TY - CHAP A1 - Raab, Peter A1 - Racek, Stanislav A1 - Krämer, Stefan A1 - Mottok, Jürgen T1 - Data Flow Analysis of Software Executed by Unreliable Hardware T2 - 16th Euromicro Conference on Digital System Design, Los Alamitos, CA, USA N2 - The data flow is a crucial part of software execution in recent applications. It depends on the concrete implementation of the realized algorithm and it influences the correctness of a result in case of hardware faults during the calculation. In logical circuits, like arithmetic operations in a processor system, arbitrary faults become a more tremendous aspect in future. With modern manufacturing processes, the probability of such faults will increase and the result of a software's data flow will be more vulnerable. This paper shows a principle evaluation method for the reliability of a software's data flow with arbitrary soft errors also with the concept of fault compensation. This evaluation is discussed by means of a simple example based on an addition. KW - data flow KW - error probability KW - fault compensation KW - reliability analysis KW - software-implemented-hardwarefault-tolerance (SIHFT) Y1 - 2013 U6 - https://doi.org/10.1109/DSD.2013.35 SP - 243 EP - 249 ER - TY - CHAP A1 - Oklapi, Erna A1 - Deubzer, Michael A1 - Schmidhuber, Stefan A1 - Mottok, Jürgen T1 - Verification of an Evolutionary Optimization Algorithm for Runnable Sequencing Problem T2 - 4th Applied Research Conference, 5th July 2014, Ingolstadt Y1 - 2014 ER - TY - CHAP A1 - Alfranseder, Martin A1 - Krapf, Tobias A1 - Mottok, Jürgen A1 - Siemers, Christian T1 - Synchronisationsverfahren in embedded Multicoresystemen T2 - Tagungsband, 6th Embedded Software Engineering, Kongress 2013, 2. bis 6. Dezembern 2013, Sindelfingen Y1 - 2013 PB - Vogel Business Media CY - Würzburg ER - TY - CHAP A1 - Sailer, Andreas A1 - Schmidhuber, Stefan A1 - Deubzer, Michael A1 - Alfranseder, Martin A1 - Mucha, Matthias A1 - Mottok, Jürgen T1 - Optimizing the task allocation step for multi-core processors within autosar T2 - 2013 International Conference on Applied Electronics, IEEE, Pilsen, Czech Republic N2 - We present a model-based optimization approach for the task allocation problem in embedded multi-core systems. The information therefore is obtained from a system description in AUTOSAR and runtime measurements of the runnables in hardware traces. Based on this an initial software partitioning of runnables to tasks is created. We then use a genetic algorithm to create and evaluate solutions to the task allocation problem. Each solution is hereby evaluated using a discrete event-based simulation, which allows the evaluation with regard to real-time properties, resource consumption and data-communication overhead. The significance of our approach is then shown in a case-study. There, we optimize the task allocation of an embedded system, whose complexity is comparable to that of an actual system, on a multi-core processor. Finally, the results of the optimization are transferred to an ECU Configuration Description to enable further development in compliance with the AUTOSAR methodology. KW - AUTOSAR KW - Multi-Objective Optimization KW - Multi-Core KW - Goodness-of-fit KW - Task Allocation Y1 - 2013 UR - https://ieeexplore.ieee.org/document/6636524 ER - TY - CHAP A1 - Tomer, Amir A1 - Hagel, Georg A1 - Mottok, Jürgen A1 - Alt, Dorit A1 - Barak, Miriam I. A1 - Hadar, Irit T1 - CAPELLA: A conceptual framework for adaptive life-long learning T2 - IEEE Global Engineering Education Conference (EDUCON), 25-28 April 2017, Athens, Greece N2 - In this paper we describe a proposed framework for Cooperative Adaptive Personalized Education for Life-long Learning and Activation (CAPELLA). CAPELLA comprises four models: A Knowledge Organization Model, a Learning Process Model, a Community Collaboration Model and a Gaming Model. The underlying pedagogical approach is based on the four pillars of learning: Learning to know, learning to do, learning to collaborate and learning to be. Based on these models and principles, CAPELLA provides a theoretical framework that may assist IT developers to develop state-of-the-art educational platforms and advanced learning applications. Using an example of a UML Diagramming Workshop we demonstrate how CAPELLA incorporates the principles of Adaptive Learning. Y1 - 2017 U6 - https://doi.org/10.1109/EDUCON.2017.7943041 SP - 1463 EP - 1472 ER - TY - CHAP