@article{20543, author = {{Nguyen Quang Do, Lisa and Krüger, Stefan and Hill, Patrick and Ali, Karim and Bodden, Eric}}, issn = {{2326-3881}}, journal = {{IEEE Transactions on Software Engineering}}, keywords = {{Debugging, Static analysis, Tools, Computer bugs, Standards, Writing, Encoding, Testing and Debugging, Program analysis, Development tools, Integrated environments, Graphical environments, Usability testing}}, pages = {{1--1}}, title = {{{Debugging Static Analysis}}}, doi = {{10.1109/TSE.2018.2868349}}, year = {{2018}}, } @proceedings{20544, editor = {{Tichy, Matthias and Bodden, Eric and Kuhrmann, Marco and Wagner, Stefan and Steghöfer, Jan-Philipp}}, isbn = {{978-3-88579-673-2}}, publisher = {{Gesellschaft für Informatik}}, title = {{{Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. März 2018, Ulm, Germany}}}, volume = {{{P-279}}}, year = {{2018}}, } @proceedings{20545, editor = {{Tip, Frank and Bodden, Eric}}, publisher = {{ACM}}, title = {{{Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2018, Amsterdam, The Netherlands, July 16-21, 2018}}}, year = {{2018}}, } @inproceedings{20546, author = {{Gerking, Christopher and Schubert, David and Bodden, Eric}}, booktitle = {{Engineering Secure Software and Systems}}, editor = {{Payer, Mathias and Rashid, Awais and Such, Jose M.}}, pages = {{27--43}}, publisher = {{Springer International Publishing}}, title = {{{Model Checking the Information Flow Security of Real-Time Systems}}}, year = {{2018}}, } @inproceedings{20547, author = {{Nguyen Quang Do, Lisa and Bodden, Eric}}, booktitle = {{Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering}}, isbn = {{978-1-4503-5573-5}}, keywords = {{Gamification, Integrated Environments, Program analysis}}, pages = {{714--718}}, publisher = {{ACM}}, title = {{{Gamifying Static Analysis}}}, doi = {{10.1145/3236024.3264830}}, year = {{2018}}, } @inproceedings{20548, author = {{Bodden, Eric}}, booktitle = {{ACM SIGPLAN International Workshop on the State Of the Art in Java Program Analysis (SOAP 2018)}}, isbn = {{978-1-4503-5939-9}}, keywords = {{ATTRACT, ITSECWEBSITE}}, pages = {{85--93}}, publisher = {{ACM}}, title = {{{The Secret Sauce in Efficient and Precise Static Analysis: The Beauty of Distributive, Summary-based Static Analyses (and How to Master Them)}}}, doi = {{10.1145/3236454.3236500}}, year = {{2018}}, } @inproceedings{20549, author = {{Geismann, Johannes and Gerking, Christopher and Bodden, Eric}}, booktitle = {{International Conference on Software and System Processes (ICSSP)}}, keywords = {{ITSECWEBSITE}}, title = {{{Towards Ensuring Security by Design in Cyber-Physical Systems Engineering Processes}}}, year = {{2018}}, } @inproceedings{20550, author = {{Bodden, Eric}}, booktitle = {{Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results}}, isbn = {{978-1-4503-5662-6}}, keywords = {{ATTRACT, ITSECWEBSITE}}, pages = {{45--48}}, publisher = {{ACM}}, title = {{{Self-adaptive Static Analysis}}}, doi = {{10.1145/3183399.3183401}}, year = {{2018}}, } @inproceedings{20551, author = {{Nguyen Quang Do, Lisa and Krüger, Stefan and Hill, Patrick and Ali, Karim and Bodden, Eric}}, booktitle = {{International Conference for Software Engineering (ICSE), Tool Demonstrations Track}}, keywords = {{ATTRACT, ITSECWEBSITE}}, title = {{{VISUFLOW, a Debugging Environment for Static Analyses}}}, year = {{2018}}, } @phdthesis{20779, abstract = {{Der hohe Grad an Innovation in mechatronischen Systemen führt zu sogenannten Cyber-Physical Systems (CPS). Diese haben eine komplexe Funktionalität und Kommunikation. Wie sicherheitskritisch solche Systeme sind, wird durch sogenannte Sicherheits-Integritätslevel (SIL) kategorisiert, die durch Normen wie der ISO 26262 definiert werden. Ein bestimmter SIL beschreibt nicht nur die Höhe des Gefährdungsrisikos, sondern diktiert auch den erforderlichen Grad an Sorgfalt bei der Entwicklung des Systems. Ein hoher SIL erfordert die Anwendung von Safety-Maßnahmen mit einem hohen Sorgfaltsgrad in allen Phasen der Entwicklung und impliziert daher einen hohen Safety-Aufwand. SIL-Tailoring ist ein Mittel um den Safety-Aufwand zu reduzieren, indem man Subsystemen geringere SILs zuordnet, falls sie von kritischeren Subsystemen getrennt sind oder redundante Safety-Anforderungen erfüllen. Um den nötigen Safety-Aufwand zu planen, sollten Möglichkeiten für SIL-Tailoring so früh wie