TY - CONF AB - Testing is one of the most frequent means of quality assurance for software. Property-based testing aims at generating test suites for checking code against user-defined properties. Test input generation is, however, most often independent of the property to be checked, and is instead based on random or user-defined data generation.In this paper, we present property-driven unit testing of functions with numerical inputs and outputs. Alike property-based testing, it allows users to define the properties to be tested for. Contrary to property-based testing, it also uses the property for a targeted generation of test inputs. Our approach is a form of learning-based testing where we first of all learn a model of a given black-box function using standard machine learning algorithms, and in a second step use model and property for test input generation. This allows us to test both predefined functions as well as machine learned regression models. Our experimental evaluation shows that our property-driven approach is more effective than standard property-based testing techniques. AU - Sharma, Arnab AU - Melnikov, Vitaly AU - Hüllermeier, Eyke AU - Wehrheim, Heike ID - 32311 T2 - Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE) TI - Property-Driven Testing of Black-Box Functions ER - TY - CONF AB - To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Engels, Gregor ID - 29842 KW - continuous experimentation KW - model-driven KW - component-based software architectures KW - self-adaptation T2 - Proceedings of the 18th International Conference on Software Architecture Companion TI - Model-driven Continuous Experimentation on Component-based Software Architectures ER - TY - JOUR AU - Kißling, Magdalena ID - 32319 JF - Der Deutschunterricht (1) TI - „Beim Ausschneiden zeigen die Wörter mir ihre Bestandteile.“ Memoria als Deutungsöffnung bei Herta Müller ER - TY - JOUR AU - Kißling, Magdalena ID - 32320 JF - IMST-Newsletter (53) TI - Bildungsverantwortung im Deutschunterricht. Thesen zu einem bildungsgerechten Literaturunterricht ER - TY - JOUR AU - Huang, Jingyuan AU - Voigt, Markus AU - Wackenrohr, Steffen AU - Ebbert, Christoph AU - Keller, Adrian AU - Maier, Hans Jürgen AU - Grundmeier, Guido ID - 29806 JF - Materials and Corrosion KW - Materials Chemistry KW - Metals and Alloys KW - Surfaces KW - Coatings and Films KW - Mechanical Engineering KW - Mechanics of Materials KW - Environmental Chemistry KW - Materials Chemistry KW - Metals and Alloys KW - Surfaces KW - Coatings and Films KW - Mechanical Engineering KW - Mechanics of Materials KW - Environmental Chemistry KW - Materials Chemistry KW - Metals and Alloys KW - Surfaces KW - Coatings and Films KW - Mechanical Engineering KW - Mechanics of Materials KW - Environmental Chemistry SN - 0947-5117 TI - Influence of hydrogel coatings on corrosion and fatigue of iron in simulated body fluid VL - 73 ER - TY - CHAP AU - Häsel-Weide, Uta AU - Wallner, Melina AU - Hattermann, M. ED - Gutzmann, M. ED - Carle, U. ID - 32233 T2 - Anfangsunterricht für alle Kinder - Willkommen in der Schule! TI - Symmetrieverständnis von Anfang an ER - TY - JOUR AU - Krüger, Jan Tobias AU - Hoyer, Kay-Peter AU - Hengsbach, Florian AU - Schaper, Mirko ID - 32330 JF - Journal of Materials Research and Technology KW - Metals and Alloys KW - Surfaces KW - Coatings and Films KW - Biomaterials KW - Ceramics and Composites SN - 2238-7854 TI - Formation of insoluble silver-phases in an iron-manganese matrix for bioresorbable implants using varying laser beam melting strategies VL - 19 ER - TY - CONF AU - Chudalla, Nick AU - Bartley, Aurélie AU - Ditter, Jan AU - Meschut, Gerson AU - Wibbeke, Tim Michael ID - 32329 TI - Disjoining and repair strategies of structural joints in automotive lightweight structures ER - TY - JOUR AB - Aspects of data science surround us in many contexts, for example regarding climate change, air pollution, and other environmental issues. To open the “data-science-black-box” for lower secondary school students we developed a data science project focussing on the analysis of self-collected environmental data. We embed this project in computer science education, which enables us to use a new knowledge-based programming approach for the data analysis within Jupyter Notebooks and the programming language Python. In this paper, we evaluate the second cycle of this project which took place in a ninth-grade computer science class. In particular, we present how the students coped with the professional tool of Jupyter Notebooks