TY - CHAP A1 - Gruber, Hans A1 - Wolff, Christian A1 - Mottok, Jürgen A1 - Bazo, Alexander A1 - Hauser, Florian A1 - Schreistetter, Stefan T1 - Tutorial on Software Engineering Education in Co-Located Multi-User Eye-Tracking-Environments T2 - Proceedings of the 32nd IEEE Conference on Software Engineering Education and Training: Munich, November 2020 N2 - We briefly describe a tutorial on the application of Eye-Tracking technology for Software Engineering Education. We will showcase our setup of a large-scale Eye-Tracking-Classroom and its usage for real-time improvement of traditional learning scenarios in Software Engineering Education. We will focus on the integration of gaze data into modern integrated development environments (IDEs) and demonstrate a complete workflow for its usage in co-located multi-user Eye-Tracking-Environments. KW - eye-tracking KW - software engineering education KW - multi-user eye tracking KW - real-time learning scenarios Y1 - 2020 U6 - https://doi.org/10.1109/CSEET49119.2020.9206170 ER - TY - CHAP A1 - Inderwies, Tom A1 - Mottok, Jürgen T1 - Secure Software Update of a Secure Module in the Power Grid T2 - Proceedings of the Regensburg Applied Research Conference 2020 (RARC 2020), July 31st Y1 - 2020 UR - https://doi.org/10.35096/othr/pub-641 SP - 25 EP - 31 ER - TY - CHAP A1 - Hauser, Florian A1 - Schreistetter, Stefan A1 - Reuter, Rebecca A1 - Mottok, Jürgen A1 - Gruber, Hans A1 - Holmqvist, Kenneth A1 - Schorr, Nick T1 - Code reviews in C++: Preliminary results from an eye tracking study T2 - ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and ApplicationsJune 2020 N2 - Code reviews are an essential part of quality assurance in modern software projects. But despite their great importance, they are still carried out in a way that relies on human skills and decisions. During the last decade, there have been several publications on code reviews using eye tracking as a method, but only a few studies have focused on the performance differences between experts and novices. To get a deeper understanding of these differences, the following experiment was developed: This study surveys expertise-related differences in experts’, advanced programmers’, and novices’ eye movements during the review of eight short C++ code examples, including correct and erroneous codes. A sample of 35 participants (21 novices, 14 advanced and expert programmers) were recruited. A Tobii Spectrum 600 was used for the data collection. Measures included participants’ eye movements during the code review, demographic background data, and cued retrospective verbal comments on replays of their own eye movement recordings. Preliminary results give proof for experience-related differences between participants. Advanced and expert programmers performed significantly better in case of error detection and the eye tracking data implies a more efficient reviewing strategy. Y1 - 2020 SN - ISBN 9781450371346 U6 - https://doi.org/10.1145/3379156.3391980 SP - 1 EP - 5 ER - TY - CHAP A1 - Hauser, Florian A1 - Stark, Theresa A1 - Mottok, Jürgen A1 - Gruber, Hans A1 - Reuter, Rebecca T1 - Deliberate Practice in Programming: How is it carried out by programmers? T2 - ECSEE '20: Proceedings of the 4th European Conference on Software Engineering Education, Seeon, Germany, June 2020 N2 - This work in progress study examines through which activities programmers perform deliberate practice to improve their own skills in coding and programming. For this reason, a qualitative questionnaire was developed and conducted with a sample of 22 participants. The results indicate that programmers perform formal and informal forms of training and learning. Typically, a classical programming training in the context of a university course or for work-related reasons is a first step in the acquisition of expertise. Building on these basic skills, non-formal and informal learning activities are carried out by the learners. Especially the social interaction and the collaborative work with other programmers is of great importance in this context. The activities mentioned by the test persons fulfil the characteristics of deliberate practice and will be examined more closely in a further study. Y1 - 2020 SN - ISBN 9781450377522 U6 - https://doi.org/10.1145/3396802.3396815 SP - 42 EP - 46 ER - TY - JOUR A1 - De, Sangita A1 - Niklas, Michael A1 - Brian, Rooney A1 - Mottok, Jürgen A1 - Brada, Premek T1 - Semantic Mapping of Component Framework Interface Ontologies for Interoperability of Vehicle Applications JF - Procedia Computer Science N2 - Over the past few years, ontology merging, and ontology semantic alignment has gained significant interest as research topics in automotive application domain for finding solutions to semantic data heterogeneity. To accomplish the complex and novel vehicle service requirements such as autonomous driving, V2X (Vehicle-to-Vehicle communication), etc. the automotive applications involve collaborations of several platform-specific data from heterogeneous enterprises component frameworks and consequently there has been increase in data interoperability issues. At the application component level, data interoperability relies on the semantic alignment or mapping between the various component framework interfaces data models represented as XML schemas (XSD). With the XML schemas being the preferred standard for the interface description exchange between most of the automotive application domain components, however, the data interoperability between the semantically equivalent but structurally different data constructs of multiple heterogeneous XSDs stands as a challenge in the absence of an ontology-based approach. To confront this crucial requirement for data interoperability and to increase in effect the reuse of existing components through their interfaces, we propose an approach to semantically map the various component framework interface data models when expressed as ontology schemas, based on the exploration of semantic synergies. The transformation between XSD and RDF (Resource Description Framework) schema representations and the use of queries over the ontology schemas for semantic mapping are demonstrated including a real-world case study. KW - component KW - interface KW - mapping KW - ontology KW - semantic Y1 - 2020 U6 - https://doi.org/10.1016/j.procs.2020.03.151 VL - 170 IS - 2 SP - 813 EP - 818 PB - Elsevier ER - TY - RPRT A1 - Taiber, Joachim A1 - Chowdury, M. A1 - Hammond, G. A1 - Hipp, V. A1 - Huttner, B. A1 - Lonien, J. A1 - Mottok, Jürgen A1 - Neukart, Florian A1 - Stengel, T. T1 - Unsettled Topics Concerning the Impact of Quantum Technologies on Automotive Cybersecurity N2 - Quantum computing is considered the “next big thing” when it comes to solving computational problems impossible to tackle using conventional computers. However, a major concern is that quantum computers could be used to crack current cryptographic schemes designed to withstand traditional cyberattacks. This threat also impacts future automated vehicles as they become embedded in a vehicle-to-everything (V2X) ecosystem. In this scenario, encrypted data is transmitted between a complex network of cloud-based data servers, vehicle-based data servers, and vehicle sensors and controllers. While the vehicle hardware ages, the software enabling V2X interactions will be updated multiple times. It is essential to make the V2X ecosystem quantum-safe through use of “post-quantum cryptography” as well other applicable quantum technologies. This SAE EDGE™ Research Report considers the following three areas to be unsettled questions in the V2X ecosystem: How soon will quantum computing pose a threat to connected and automated vehicle technologies? What steps and measures are needed to make a V2X ecosystem “quantum-safe?” What standardization is needed to ensure that quantum technologies do not pose an unacceptable risk from an automotive cybersecurity perspective? Y1 - 2020 U6 - https://doi.org/10.4271/EPR2020026 SN - 2640-3536 CY - Warrendale, Pennsylvania, USA ER -