A1 - Schumm, Michael A1 - Joseph, Saskia A1 - Mottok, Jürgen A1 - Niemetz, Michael A1 - Schroll-Decker, Irmgard T1 - Lernarrangements im software engineering und deren evaluation – neue konzepte für hochschule und lebenslanges Lernen T2 - Tagungsband 5th Embedded Software Engineering Kongress, 3. bis 7. Dezember 2012, Sindelfingen Y1 - 2012 ER - TY - CHAP A1 - Krämer, Stefan A1 - Raab, Peter A1 - Mottok, Jürgen T1 - Simulationsbasierte Reliability-Analyse – Einflüsse von zufälligen Fehlern auf das Echtzeit-Scheduling T2 - Tagungsband 5th Embedded Software Engineering Kongress, 3. bis 7. Dezember 2012, Sindelfingen Y1 - 2012 SP - 613 EP - 622 ER - TY - CHAP A1 - Alfranseder, Martin A1 - Mottok, Jürgen T1 - Kommunikationsmechanismen für sicherheitskritische multi-core Echtzeit-Systeme T2 - 5th Automotive Summerschool, Regensburg, September 2012 Y1 - 2012 ER - TY - RPRT A1 - Pfaller, M. A1 - Mottok, Jürgen T1 - Developing the e-learning class ‘practical training in c’ Y1 - 2013 ER - TY - CHAP A1 - De, Sangita A1 - Niklas, Michael A1 - Rooney, Brian A1 - Mottok, Jürgen A1 - Brada, Premek T1 - Towards Translation of Semantics of Automotive Interface Description Models from Franca to AUTOSAR Frameworks BT - An Approach using Semantic Synergies T2 - 2019 International Conference on Applied Electronics (AE), 10-11 Sept. 2019, Pilsen, Czech Republic N2 - The automotive industry is eventually evolving into a complex network of services. The heterogeneous and distributed nature of automotive software systems demands flexible software components which can operate in different environments. Because of heterogeneous automotive development environments, the domain experts, must cope with too many diversities, adaption layers, and incompatibilities to design applications for the current generation of autonomous driving vehicles. In this context, interface adaptation is a promising approach to achieve flexibility without directly changing the respective components. AUTOSAR, which is the de-facto standard for describing automotive system architecture and is a hugely comprehensive standard allowing designers full control from abstract system description to bare metal level deployment. However, the vehicle subsystems have still evolved to include multifarious high-level domains not covered by AUTOSAR e.g. Infotainment, Telematics etc. Therefore, it seems beneficial to bridge the semantic gaps between AUTOSAR applications and other standards of automotive application domains. The goal of this paper is to investigate interface semantic mapping and achieve transparent integration of domain-specific applications using the translation of semantics among the AUTOSAR platform software component models and other software components models of open source development platforms e.g. GENIVI. A key goal of such a modelling approach is the reuse of existing interface description languages and respective code generators. This will enhance future interoperability and decrease in incompatibility among these platforms. KW - Adaptation models KW - ARXML KW - Automotive engineering KW - component model KW - Connectors KW - FRAMEWORK KW - Franca IDL KW - interface KW - Receivers KW - semantic KW - synergy KW - traits Y1 - 2019 U6 - https://doi.org/10.23919/AE.2019.8867018 SP - 1 EP - 6 PB - University of West Bohemia ER - TY - CHAP A1 - Rudolph, Alexander A1 - Voget, Stefan A1 - Mottok, Jürgen T1 - A consistent safety case argumentation for artificial intelligence in safety related automotive systems – An Evaluation of a New Conceptual Functional Safety Approach T2 - Embedded Real-Time Software and Systems Conference (ERST²), Jan 2018, Toulouse/France N2 - Regarding the actual automotive safety norms the use of artificial intelligence (AI) in safety critical environments like autonomous driving is not possible. This paper introduces a new conceptual safety modelling approach and a safety argumentation to certify AI algorithms in a safety related context. Therefore, a model of an AI-system is presented first. Afterwards, methods and safety argumentation are applied to the model, whereas it is limited to a specific subset of AI-systems, i.e. off-board learning deterministic neural networks in this case. Other cases are left over for future research. The result is a consistent safety analysis approach that applies state of the art safety argumentations from other domains to the automotive domain. This