möglich identifiziert werden - d.h. bereits in der Anforderungsanalyse. Durch die Komplexität von CPS, ist es schwierig valide SIL-Tailorings zu finden. Die Validität von SIL-Tailorings muss durch Analyse von Fehlerpropagierungspfaden geprüft und durch Argumente im Safety Case begründet werden. Der Beitrag dieser Dissertation ist ein systematischer, tool-unterstützter SIL-Tailoring-Prozess, der im Safety Requirements Engineering angewendet wird. Der Prozess nutzt eine modell-basierte, formale Anforderungsspezifikation und stellt einen Katalog von Anforderungsmustern bereit. Basierend auf diesen Anforderungen werden Fehlerpropagierungsmodelle generiert und Subsystemen automatisch SILs zugeordnet. Das minimiert den Sicherheitsanalyseaufwand. Aus den generierten Ergebnissen wird automatisch ein Safety Case mit Argumenten für die SIL-Tailoring-Validität abgeleitet.}}, author = {{Fockel, Markus}}, publisher = {{Fakultät für Elektrotechnik, Informatik und Mathematik, Universität Paderborn}}, title = {{{Safety Requirements Engineering for Early SIL Tailoring}}}, doi = {{10.17619/UNIPB/1-490}}, year = {{2018}}, } @inproceedings{20781, author = {{Gerking, Christopher and Schubert, David}}, booktitle = {{European Conference on Software Architecture (ECSA 2018)}}, number = {{11048}}, pages = {{147--155}}, publisher = {{Springer}}, title = {{{Towards Preserving Information Flow Security on Architectural Composition of Cyber-Physical Systems}}}, doi = {{10.1007/978-3-030-00761-4_10}}, year = {{2018}}, } @inproceedings{20784, author = {{Geismann, Johannes}}, booktitle = {{IEEE International Conference on Software Architecture Companion (ICSA-C 2018) }}, pages = {{41--42}}, publisher = {{IEEE}}, title = {{{Traceable Threat Modeling for Safety-critical Systems}}}, doi = {{10.1109/ICSA-C.2018.00017}}, year = {{2018}}, } @inproceedings{20785, abstract = {{Cyber-physical Systems are distributed, embedded systems that interact with their physical environment. Typically, these systems consist of several Electronic Control Units using multiple processing cores for the execution. Many systems are applied in safety-critical contexts and have to fulfill hard real-time requirements. The model-driven engineering paradigm enables system developers to consider all requirements in a systematical manner. In the software design phase, they prove the fulfillment of the requirements using model checking. When deploying the software to the executing platform, one important task is to ensure that the runtime scheduling does not violate the verified requirements by neglecting the model checking assumptions. Current model-driven approaches do not consider the problem of deriving feasible execution schedules for embedded multi-core platforms respecting hard real-time requirements. This paper extends the previous work on providing an approach for a semi-automatic synthesis of behavioral models into a deterministic real-time scheduling. We add an approach for the partitioning and mapping development tasks. This extended approach enables the utilization of parallel resources within a single ECU considering the verification assumptions by extending the open tool platform App4mc. We evaluate our approach using an example of a distributed automotive system with hard real-time requirements specified with the MechatronicUML method. }}, author = {{Geismann, Johannes and Höttger, Robert and Krawczyk, Lukas and Pohlmann, Uwe and Schmelter, David}}, booktitle = {{Model-Driven Engineering and Software Development}}, editor = {{Pires, Luís Ferreira and Hammoudi, Slimane and Selic, Bran}}, pages = {{72--93}}, publisher = {{Springer International Publishing}}, title = {{{Automated Synthesis of a Real-Time Scheduling for Cyber-Physical Multi-core Systems}}}, doi = {{10.1007/978-3-319-94764-8_4}}, volume = {{1}}, year = {{2018}}, } @phdthesis{20789, author = {{Pohlmann, Uwe}}, publisher = {{Universität Paderborn, Heinz Nixdorf Institut, Softwaretechnik}}, title = {{{A Model-driven Software Construction Approach for Cyber-physical Systems}}}, year = {{2018}}, } @inproceedings{4999, author = {{Pauck, Felix and Bodden, Eric and Wehrheim, Heike}}, booktitle = {{Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2018}}, isbn = {{9781450355735}}, publisher = {{ACM Press}}, title = {{{Do Android taint analysis tools keep their promises?