@inproceedings{26407,
  author       = {{Piskachev, Goran and Krishnamurthy, Ranjith and Bodden, Eric}},
  booktitle    = {{2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}},
  title        = {{{SecuCheck: Engineering configurable taint analysis for software developers}}},
  year         = {{2021}},
}

@inproceedings{22463,
  author       = {{Luo, Linghui and Schäf, Martin and Sanchez, Daniel and Bodden, Eric}},
  booktitle    = {{Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering}},
  title        = {{{IDE Support for Cloud-Based Static Analyses}}},
  year         = {{2021}},
}

@inproceedings{33840,
  author       = {{Karakaya, Kadiray and Bodden, Eric}},
  booktitle    = {{2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}},
  pages        = {{181–186}},
  title        = {{{SootFX: A Static Code Feature Extraction Tool for Java and Android}}},
  year         = {{2021}},
}

@inproceedings{26406,
  author       = {{Schubert, Philipp and Hermann, Ben and Bodden, Eric and Leer, Richard}},
  booktitle    = {{SCAM '21: IEEE International Working Conference on Source Code Analysis and Manipulation (Engineering Track)}},
  title        = {{{Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++}}},
  year         = {{2021}},
}

@inproceedings{22462,
  author       = {{Shivarpatna Venkatesh, Ashwin Prasad and Bodden, Eric}},
  booktitle    = {{International Workshop on AI and Software Testing/Analysis (AISTA)}},
  title        = {{{Automated Cell Header Generator for Jupyter Notebooks}}},
  doi          = {{10.1145/3464968.3468410}},
  year         = {{2021}},
}

@article{31132,
  author       = {{Dann, Andreas Peter and Plate, Henrik and Hermann, Ben and Ponta, Serena Elisa and Bodden, Eric}},
  issn         = {{0098-5589}},
  journal      = {{IEEE Transactions on Software Engineering}},
  keywords     = {{Software}},
  pages        = {{1--1}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Identifying Challenges for OSS Vulnerability Scanners - A Study & Test Suite}}},
  doi          = {{10.1109/tse.2021.3101739}},
  year         = {{2021}},
}

@inproceedings{26405,
  author       = {{Schubert, Philipp and Sattler, Florian and Schiebel, Fabian Benedikt and Hermann, Ben and Bodden, Eric}},
  booktitle    = {{2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}},
  title        = {{{Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++}}},
  year         = {{2021}},
}

@article{20507,
  author       = {{Geismann, Johannes and Bodden, Eric}},
  issn         = {{0164-1212}},
  journal      = {{Journal of Systems and Software}},
  pages        = {{110697}},
  title        = {{{A systematic literature review of model-driven security engineering for cyber–physical systems}}},
  doi          = {{https://doi.org/10.1016/j.jss.2020.110697}},
  volume       = {{169}},
  year         = {{2020}},
}

@inproceedings{20509,
  author       = {{Fischer, Andreas and Janneck, Jonas and Kussmaul, Jörn and Krätzschmar, Nikolas and Kerschbaum, Florian and Bodden, Eric}},
  booktitle    = {{2020 IEEE Computer Security Foundations Symposium (CSF)}},
  title        = {{{PASAPTO: Policy-aware Security and Performance Trade-off Analysis - Computation on Encrypted Data with Restricted Leakage}}},
  year         = {{2020}},
}

@inproceedings{20511,
  author       = {{Fischer, Andreas and Fuhry, Benny and Kerschbaum, Florian and Bodden, Eric}},
  booktitle    = {{Privacy Enhancing Technologies Symposium (PETS/PoPETS)}},
  title        = {{{Computation on Encrypted Data using Dataflow Authentication}}},
  year         = {{2020}},
}

@inproceedings{20512,
  author       = {{Krüger, Stefan and Ali, Karim and Bodden, Eric}},
  booktitle    = {{International Symposium on Code Generation and Optimization (CGO)}},
  pages        = {{185--198}},
  title        = {{{CogniCrypt_GEN - Generating Code for the Secure Usage of Crypto APIs}}},
  year         = {{2020}},
}

@phdthesis{20513,
  abstract     = {{Frühere Studien haben empirisch offenbart, dass Fehlbenutzungen von kryptographischen APIs in Softwareanwendungen weitverbreitet sind. Dies geschieht vor allem, weil Software-Entwickler_innen aufgrund schlechten API-Designs und fehlenden Kryptographiewissens Probleme bekommen, wenn sie versuchen kryptographische Features zu implementieren. Die Literatur liefert mehrere Ansätze und Vorschläge diese Probleme zu lösen, aber alle scheitern schlussendlich auf die eine oder andere Weise daran die Anforderungen der Entwickler_innenzu erfüllen. Das Resultat ist eine insgesamt lückenhafte Landschaft verschiedener nur wenigkomplementärer Ansätze.In dieser Arbeit adressieren wir das Problem kryptographischer Fehlbenutzungen systematischer durch CogniCrypt. CogniCrypt integriert verschiedene Arten von Tool Supportin einen gemeinsamen Ansatz, der Entwickler_innen davon befreit wissen zu müssen, wie diese APIs benutzt werden müssen. Zentral für unseren Ansatz ist CrySL, eine Beschreibungssprache,die die kognitive Lücke zwischen Kryptographie-Expert_innen und Software-Entwickler_innenüberbrückt. CrySL ermöglicht es Kryptographie-Expert_innen zu spezifizeren, wie die APIs,die sie bereitstellen, richtig benutzt werden. Wir haben einen Compiler für CrySL implementiert, der es erlaubt auf CrySL-Spezifikationen aufbauenden Tool Support zu entwickeln. Wir haben weiterhin die statische Analyse CogniCrypt_SAST und den Code-Generator CogniCrypt_GEN entwickelt. Schlussendlich haben wir CogniCrypt prototypisch implementiert und diesen Prototyp in einem kontrollierten Experiment evaluiert.
}},
  author       = {{Krüger, Stefan}},
  publisher    = {{Universitaetsbibliothek Paderborn}},
  title        = {{{CogniCrypt -- The Secure Integration of Cryptographic Software}}},
  year         = {{2020}},
}