for doing statistical investigations and which insights they gained. AU - PODWORNY, SUSANNE AU - Hüsing, Sven AU - SCHULTE, CARSTEN ID - 32335 IS - 2 JF - STATISTICS EDUCATION RESEARCH JOURNAL KW - Education KW - Statistics and Probability SN - 1570-1824 TI - A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING VL - 21 ER - TY - CONF AB - The market for microinverters is growing, especially in Europe. Driven by the strongly rising prices for electricity, many small photovoltaic energy systems are being installed. Since monitoring for these plants is often quite costly, their yields are often not logged. Since 2014, microinverters have been studied at the University of Paderborn. The investigations are divided into indoor and outdoor tests. In the indoor area conversion efficiencies as a function of load have been measured with high accuracy and ranked according to Euro- and CEC weightings. In the outdoor laboratory, the behavior in the real world is tested. Energy yields have been measured outdoors via identical and calibrated crystalline silicon PV modules. Here, the investigations were carried out with modules of the power of 215 Wp until the year 2020. Because of the increasing module power nowadays, modules with an output of 360 Wp are now being used. To assess the influence of PV module size, two extremes have been investigated: A rather small module with 215 Wp - as it has been used 10 years ago, and a brand-new module (2021) offering 360 Wp. Both types of modules contain 60 solar cells in series connection. Appling the low-power modules, the challenge for the different micro-inverters has been during weak-light conditions, using the high-power modules, some inverters temporarily reach their power limits and yield is reduced. A method using a reference configuration of inverter & module and a linear equation resulting in the actual yield, any module & inverter configuration can be characterized by just the two coefficients. AU - Krauter, Stefan AU - Bendfeld, Jörg AU - Möller, Marius Claus ID - 32334 T2 - Proceedings of the 49th IEEE Photovoltaic Specialists Conference TI - Microinverter testing update using high power modules: Efficiency, yield, and conformity to a new ”estimation formula” for variation of PV panel size ER - TY - CHAP AU - Häsel-Weide, Uta AU - Seitz, S. AU - Wallner, Melina AU - Wilke, Y. ED - Lutz, D. ED - Becker, J. ED - Buchhaupt, F. ED - Katzenbach, D. ED - Strecker, A. ED - Urban, M. ID - 32339 T2 - Qualifizierung für Inklusion. Sekundarstufe TI - Professionalisierung für inklusiven Mathematikunterricht. Interdisziplinäre Seminarkonzeption zur reflexiven Professionalisierung angehender Mathematiklehrkräfte in der Sekundarstufe ER - TY - JOUR AU - Hähn, K. AU - Häsel-Weide, Uta AU - Scherer, P. ID - 32338 IS - 2 JF - QfI - Qualifizierung für Inklusion TI - Diagnosegeleitete Förderung im inklusiven Mathematikunterricht der Grundschule – Professionalisierung durch reflektierte Handlungspraxis in der Lehrer*innenbildung. VL - 3 ER - TY - CONF AB - This paper provides a hybrid energy system model created in Matlab/Simulink which is based on photovoltaics as its main energy source. The model includes a hybrid energy storage which consists of a short-term lithium-ion battery and hydrogen as long-term storage to ensure autonomy even during periods of low PV production (e.g., in winter). The sectors heat and electricity are coupled by using the waste-heat generated by production and reconversion of hydrogen through an electrolyser respectively a fuel cell. A heat pump has been considered to cover the residual heat demand (for well insulated homes). Within this paper a model of the space heating system as well as the hot water heating system is presented. The model is designed for the simulation and analysis of a whole year energy flow by using a time series of loads, weather and heat profiles as input. Moreover, results of the energy balance within the energy system by simulation of a complete year by varying the orientation (elevation and azimuth) of the PV system and the component sizing, such as the lithium-ion battery capacity, are presented. It turned out that a high amount of heating energy can be saved by using the waste heat generated by the electrolyser and the fuel cell. The model is well suited for the analysis of the effects of different component dimensionings in a hydrogen-based energy system via the overall energy balance within the residential sector. AU - Möller, Marius Claus AU - Krauter, Stefan ID - 32333 T2 - Proceedings of