will enforce the adaptation of the functional safety norm ISO26262 to enable general AI methods in safety critical systems in future. Y1 - 2018 UR - https://hal.archives-ouvertes.fr/hal-02156048 ER - TY - CHAP A1 - Mucha, Matthias A1 - Mottok, Jürgen A1 - Deubzer, Michael T1 - Probabilistic worst case response time estimation for multi-core real-time systems T2 - 2015 4th Mediterranean Conference on Embedded Computing (MECO), 14-18 June 2015, Budva, Montenegro N2 - Traditional methods rely on Static Timing Analysis techniques to compute the Worst Case Response Time for tasks in real-time systems. Multi-Core real-time systems are faced up with concurrent task executions, semaphore accesses, and task migrations where it may be difficult to obtain the worst case upper bound. A new three staged probabilistic estimation concept is presented. Worst Case Response Times are estimated for tasksets which consist of tasks with multiple time bases. The concept involves data generation with sample classification and sample size equalization, model fit and Worst Case Response Time estimation on the basis of extreme value distribution models. A Generalized Pareto Distribution model fit method which includes threshold detection and parameter estimation is also presented. Sample classification in combination with the new Generalized Pareto Distribution model fit method allows to estimate Worst Case Response Times with low pessimism ranges compared to estimation methods that uses the Generalized Pareto or the Gumbel max distribution without sample classification. Y1 - 2015 SP - 31 EP - 36 ER - TY - CHAP A1 - Reuter, Rebecca A1 - Hauser, Florian A1 - Muckelbauer, Daniel A1 - Stark, Theresa A1 - Antoni, Erika A1 - Mottok, Jürgen A1 - Wolff, Christian T1 - Using augmented reality in software engineering education? First insights to a comparative study of 2D and AR UML modeling T2 - Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS) and 31st Conference on Software Engineering Education and Training (CSEE&T), January 8 - 11, 2019 Grand Wailea, Hawaii N2 - Although there has been much speculation about the potential of Augmented Reality (AR) in teaching for learning material, there is a significant lack of empirical proof about its effectiveness and implementation in higher education. We describe a software to integrate AR using the Microsoft Hololens into UML (Unified Modeling Language) teaching. Its user interface is laid out to overcome problems of existing software. We discuss the design of the tool and report a first evaluation study. The study is based upon effectiveness as a metric for students performance and components of motivation. The study was designed as control group experiment with two groups. The experimental group had to solve tasks with the help of the AR modeling tool and the control group used a classic PC software. We identified tendencies that participants of the experimental group showed more motivation than the control group. Both groups performed equally well Y1 - 2019 U6 - https://doi.org/10.24251/HICSS.2019.938 SP - 7798 EP - 7807 ER - TY - CHAP A1 - Reuter, Rebecca A1 - Knietzsch, Marco A1 - Hauser, Florian A1 - Mottok, Jürgen T1 - Supporting Abstraction Skills Using Augmented Reality? T2 - ITiCSE '19, Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, July 2019, Aberdeen Scotland UK N2 - We investigated the potential of augmented reality (AR) to enable visualization of abstract concepts and present the first iteration of a teaching experiment that evaluates the use of AR as support for abstraction skills. Students were confronted with the task to present and explain information to different groups of stakeholders at the example of a coffee machine. Results show that students find it helpful to have a visual app-prototype and especially one that can be disassembled in different levels. The main goal was to sensitize students for the need to think about and to abstract information for certain roles and perspectives. Y1 - 2019 U6 - https://doi.org/10.1145/3304221.3325562 ER - TY - CHAP A1 - Schreistetter, Stefan A1 - Hauser, Florian A1 - Reuter, Rebecca A1 - Jahn, Sabrina A1 - Mottok, Jürgen T1 - Using Eye Tracking Data to analyze students’ tasks solving behavior in classroom contexts T2 - 12th International Conference of Education, Research and Innovation (ICERI 2019), Conference Proceedings, 2019, Seville (Spain) Y1 - 2019 SN - 978-84-09-14755-7 