@inproceedings{20518,
  author       = {{Koch, Thorsten and Dziwok, Stefan and Holtmann, Jörg and Bodden, Eric}},
  booktitle    = {{ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS ’20)}},
  publisher    = {{ACM}},
  title        = {{{Scenario-based Specification of Security Protocols and Transformation to Security Model Checkers}}},
  doi          = {{10.1145/3365438.3410946}},
  year         = {{2020}},
}

@phdthesis{20521,
  author       = {{Gerking, Christopher}},
  publisher    = {{Paderborn University}},
  title        = {{{Model-Driven Information Flow Security Engineering for Cyber-Physical Systems}}},
  doi          = {{10.17619/UNIPB/1-1033}},
  year         = {{2020}},
}

@techreport{20712,
  author       = {{Schubert, Philipp and Bodden, Eric and Hermann, Ben}},
  title        = {{{Accelerating Static Call-Graph, Points-to and Data-Flow Analysis Through Persisted Summaries}}},
  year         = {{2020}},
}

@inbook{20891,
  abstract     = {{Today, software systems are rarely developed monolithically, but may be composed of numerous individually developed features. Their modularization facilitates independent development and verification. While feature-based strategies to verify features in isolation have existed for years, they cannot address interactions between features. The problem with feature interactions is that they are typically unknown and may involve any subset of the features. Contrary, a family-based verification strategy captures feature interactions, but does not scale well when features evolve frequently. To the best of our knowledge, there currently exists no approach with focus on evolving features that combines both strategies and aims at eliminating their respective drawbacks. To fill this gap, we introduce Fefalution, a feature-family-based verification approach based on abstract contracts to verify evolving features and their interactions. Fefalution builds partial proofs for each evolving feature and then reuses the resulting partial proofs in verifying feature interactions, yielding a full verification of the complete software system. Moreover, to investigate whether a combination of both strategies is fruitful, we present the first empirical study for the verification of evolving features implemented by means of feature-oriented programming and by comparing Fefalution with another five family-based approaches varying in a set of optimizations. Our results indicate that partial proofs based on abstract contracts exhibit huge reuse potential, but also come with a substantial overhead for smaller evolution scenarios.
}},
  author       = {{Knüppel, Alexander and Krüger, Stefan and Thüm, Thomas and Bubel, Richard and Krieter, Sebastian and Bodden, Eric and Schaefer, Ina}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783030643539}},
  issn         = {{0302-9743}},
  title        = {{{Using Abstract Contracts for Verifying Evolving Features and Their Interactions}}},
  doi          = {{10.1007/978-3-030-64354-6_5}},
  year         = {{2020}},
}

@inproceedings{23376,
  author       = {{Piskachev, Goran and Nguyen Quang Do, Lisa and Johnson, Oshando and Bodden, Eric}},
  booktitle    = {{2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)}},
  title        = {{{SWAN_ASSIST: Semi-Automated Detection of Code-Specific, Security-Relevant Methods}}},
  doi          = {{10.1109/ase.2019.00110}},
  year         = {{2020}},
}

@inbook{23377,
  author       = {{Piskachev, Goran and Petrasch, Tobias and Späth, Johannes and Bodden, Eric}},
  booktitle    = {{Lecture Notes in Computer Science}},
  issn         = {{0302-9743}},
  title        = {{{AuthCheck: Program-State Analysis for Access-Control Vulnerabilities}}},
  doi          = {{10.1007/978-3-030-54997-8_34}},
  year         = {{2020}},
}

@inproceedings{20510,
  author       = {{Benz, Manuel and Krogh Kristensen, Erik and Luo, Linghui and P. Borges Jr., Nataniel and Bodden, Eric and Zeller, Andreas}},
  booktitle    = {{International Conference for Software Engineering (ICSE)}},
  title        = {{{Heaps'n Leaks: How Heap Snapshots Improve Android Taint Analysis}}},
  year         = {{2020}},
}

@article{20508,
  author       = {{Nguyen Quang Do, Lisa and Bodden, Eric}},
  journal      = {{IEEE Transactions on Software Engineering}},
  title        = {{{Explaining Static Analysis with Rule Graphs}}},
  year         = {{2020}},
}