default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAlexander Pretschner
Walter Alexander Pretschner
Person information
- affiliation: Technical University Munich, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j40]Werner Damm
, David Hess, Mark Schweda, Janos Sztipanovits, Klaus Bengler, Bianca Biebl, Martin Fränzle, Willem Hagemann, Moritz Held, Klas Ihme, Severin Kacianka, Alyssa J. Kerscher, Sebastian Lehnhoff, Andreas Lüdtke, Alexander Pretschner, Astrid Rakow, Jochem W. Rieger, Daniel Sonntag, Maike Schwammberger, Benedikt Austel, Anirudh Unni, Eric M. S. P. Veith:
A Reference Architecture of Human Cyber-Physical Systems - Part I: Fundamental Concepts. ACM Trans. Cyber Phys. Syst. 8(1): 2:1-2:32 (2024)- [j39]Klaus Bengler, Werner Damm, Andreas Lüdtke, Jochem W. Rieger, Benedikt Austel, Bianca Biebl, Martin Fränzle, Willem Hagemann, Moritz Held, David Hess, Klas Ihme, Severin Kacianka, Alyssa J. Kerscher, Forrest Laine, Sebastian Lehnhoff, Alexander Pretschner, Astrid Rakow, Daniel Sonntag, Janos Sztipanovits, Maike Schwammberger, Mark Schweda, Anirudh Unni, Eric M. S. P. Veith:
A References Architecture for Human Cyber Physical Systems, Part II: Fundamental Design Principles for Human-CPS Interaction. ACM Trans. Cyber Phys. Syst. 8(1): 3:1-3:27 (2024) - [j38]Werner Damm, Martin Fränzle, Alyssa J. Kerscher, Forrest Laine, Klaus Bengler, Bianca Biebl, Willem Hagemann, Moritz Held, David Hess, Klas Ihme, Severin Kacianka, Sebastian Lehnhoff, Andreas Lüdtke, Alexander Pretschner, Astrid Rakow, Jochem W. Rieger, Daniel Sonntag, Janos Sztipanovits, Maike Schwammberger, Mark Schweda, Alexander Trende, Anirudh Unni, Eric M. S. P. Veith:
A Reference Architecture of Human Cyber-Physical Systems - Part III: Semantic Foundations. ACM Trans. Cyber Phys. Syst. 8(1): 4:1-4:23 (2024) - [j37]Thomas Hutzelmann, Dominik Mauksch, Ana Petrovska, Alexander Pretschner:
Generation of Tailored and Confined Datasets for IDS Evaluation in Cyber-Physical Systems. IEEE Trans. Dependable Secur. Comput. 21(4): 3948-3962 (2024) - [c178]Alexandros Tsakpinis, Alexander Pretschner:
Analyzing the Accessibility of GitHub Repositories for PyPI and NPM Libraries. EASE 2024: 345-350 - [c177]Fabian Leinen, Alexander Perathoner, Alexander Pretschner:
On the Impact of Hitting System Resource Limits on Test Flakiness. FTW@ICSE 2024: 14-19 - [c176]Fabian Leinen, Daniel Elsner, Alexander Pretschner, Andreas Stahlbauer, Michael Sailer, Elmar Jürgens:
Cost of Flaky Tests in Continuous Integration: An Industrial Case Study. ICST 2024: 329-340 - [c175]David K. Marson, Diana Deldar, Alexander Pretschner:
System-Level Test Case Generation and Execution for Distributed Cooperative Unmanned Aerial Systems. IV 2024: 1060-1067 - [c174]Tiziano Munaro, Irina Muntean, Alexander Pretschner:
A Failure Model Library for Simulation-Based Validation of Functional Safety. SAFECOMP 2024: 18-32 - [i37]Alexandros Tsakpinis, Alexander Pretschner:
Analyzing the Accessibility of GitHub Repositories for PyPI and NPM Libraries. CoRR abs/2404.17403 (2024) - 2023
- [j36]Valentin Zieglmeier, Gabriel Loyola Daiqui, Alexander Pretschner:
Decentralized Inverse Transparency with Blockchain. Distributed Ledger Technol. Res. Pract. 2(3): 1-28 (2023) - [j35]Valentin Zieglmeier, Alexander Pretschner:
Rethinking People Analytics With Inverse Transparency by Design. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-29 (2023) - [j34]Yuri Gil Dantas, Tiziano Munaro, Carmen Cârlan, Vivek Nigam, Simon Barner, Shiqing Fan, Alexander Pretschner, Ulrich Schöpp, Sergey Tverdyshev:
A Toolchain for Synthesizing and Validating Safety Architectures. SN Comput. Sci. 4(4): 335 (2023) - [c173]Patrick Stöckle, Michael Sammereier, Bernd Grobauer, Alexander Pretschner:
Better Safe Than Sorry! Automated Identification of Functionality-Breaking Security-Configuration Rules. AST 2023: 90-100 - [c172]Alexander Pretschner, Florian Hauer, Tabea Schmidt:
On Scenario-Based Testing of Cyber-Physical Systems. Applicable Formal Methods for Safe Industrial Products 2023: 68-82 - [c171]Daniel Elsner, Severin Kacianka, Stephan Lipp, Alexander Pretschner, Axel Habermann, Maria Graber, Silke Reimer:
BinaryRTS: Cross-language Regression Test Selection for C++ Binaries in CI. ICST 2023: 327-338 - [c170]Roland Wuersching, Daniel Elsner, Fabian Leinen, Alexander Pretschner, Georg Grueneissl, Thomas Neumeyr, Tobias Vosseler:
Severity-Aware Prioritization of System-Level Regression Tests in Automotive Software. ICST 2023: 398-409 - [c169]Simon Hundsdorfer, Daniel Elsner, Alexander Pretschner:
DIRTS: Dependency Injection Aware Regression Test Selection. ICST 2023: 422-432 - [c168]Stephan Lipp, Daniel Elsner, Severin Kacianka, Alexander Pretschner, Marcel Böhme, Sebastian Banescu:
Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction. ISSTA 2023: 127-139 - [c167]Nicola Kolb, Tabea Schmidt, Joachim Fröhlich, Alexander Pretschner:
When to Apply Scenario-Based Testing to a New System Domain? ITSC 2023: 399-404 - [c166]Patrick Stöckle, Theresa Wasserer, Bernd Grobauer, Alexander Pretschner:
Automatisierte Identifikation von sicherheitsrelevanten Konfigurationseinstellungen mittels NLP. Software Engineering 2023: 115-116 - [c165]Lena Gregor, Markus Schnappinger, Alexander Pretschner:
Revisiting Inter-Class Maintainability Indicators. SANER 2023: 805-814 - [i36]Patrick Stöckle, Michael Sammereier, Bernd Grobauer, Alexander Pretschner:
Better Safe Than Sorry! Automated Identification of Functionality-Breaking Security-Configuration Rules. CoRR abs/2303.05901 (2023) - [i35]Valentin Zieglmeier, Gabriel Loyola Daiqui, Alexander Pretschner:
Decentralized Inverse Transparency With Blockchain. CoRR abs/2304.11033 (2023) - [i34]Valentin Zieglmeier, Alexander Pretschner:
Rethinking People Analytics With Inverse Transparency by Design. CoRR abs/2305.09813 (2023) - 2022
- [j33]Ana Petrovska, Stefan Kugele, Thomas Hutzelmann, Theo Beffart, Sebastian Bergemann, Alexander Pretschner:
Defining adaptivity and logical architecture for engineering (smart) self-adaptive cyber-physical systems. Inf. Softw. Technol. 147: 106866 (2022) - [c164]Daniel Elsner, Daniel Bertagnolli, Alexander Pretschner, Rudi Klaus:
Challenges in Regression Test Selection for End-to-End Testing of Microservice-based Software Systems. AST@ICSE 2022: 1-5 - [c163]Daniel Elsner, Roland Wuersching, Markus Schnappinger, Alexander Pretschner:
Probe-based Syscall Tracing for Efficient and Practical File-level Test Traces. AST@ICSE 2022: 126-137 - [c162]Patrick Stöckle, Ionut Pruteanu, Bernd Grobauer, Alexander Pretschner:
Hardening with Scapolite: A DevOps-based Approach for Improved Authoring and Testing of Security-Configuration Guides in Large-Scale Organizations. CODASPY 2022: 137-142 - [c161]Stephan Lipp, Daniel Elsner, Thomas Hutzelmann, Sebastian Banescu, Alexander Pretschner, Marcel Böhme:
FuzzTastic: A Fine-grained, Fuzzer-agnostic Coverage Analyzer. ICSE-Companion 2022: 75-79 - [c160]Daniel Elsner, Roland Wuersching, Markus Schnappinger, Alexander Pretschner, Maria Graber, René Dammer, Silke Reimer:
Build System Aware Multi-language Regression Test Selection in Continuous Integration. ICSE (SEIP) 2022: 87-96 - [c159]Claudius Jordan, Philipp Foth, Alexander Pretschner, Matthias Fruth:
Unreliable Test Infrastructures in Automotive Testing Setups. ICSE (SEIP) 2022: 307-308 - [c158]Valentin Zieglmeier, Maren Gierlich-Joas, Alexander Pretschner:
Increasing Employees' Willingness to Share: Introducing Appeal Strategies for People Analytics. ICSOB 2022: 213-226 - [c157]Tabea Schmidt, Alexander Pretschner:
StellaUAV: A Tool for Testing the Safe Behavior of UAVs with Scenario-Based Testing (Tools and Artifact Track). ISSRE 2022: 37-48 - [c156]Claudius Jordan, Philipp Foth, Matthias Fruth, Alexander Pretschner:
Why Did the Test Execution Fail? Failure Classification Using Association Rules (Practical Experience Report). ISSRE 2022: 517-528 - [c155]Stephan Lipp, Sebastian Banescu, Alexander Pretschner:
An empirical study on the effectiveness of static C code analyzers for vulnerability detection. ISSTA 2022: 544-555 - [c154]Nicola Kolb, Claudius Jordan, Florian Huber, Alexander Pretschner:
Automatic Evaluation of Automatically Derived Semantic Scenario Instance Descriptions. ITSC 2022: 1565-1571 - [c153]Patrick Stöckle, Theresa Wasserer, Bernd Grobauer, Alexander Pretschner:
Automated Identification of Security-Relevant Configuration Settings Using NLP. ASE 2022: 131:1-131:5 - [c152]Yuri Gil Dantas, Tiziano Munaro, Carmen Cârlan, Vivek Nigam, Simon Barner, Shiqing Fan, Alexander Pretschner, Ulrich Schöpp, Sergey Tverdyshev:
A Model-based System Engineering Plugin for Safety Architecture Pattern Synthesis. MODELSWARD 2022: 36-47 - [c151]Peter Bludau, Alexander Pretschner:
Feature sets in just-in-time defect prediction: an empirical evaluation. PROMISE 2022: 22-31 - [c150]Tabea Schmidt, Florian Hauer, Alexander Pretschner:
Exploring a Maximal Number of Relevant Obstacles for Testing UAVs. SAFECOMP 2022: 335-349 - [c149]Nicola Kolb, Florian Hauer, Mojdeh Golagha, Alexander Pretschner:
Data-Driven Assessment of Parameterized Scenarios for Autonomous Vehicles. SAFECOMP 2022: 350-364 - [c148]Markus Schnappinger, Simon Zachau, Arnaud Fietzke, Alexander Pretschner:
A Preliminary Study on Using Text- and Image-Based Machine Learning to Predict Software Maintainability. SWQD 2022: 41-60 - [c147]Peter Bludau, Alexander Pretschner:
PR-SZZ: How pull requests can support the tracing of defects in software repositories. SANER 2022: 1-12 - [i33]Peter Bludau, Alexander Pretschner:
PR-SZZ: How pull requests can support the tracing of defects in software repositories. CoRR abs/2206.09967 (2022) - [i32]Valentin Zieglmeier, Maren Gierlich-Joas, Alexander Pretschner:
Increasing Employees' Willingness to Share: Introducing Appeal Strategies for People Analytics. CoRR abs/2209.05387 (2022) - [i31]Patrick Stöckle, Ionut Pruteanu, Bernd Grobauer, Alexander Pretschner:
Hardening with Scapolite: a DevOps-based Approach for Improved Authoring and Testing of Security-Configuration Guides in Large-Scale Organizations. CoRR abs/2209.08824 (2022) - [i30]Patrick Stöckle, Theresa Wasserer, Bernd Grobauer, Alexander Pretschner:
Automated Identification of Security-Relevant Configuration Settings Using NLP. CoRR abs/2209.08853 (2022) - [i29]Patrick Stöckle, Bernd Grobauer, Alexander Pretschner:
Automated Implementation of Windows-related Security-Configuration Guides. CoRR abs/2209.08936 (2022) - [i28]Peter Bludau, Alexander Pretschner:
Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation. CoRR abs/2209.13978 (2022) - 2021
- [j32]Alexander Pretschner, Florian Hauer, Tabea Schmidt:
Tests für automatisierte und autonome Fahrsysteme. Inform. Spektrum 44(3): 214-218 (2021) - [j31]Alexander Pretschner, Niina Zuber, Jan Gogoll, Severin Kacianka, Julian Nida-Rümelin:
Ethik in der agilen Software-Entwicklung. Inform. Spektrum 44(5): 348-354 (2021) - [j30]Aleieldin Salem, Sebastian Banescu, Alexander Pretschner:
Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection. ACM Trans. Priv. Secur. 24(4): 25:1-25:35 (2021) - [c146]Sebastian Banescu, Samuel Valenzuela, Marius Guggenmos, Mohsen Ahmadvand, Alexander Pretschner:
Dynamic Taint Analysis versus Obfuscated Self-Checking. ACSAC 2021: 182-193 - [c145]Markus Schnappinger, Arnaud Fietzke, Alexander Pretschner:
Human-level Ordinal Maintainability Prediction Based on Static Code Metrics. EASE 2021: 160-169 - [c144]Severin Kacianka, Alexander Pretschner:
Designing Accountable Systems. FAccT 2021: 424-437 - [c143]Bianca Biebl, Severin Kacianka, Anirudh Unni, Alexander Trende, Jochem W. Rieger, Andreas Lüdtke, Alexander Pretschner, Klaus Bengler:
A Causal Model of Intersection-Related Collisions for Drivers With and Without Visual Field Loss. HCI (43) 2021: 219-234 - [c142]Daniel Elsner, Florian Hauer, Alexander Pretschner, Silke Reimer:
Empirically evaluating readily available information for regression test optimization in continuous integration. ISSTA 2021: 491-504 - [c141]Nicola Kolb, Florian Hauer, Alexander Pretschner:
Fitness Function Templates for Testing Automated and Autonomous Driving Systems in Intersection Scenarios. ITSC 2021: 217-222 - [c140]Tabea Schmidt, Florian Hauer, Alexander Pretschner:
Understanding Safety for Unmanned Aerial Vehicles in Urban Environments. IV 2021: 638-643 - [c139]Nisrine Bnouhanna, Rute C. Sofia, Alexander Pretschner:
IoT Thing To Service Semantic Matching. PerCom Workshops 2021: 418-419 - [c138]Patrick Stöckle, Bernd Grobauer, Alexander Pretschner:
Automated Implementation of Windows-related Security-Configuration Guides. Software Engineering 2021: 101-102 - [c137]Ana Petrovska, Malte Neuss, Ilias Gerostathopoulos, Alexander Pretschner:
Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems. SEAMS@ICSE 2021: 130-141 - [c136]Roman Haas, Daniel Elsner, Elmar Jürgens, Alexander Pretschner, Sven Apel:
How can manual testing processes be optimized? developer survey, optimization guidelines, and case studies. ESEC/SIGSOFT FSE 2021: 1281-1291 - [i27]Severin Kacianka, Alexander Pretschner:
Designing Accountable Systems. CoRR abs/2101.08102 (2021) - [i26]Valentin Zieglmeier, Alexander Pretschner:
Trustworthy Transparency by Design. CoRR abs/2103.10769 (2021) - [i25]Niina Zuber, Severin Kacianka, Jan Gogoll, Alexander Pretschner, Julian Nida-Rümelin:
Empowered and Embedded: Ethics and Agile Processes. CoRR abs/2107.07249 (2021) - 2020
- [j29]Johannes Kroß, Peter Bludau, Alexander Pretschner:
Center for Code Excellence Trends - Eine Plattform für Trends in Softwaretechnologien. Inform. Spektrum 43(6): 417-424 (2020) - [c135]Amjad Ibrahim, Alexander Pretschner:
From Checking to Inference: Actual Causality Computations as Optimization Problems. ATVA 2020: 343-359 - [c134]Amjad Ibrahim, Tobias Klesel, Ehsan Zibaei, Severin Kacianka, Alexander Pretschner:
Actual Causality Canvas: A General Framework for Explanation-Based Socio-Technical Constructs. ECAI 2020: 2978-2985 - [c133]Thomas Hutzelmann, Dominik Mauksch, Alexander Pretschner:
How to Conduct Experiments with a Real Car? Experiences and Practical Guidelines. ECSA Companion 2020: 518-526 - [c132]Amjad Ibrahim, Simon Rehwald, Antoine Scemama, Florian Andres, Alexander Pretschner:
Causal Model Extraction from Attack Trees to Attribute Malicious Insider Attacks. GraMSec@CSF 2020: 3-23 - [c131]Ana Petrovska, Sergio Quijano, Ilias Gerostathopoulos, Alexander Pretschner:
Knowledge aggregation with subjective logic in multi-agent self-adaptive cyber-physical systems. SEAMS@ICSE 2020: 149-155 - [c130]Markus Schnappinger, Arnaud Fietzke, Alexander Pretschner:
Defining a Software Maintainability Dataset: Collecting, Aggregating and Analysing Expert Evaluations of Software Maintainability. ICSME 2020: 278-289 - [c129]Mojdeh Golagha, Alexander Pretschner, Lionel C. Briand:
Can We Predict the Quality of Spectrum-based Fault Localization? ICST 2020: 4-15 - [c128]Claudius V. Jordan, Florian Hauer, Philipp Foth, Alexander Pretschner:
Time-Series-Based Clustering for Failure Analysis in Hardware-in-the-Loop Setups: An Automotive Case Study. ISSRE Workshops 2020: 67-72 - [c127]Florian Hauer, Ilias Gerostathopoulos, Tabea Schmidt, Alexander Pretschner:
Clustering Traffic Scenarios Using Mental Models as Little as Possible. IV 2020: 1007-1012 - [c126]Florian Hauer, Alexander Pretschner, Bernd Holzmüller:
Re-Using Concrete Test Scenarios Generally Is a Bad Idea. IV 2020: 1305-1310 - [c125]Patrick Stöckle, Bernd Grobauer, Alexander Pretschner:
Automated Implementation of Windows-related Security-Configuration Guides. ASE 2020: 598-610 - [c124]Tabea Schmidt, Florian Hauer, Alexander Pretschner:
Automated Anomaly Detection in CPS Log Files - A Time Series Clustering Approach. SAFECOMP 2020: 179-194 - [c123]Johannes Kroß, Peter Bludau, Alexander Pretschner:
Center for Code Excellence. SE 2020: 235-236 - [i24]Severin Kacianka, Amjad Ibrahim, Alexander Pretschner:
Expressing Accountability Patterns using Structural Causal Models. CoRR abs/2005.03294 (2020) - [i23]Amjad Ibrahim, Alexander Pretschner:
From Checking to Inference: Actual Causality Computations as Optimization Problems. CoRR abs/2006.03363 (2020) - [i22]Aleieldin Salem, Sebastian Banescu, Alexander Pretschner:
Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection. CoRR abs/2007.00510 (2020) - [i21]Jan Gogoll, Niina Zuber, Severin Kacianka, Timo Greger, Alexander Pretschner, Julian Nida-Rümelin:
Ethics in the Software Development Process: From Codes of Conduct to Ethical Deliberation. CoRR abs/2011.03016 (2020)
2010 – 2019
- 2019
- [j28]Mohsen Ahmadvand, Alexander Pretschner, Florian Kelbert:
Chapter Eight - A Taxonomy of Software Integrity Protection Techniques. Adv. Comput. 112: 413-486 (2019) - [j27]Jörg Kienzle, Alexander Pretschner:
Guest editorial for the special section on MODELS 2016. Softw. Syst. Model. 18(3): 1681-1682 (2019) - [j26]Tobias Wüchner, Aleksander Cislak, Martín Ochoa, Alexander Pretschner:
Leveraging Compression-Based Graph Mining for Behavior-Based Malware Detection. IEEE Trans. Dependable Secur. Comput. 16(1): 99-112 (2019) - [c122]Mohsen Ahmadvand, Daniel Below, Sebastian Banescu, Alexander Pretschner:
VirtSC: Combining Virtualization Obfuscation with Self-Checksumming. SPRO@CCS 2019: 53-63 - [c121]Mojdeh Golagha, Constantin Lehnhoff, Alexander Pretschner, Hermann Ilmberger:
Failure clustering without coverage. ISSTA 2019: 134-145 - [c120]Florian Hauer, Tabea Schmidt, Bernd Holzmüller, Alexander Pretschner:
Did We Test All Scenarios for Automated and Autonomous Driving Systems? ITSC 2019: 2950-2955 - [c119]Florian Hauer, Raphael E. Stern, Alexander Pretschner:
Selecting Flow Optimal System Parameters for Automated Driving Systems. ITSC 2019: 3776-3781 - [c118]Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, Arnaud Fietzke:
Learning a classifier for prediction of maintainability based on static analysis tools. ICPC 2019: 243-248 - [c117]Amjad Ibrahim, Severin Kacianka, Alexander Pretschner, Charles Hartsell, Gabor Karsai:
Practical Causal Models for Cyber-Physical Systems. NFM 2019: 211-227 - [c116]Amjad Ibrahim, Stevica Bozhinoski, Alexander Pretschner:
Attack graph generation for microservice architecture. SAC 2019: 1235-1242 - [c115]Valentin Zieglmeier, Severin Kacianka, Thomas Hutzelmann, Alexander Pretschner:
A real-time remote IDS testbed for connected vehicles. SAC 2019: 1898-1905 - [c114]Florian Hauer, Alexander Pretschner, Bernd Holzmüller:
Fitness Functions for Testing Automated and Autonomous Driving Systems. SAFECOMP 2019: 69-84 - [c113]Ana Petrovska, Alexander Pretschner:
Learning Approach for Smart Self-Adaptive Cyber-Physical Systems. FAS*W@SASO/ICAC 2019: 234-236 - [c112]Severin Kacianka, Amjad Ibrahim, Alexander Pretschner, Alexander Trende, Andreas Lüdtke:
Extending Causal Models from Machines into Humans. CREST@ETAPS 2019: 17-31 - [e12]Marouane Kessentini, Tao Yue, Alexander Pretschner, Sebastian Voss, Loli Burgueño:
22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2019, Munich, Germany, September 15-20, 2019. IEEE 2019, ISBN 978-1-7281-2536-7 [contents] - [e11]Loli Burgueño, Alexander Pretschner, Sebastian Voss, Michel Chaudron, Jörg Kienzle, Markus Völter, Sébastien Gérard, Mansooreh Zahedi, Erwan Bousse, Arend Rensink, Fiona Polack, Gregor Engels, Gerti Kappel:
22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS Companion 2019, Munich, Germany, September 15-20, 2019. IEEE 2019, ISBN 978-1-7281-5125-0 [contents] - [i20]Saahil Ognawala, Fabian Kilger, Alexander Pretschner:
Compositional Fuzzing Aided by Targeted Symbolic Execution. CoRR abs/1903.02981 (2019) - [i19]Aleieldin Salem, Sebastian Banescu, Alexander Pretschner:
Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods. CoRR abs/1903.10560 (2019) - [i18]Amjad Ibrahim, Simon Rehwald, Alexander Pretschner:
Efficiently Checking Actual Causality with SAT Solving. CoRR abs/1904.13101 (2019) - [i17]Mohsen Ahmadvand, Daniel Below, Sebastian Banescu, Alexander Pretschner:
VirtSC: Combining Virtualization Obfuscation with Self-Checksumming. CoRR abs/1909.11404 (2019) - 2018
- [j25]Sebastian Banescu, Alexander Pretschner:
Chapter Five - A Tutorial on Software Obfuscation. Adv. Comput. 108: 283-353 (2018) - [j24]Florian Kelbert, Alexander Pretschner:
Data Usage Control for Distributed Systems. ACM Trans. Priv. Secur. 21(3): 12:1-12:32 (2018) - [c111]Mohsen Ahmadvand, Anahit Hayrapetyan, Sebastian Banescu, Alexander Pretschner:
Practical Integrity Protection with Oblivious Hashing. ACSAC 2018: 40-52 - [c110]Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, Markus Pizka, Arnaud Fietzke:
Software quality assessment in practice: a hypothesis-driven framework. ESEM 2018: 40:1-40:6 - [c109]Aleieldin Salem, Tabea Schmidt, Alexander Pretschner:
Idea: Automatic Localization of Malicious Behaviors in Android Malware with Hidden Markov Models. ESSoS 2018: 108-115 - [c108]Mojdeh Golagha, Abu Mohammed Raisuddin, Lennart Mittag, Dominik Hellhake, Alexander Pretschner:
Aletheia: a failure diagnosis toolchain. ICSE (Companion Volume) 2018: 13-16 - [c107]Md. Rezaur Rahman, Mojdeh Golagha, Alexander Pretschner:
Pairika: a failure diagnosis benchmark for C++ programs. ICSE (Companion Volume) 2018: 204-205 - [c106]Ehsan Zibaei, Sebastian Banescu, Alexander Pretschner:
Diagnosis of Safety Incidents for Cyber-Physical Systems: A UAV Example. ICSRS 2018: 120-129 - [c105]Saahil Ognawala, Ricardo Nales Amato, Alexander Pretschner, Pooja Kulkarni:
Automatically assessing vulnerabilities discovered by compositional analysis. MASES@ASE 2018: 16-25 - [c104]Aleieldin Salem, Alexander Pretschner:
Poking the bear: lessons learned from probing three Android malware datasets. A-Mobile@ASE 2018: 19-24 - [c103]Aleieldin Salem, F. Franziska Paulus, Alexander Pretschner:
Repackman: a tool for automatic repackaging of Android apps. A-Mobile@ASE 2018: 25-28 - [c102]