}}}, doi = {{10.1145/3236024.3236029}}, year = {{2018}}, } @inproceedings{5203, author = {{Krüger, Stefan and Späth, Johannes and Ali, Karim and Bodden, Eric and Mezini, Mira}}, booktitle = {{European Conference on Object-Oriented Programming (ECOOP)}}, keywords = {{ITSECWEBSITE, CROSSING}}, pages = {{10:1--10:27}}, title = {{{CrySL: An Extensible Approach to Validating the Correct Usage of Cryptographic APIs}}}, year = {{2018}}, } @misc{1044, author = {{Leer, Richard}}, publisher = {{Universität Paderborn}}, title = {{{Measuring Performance of a Static Analysis Framework with an application to Immutability Analysis}}}, year = {{2018}}, } @misc{1045, author = {{Strüwer, Jan Niclas}}, publisher = {{Universität Paderborn}}, title = {{{Interactive Data Visualization for Exploded Supergraphs}}}, year = {{2018}}, } @inbook{20552, abstract = {{Das Zukunftsszenario der Industrie 4.0 ist gepr{\"a}gt durch einen massiven Anstieg der unternehmens{\"u}bergreifenden Vernetzung. Um einer Bedrohung durch unautorisierte Weitergabe oder Sabotage vertraulicher Daten entgegenzuwirken, muss der Informationssicherheit bereits im Entwurf der cyber-physischen Produktionssysteme ein hoher Stellenwert einger{\"a}umt werden. Dieses Paradigma wird als Security by Design bezeichnet. {\"U}ber den gesamten Entstehungsprozess hinweg muss nachverfolgt werden k{\"o}nnen, ob die Systeme spezifische Anforderungen an die Informationssicherheit erf{\"u}llen und damit die Eigenschaft der Industrial Security gew{\"a}hrleisten. Dieser Beitrag stellt einen Entwurfsansatz zur Nachverfolgung der Informationssicherheit vor, der durch Integration softwaretechnischer Methoden in das Systems Engineering eine Entwicklung nach dem Paradigma Security by Design erm{\"o}glicht.}}, author = {{Gerking, Christopher and Bodden, Eric and Schäfer, Wilhelm}}, booktitle = {{Handbuch Gestaltung digitaler und vernetzter Arbeitswelten}}, editor = {{Maier, Günter W. and Engels, Gregor and Steffen, Eckhard}}, isbn = {{978-3-662-52903-4}}, keywords = {{ITSECWEBSITE}}, pages = {{1--24}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Industrial Security by Design}}}, doi = {{10.1007/978-3-662-52903-4_8-1}}, year = {{2017}}, } @article{20553, abstract = {{Finding and fixing software vulnerabilities have become a major struggle for most software development companies. While generally without alternative, such fixing efforts are a major cost factor, which is why companies have a vital interest in focusing their secure software development activities such that they obtain an optimal return on this investment. We investigate, in this paper, quantitatively the major factors that impact the time it takes to fix a given security issue based on data collected automatically within SAP's secure development process, and we show how the issue fix time could be used to monitor the fixing process. We use three machine learning methods and evaluate their predictive power in predicting the time to fix issues. Interestingly, the models indicate that vulnerability type has less dominant impact on issue fix time than previously believed. The time it takes to fix an issue instead seems much more related to the component in which the potential vulnerability resides, the project related to the issue, the development groups that address the issue, and the closeness of the software release date. This indicates that the software structure, the fixing processes, and the development groups are the dominant factors that impact the time spent to address security issues. SAP can use the models to implement a continuous improvement of its secure software development process and to measure the impact of individual improvements. The development teams at SAP develop different types of software, adopt different internal development processes, use different programming languages and platforms, and are located in different cities and countries. Other organizations, may use the results---with precaution---and be learning organizations.}}, author = {{Ben Othmane, Lotfi and Chehrazi, Golriz and Bodden, Eric and Tsalovski, Petar and Brucker, Achim D.}}, issn = {{2364-1541}}, journal = {{Data Science and Engineering}}, number = {{2}}, pages = {{107--124}}, title = {{{Time for Addressing Software Security Issues: Prediction Models and Impacting Factors}}}, doi = {{https://doi.org/10.1007/s41019-016-0019-8}}, volume = {{2}}, year = {{2017}}, }