U6 - https://doi.org/10.21125/iceri.2019.1473 SN - 2340-1095 SP - 6087 EP - 6096 ER - TY - CHAP A1 - Jahn, Sabrina A1 - Gold-Veerkamp, Carolin A1 - Reuter, Rebecca A1 - Mottok, Jürgen A1 - Abke, Jörg T1 - Secure Software Engineering in academic education: students’ sreconceptions of it security T2 - 12th International Conference of Education, Research and Innovation (ICERI2019), 11-13 November 2019, Seville, Spain Y1 - 2019 U6 - https://doi.org/10.21125/iceri.2019.1624 SP - 6825 EP - 6834 ER - TY - CHAP A1 - Hauser, Florian A1 - Reuter, Rebecca A1 - Gegenfurtner, Andreas A1 - Gruber, Hans A1 - Mottok, Jürgen T1 - Eye movements in software modelling – what do they tell us about heuristics T2 - 12th International Conference of Education, Research and Innovation (ICERI 2019), Conference Proceedings, 2019, Seville (Spain) Y1 - 2019 SN - 978-84-09-14755-7 U6 - https://doi.org/10.21125/iceri.2019.1469 SP - 6064 EP - 6070 ER - TY - CHAP A1 - Steindl, Michael A1 - Mottok, Jürgen T1 - Optimizing Software Integration Testing by Considering Integration Testability and Test Complexity T2 - 10th IEEE Workshop on Intelligent Solutions in Embedded Systems, 2012, Klagenfurt, Austria Y1 - 2012 ER - TY - CHAP A1 - Soska, Alexander A1 - Mottok, Jürgen ED - Pivec, M. ED - Gründler, J. T1 - An Integrated Puzzle Game for Learning Programming Based on Students Syntactical Errors T2 - 11th European Conference on Game-Based Learning, Oct 5 - Oct 6, 2017, Graz N2 - Practical implementations are important for understanding the concepts and principles of programming. Self-employed coding encourages learners to acquire learning content and fosters the theory-practice transfer. Thereby, the earners face various difficulties and obstacles. Misconceptions and faults accompany the learners’ coding process and result in non-executable coding artefacts. The integrated compiler of programming environments provides information concerning error messages that indicate incorrect coding constructs. Usually due to unspecific and generic formulation, learners find it hard to understand these error messages. Yet these observable errors give valuable information about the learner’s coding behaviour and indicate current problems. These provide a link for adopted and appropriate learning assistance during the coding process. In this work in progress paper, we present first assumptions in assisting learners’ understanding and correction of programming errors by a game-based learning method. Our first approach focuses on the integration of a puzzle game into a programming environment. The game content adjusts to the error messages based on the analysis of the learner’s log file. We suggest that the integration of this approach rises the learner’s motivation to self-employed error handling and the quality of learning programming. Y1 - 2017 PB - Academic Conferences and Publishing International ER - TY - CHAP A1 - Osinski, Lukas A1 - Mottok, Jürgen ED - Schoeberl, Martin ED - Hochberger, Christian ED - Uhrig, Sascha ED - Brehm, Jürgen ED - Pionteck, Thilo T1 - S 3DES - Scalable Software Support for Dependable Embedded Systems T2 - Architecture of Computing Systems - ARCS 2019, 32nd International Conference, Copenhagen, Denmark, May 20-23, 2019, Proceedings N2 - Scalable Software Support for Dependable Embedded Systems (S3DES) achieves fault tolerance by utilizing spatial software-based triple modular redundancy for computational and voter processes on application level. Due to the parallel execution of the replicas on distinct CPU cores it makes a step towards software-based fault tolerance against transient and permanent random hardware errors. Additionally, the compliance with real-time requirements in terms of response time is enhanced compared to similar approaches. The replicated voters, the introduced mutual voter monitoring and the optimized arithmetic encoding allow the detection and compensation of voter failures without the utilization of backward recovery. Fault injection experiments on real hardware reveal that S3DES can detect and mask all injected data and program flow errors under a single fault assumption, whereas an uncoded voting scheme yields approx. 12% silent data corruptions in a similar experiment. Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-18656-2_2 SP - 15 EP - 27 PB - Springer CY - Cham ER - TY - CHAP A1 - Weiherer, Kerstin A1 - Osinski, Lukas A1 - Mottok, Jürgen T1 - Software-Based Triple Modular Redundancy with Fault-Tolerant Replicated Voters T2 - 32nd International Conference on Architecture of Computing Systems, ARCS Workshop 2019, 20-21 May 2019, Copenhagen, Denmark N2 - New computing-intensive applications such as assisted or highly automated driving are rapidly expanding the domain of safety-critical embedded systems, driven by the vision of the driverless car. This development makes it necessary to use high performance multi-core systems which are commercially available and provide more parallelism in terms of redundant execution units, however, at the cost of being less reliable. With the continuous down-scaling of semiconductor technology, computing hardware exhibits an increasing vulnerability against random hardware faults. Since these high-performance controller provide less or no hardware redundancy to ensure a safe execution of the application, software-only fault tolerance approaches are under current investigation. Our Scalable Software Support for Dependable Embedded Systems (S3DES) approach achieves fault tolerance by utilizing software-based triple modular redundancy for computational and optimized arithmetic encoded voter processes to ensure fault detection and error handling on application level. In S3DES voters are replicated to allow the compensation of voting failures. However, new challenges with regard to error propagation and multiple voting result outputs are introduced by this extension. We describe how mutual voter monitoring and threshold value checks could be used to establish a hierarchy among the replicated voters without re-introducing a reliability bottleneck in the sense of a single point of failure and resolve the aforementioned challenges. Y1 - 2019 UR - https://ieeexplore.ieee.org/abstract/document/8836210 SP - 1 EP - 8 ER - TY - CHAP A1 - Jahn, Sabrina A1 - Kaul, Nicolas A1 - Mottok, Jürgen T1 - Using or Misusing? Introducing Misuse Cases in a Software Engineering Course for Undergraduate Engineering Students T2 - ITiCSE '22 : Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education, Vol 1: July 8 - 13, 2022, Dublin Ireland N2 - Today's cyberphysical systems are increasingly prone to misuse. To secure existing and future software systems, introducing concepts of IT-Security and Secure Software Engineering (SecSE) in Software Engineering (SE) courses is essential for academic education of future software engineers. This is not only important for computer science students, but also for engineering students studying topics of computing and SE. However, only little research exists on integrating these topics into traditional SE courses, especially for engineering students in non-computer science majors. To narrow this gap, this paper contributes with the design and evaluation of an exercise on modeling misuse cases alongside use cases, based on the inductive teaching method problem-based learning (PBL). The exercise is part of an educational design research investigating which learning content and teaching methods are suitable for integrating IT-Security and SecSE topics into traditional SE education of engineering students to convey factual knowledge as well as raise awareness and interest for both topics during software development. We present the integration of the exercise design into a traditional SE course for engineering students and its evaluation to examine its suitability. We evaluated the exercise design regarding the suitability of the design components, the learning content of misuse cases and the intended learning goals as well as its impact on students' motivation, and their interest in IT-security. The paper then presents indications on the feasibility and success of the exercise design for teaching misuse cases to engineering students and sparking their interest in IT-Security. KW - educational design research KW - mis-use case KW - problem-based learning KW - inductive teaching KW - engineering students KW - higher education KW - secure software engineering KW - IT-Security Y1 - 2022 U6 - https://doi.org/10.1145/3502718.3524823 SP - 491 EP - 497 PB - Association for Computing Machinery CY - New York, NY ER - TY - CHAP A1 - Reuter, Rebecca A1 - Jahn, Sabrina A1 - Figas, Paula A1 - Bartel, Alexander A1 - Mottok, Jürgen A1 - Hagel, Georg T1 - Learning Tasks for Software Engineering Education: An exemplary development of learning tasks for software engineering based on