & Ramler, R. (2020). Using Rule Mining for Automatic Test Oracle Generation. Proceedings of the 8th International Workshop on Quantitative Approaches to Software Quality co-located with 27th Asia-Pacific Software Engineering Conference (APSEC 2020), pages 21-28, ceur-ws.org, December 2020.
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An expert review on the applicability of blockly for industrial robot programming
Winterer, M., Salomon, C., Koberle, J., Ramler, R., & Schittengruber, M. (2020). An Expert Review on the Applicability of Blockly for Industrial Robot Programming. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
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An architecture for automated security test case generation for MQTT systems
Sochor, H., Ferrarotti, F., & Ramler, R. (2020). An Architecture for Automated Security Test Case Generation for MQTT Systems. Database and Expert Systems Applications, 48–62.
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Exploiting MQTT-SN for distributed reflection denial-of-service attacks
Sochor, H., Ferrarotti, F., & Ramler, R. (2020). Exploiting MQTT-SN for Distributed Reflection Denial-of-Service Attacks. Database and Expert Systems Applications, 74–81.
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Applying AI in practice: Key challenges and lessons learned
Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobieczky, F., Zellinger, W., & Moser, B. (2020). Applying AI in Practice: Key Challenges and Lessons Learned. Machine Learning and Knowledge Extraction, 451–471.
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Automated security test generation for MQTT using attack patterns
Sochor, H., Ferrarotti, F., & Ramler, R. (2020). Automated security test generation for MQTT using attack patterns. Proceedings of the 15th International Conference on Availability, Reliability and Security.
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Predicting survived and killed mutants
Duque-Torres, A., Doliashvili, N., Pfahl, D., & Ramler, R. (2020). Predicting Survived and Killed Mutants. 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
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Live replay of screen videos: Automatically executing real applications as shown in recordings
Ramler, R., Gattringer, M., & Pichler, J. (2020). Live Replay of Screen Videos: Automatically Executing Real Applications as Shown in Recordings. 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER).
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Proceedings of the 2020 IEEE 3rd International Workshop on Validation, Analysis, and Evolution of Software Tests (VST'20), IEEE, February 2020.
[Front cover]. (2020). 2020 IEEE Workshop on Validation, Analysis and Evolution of Software Tests (VST).
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Automated test reuse for highly configurable software
Fischer, S., Michelon, G. K., Ramler, R., Linsbauer, L., & Egyed, A. (2020). Automated test reuse for highly configurable software. Empirical Software Engineering, 25(6), 5295–5332.
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Software Competence Center Hagenberg: Wissens- und Technologietransfer in Software und Data Science
In M. Felderer, W. Hasselbring, R. Rabiser, R. Jung (Hrsg), Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik, Lecture Notes in Informatics - Proceedings Series of the Gesellschaft für Informatik (GI), volume P-300, pages 225-227, DOI 10.18420/SE2020_61, Gesellschaft für Informatik e.V., February 2020.
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Software Engineering: Forschung - Innovation - Transfer
Sauer, Stefan, & Ramler, Rudolf. (2020). Software Engineering: Forschung - Innovation - Transfer.
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2019
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Integrating threat modeling and automated test case generation into industrialized software security testing
Marksteiner, S., Ramler, R., & Sochor, H. (2019). Integrating Threat Modeling and Automated Test Case Generation into Industrialized Software Security Testing. Proceedings of the Third Central European Cybersecurity Conference.
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Enhancing acceptance test-driven development with model-based test generation
Ramler, R., & Klammer, C. (2019). Enhancing Acceptance Test-Driven Development with Model-Based Test Generation. 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C).
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Automating test reuse for highly configurable software
Fischer, S., Ramler, R., Linsbauer, L., & Egyed, A. (2019). Automating Test Reuse for Highly Configurable Software. Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A.
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Lessons learned from making the transition to model-based GUI testing
Ramler, R., Klammer, C., & Wetzlmaier, T. (2019). Lessons learned from making the transition to model-based GUI testing. Proceedings of the 10th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation.
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Benefits and drawbacks of representing and analyzing source code and software engineering artifacts with graph databases
Ramler, R., Buchgeher, G., Klammer, C., Pfeiffer, M., Salomon, C., Thaller, H., & Linsbauer, L. (2018). Benefits and Drawbacks of Representing and Analyzing Source Code and Software Engineering Artifacts with Graph Databases. Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud, 125–148.
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Why software testing fails: Common pitfalls observed in a critical smart metering project
Mohacsi, S., & Ramler, R. (2018). Why Software Testing Fails: Common Pitfalls Observed in a Critical Smart Metering Project. Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud, 73–92.