didactic function and knowledge type T2 - Proceedings of the 3rd European Conference of Software Engineering Education (ECSEE'18), JUne 2018, Seeon, Bavaria, Germany N2 - Learning tasks play an important role in education and especially in higher education. However, there is a significant lack in research regarding these in higher education. A learning task shows several characteristics, whereas the didactic function of a task is mostly considered. Two characteristics of learning tasks are focused in this paper: The didactic function and the type knowledge. Existing types of learning tasks are presented as well as a proposal for learning tasks in software engineering education that considers didactic functions, like elaboration, training or application and types of knowledge, i.e. factual, conceptual, procedural and metacognitive knowledge. This paper aims to serve as a guidance for lecturers who have the purpose to create learning tasks that address both characteristics -- the didactic function and the type of knowledge. Y1 - 2018 U6 - https://doi.org/10.1145/3209087.3209097 SP - 1 EP - 7 ER - TY - CHAP A1 - Osinski, Lukas A1 - Langer, Tobias A1 - Mader, Ralph A1 - Mottok, Jürgen T1 - Challenges and Opportunities with Embedded Multicore Platforms BT - Spotlight on Real-Time and Dependability Concepts T2 - 9th European Congress Embedded Real Time Software and Systems (ERTS 2018), January 31st to Febraury 2nd 2018, Toulouse, France Y1 - 2018 UR - https://hal.archives-ouvertes.fr/hal-02156232/ ER - TY - CHAP A1 - Müller, L. A1 - Jahn, Sabrina A1 - Reuter, Rebecca A1 - Mottok, Jürgen ED - Chova, L. G. ED - Martínez, A. L. ED - Torres, I. C. T1 - A Task Design Concept For A Virtual Classroom For Requirements Engineering Education T2 - ICERI 2018 Proceedings, Seville, Spain Y1 - 2018 U6 - https://doi.org/10.21125/iceri.2018.1216 SP - 911 EP - 920 ER - TY - CHAP A1 - Seebauer, Stefan A1 - Jahn, Sabrina A1 - Mottok, Jürgen T1 - Escape Rooms for teaching IT-Security T2 - 12th International Conference of Education, Research and Innovation (ICERI2019), 11-13 November 2019, Seville, Spain Y1 - 2019 U6 - https://doi.org/10.21125/iceri.2019.1623 SP - 6815 EP - 6824 ER - TY - CHAP A1 - Krämer, Stefan A1 - Raab, Peter A1 - Mottok, Jürgen A1 - Racek, Stanislav T1 - Reliability analysis of real-time scheduling by means of stochastic simulation T2 - 2012 International Conference on Applied Electronics (AE 2012), Pilsen, Czech Republic, 5 - 7 September 2012 N2 - We present a simulation-based approach to reliability analysis combined with a schedulability analysis of software intensive embedded real-time systems. In such a system not only does the software execution have to be hardened against soft errors, e.g., by means of coded processing or diverse execution, but also the real-time requirements have still to be met in the presence of such error to guarantee a safe operation of the system. For that reason, the influence regarding the real-time characteristics of a given sporadic error with a certain error rate is analyzed by means of a Monte Carlo simulation. Different safety design patterns are introduced and compared. Furthermore, the impact on the schedulability of an embedded system is discussed. Y1 - 2012 SP - 151 EP - 156 ER - TY - CHAP A1 - Schumm, Michael A1 - Joseph, Saskia A1 - Schroll-Decker, Irmgard A1 - Niemetz, Michael A1 - Mottok, Jürgen T1 - Required competences in software engineering – pair programming as an instrument for facilitating life-long learning T2 - 15th International Conference on Interactive Collaborative Learning and 41st International Conference on Engineering Pedagogy, Villach N2 - The professional requirements in software engineering have become highly volatile due to the complexities of project development and rapid and innovative changes occurring in the field. Therefore, the development of inter-personal and social competences has gained central importance in the training of software developers. The following text will present a concept allowing to acquire competences by using Pair Programming as an instrument. Moreover, arrangements for learning and teaching will be presented facilitating the acquisition of these competences. By approaching the issue of competence acquisition on a technical as well as on an educational and social level, lifelong learning is facilitated and supported. Y1 - 2012 U6 - https://doi.org/10.1109/ICL.2012.6402229 ER -