the 49th IEEE Photovoltaic Specialists Conference TI - Model of a Self-Sufficient PV Home using a Hybrid Storage System based on Li-Ion Batteries and Hydrogen Storage with Waste Heat Utilization ER - TY - JOUR AB - In this paper, a model of a hybrid, hydrogen-based energy system for a household which includes the heating sector is presended. With such an energy system it's possible to enable energy autarky over a whole year based on solar energy. The scope of this study was to present a verified hybrid energy system model created in Simulink which can be used to prospectively size future similar energy systems where hydrogen in combination with a li-ion battery shall be used as energy storage type. AU - Möller, Marius Claus AU - Krauter, Stefan ID - 30262 JF - Energies / Special Issue "Sustainable Energy Concepts for Energy Transition" SN - 1996-1073 TI - Hybrid Energy System Model in Matlab/Simulink based on Solar Energy, Lithium-Ion Battery and Hydrogen VL - 15 (6), 2201 ER - TY - JOUR AB - Agility, a key component of team ball sports, describes an athlete´s ability to move fast in response to changing environments. While agility requires basic cognitive functions like processing speed, it also requires more complex cognitive processes like working memory and inhibition. Yet, most agility tests restrict an assessment of cognitive processes to simple reactive times that lack ecological validity. Our aim in this study was to assess agility performance by means of total time on two agility tests with matched motor demands but with both low and high cognitive demands. We tested 22 female team athletes on SpeedCourt, using a simple agility test (SAT) that measured only processing speed and a complex agility test (CAT) that required working memory and inhibition. We found excellent to good reliability for both our SAT (ICC = .79) and CAT (ICC =.70). Lower agility performance on the CAT was associated with increased agility total time and split times ( p < .05). These results demonstrated that agility performance depends on the complexity of cognitive demands. There may be interference-effects between motor and cognitive performances, reducing speed when environmental information becomes more complex. Future studies should consider agility training models that implement complex cognitive stimuli to challenge athletes according to competitive demands. This will also allow scientists and practitioners to tailor tests to talent identification, performance development and injury rehabilitation. AU - Büchel, Daniel AU - Gokeler, Alli AU - Heuvelmans, Pieter AU - Baumeister, Jochen ID - 32087 JF - Perceptual and Motor Skills KW - Sensory Systems KW - Experimental and Cognitive Psychology SN - 0031-5125 TI - Increased Cognitive Demands Affect Agility Performance in Female Athletes - Implications for Testing and Training of Agility in Team Ball Sports ER - TY - CHAP AU - zur Heiden, Philipp AU - Priefer, Jennifer AU - Beverungen, Daniel ED - Bruhn, Manfred ED - Hadwich, Karsten ID - 32363 SN - 2662-3382 T2 - Forum Dienstleistungsmanagement TI - Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes ER - TY - CONF AU - Rossel, Moritz Sebastian AU - Meschut, Gerson ID - 32388 T2 - Proceedings of the 6th Conference on Steels in Cars and Trucks TI - Method development for increasing the prediction quality of mechanical joining process simulations by friction modeling based on local joining process parameters ER - TY - JOUR AB - Koopman operator theory has been successfully applied to problems from various research areas such as fluid dynamics, molecular dynamics, climate science, engineering, and biology. Applications include detecting metastable or coherent sets, coarse-graining, system identification, and control. There is an intricate connection between dynamical systems driven by stochastic differential equations and quantum mechanics. In this paper, we compare the ground-state transformation and Nelson's stochastic mechanics and demonstrate how data-driven methods developed for the approximation of the Koopman operator can be used to analyze quantum physics problems. Moreover, we exploit the relationship between Schrödinger operators and stochastic control problems to show that modern data-driven methods for stochastic control can be used to solve the stationary or imaginary-time Schrödinger equation. Our findings open up a new avenue towards solving Schrödinger's equation using recently developed tools from data science. AU - Klus, Stefan AU - Nüske, Feliks AU - Peitz, Sebastian ID - 29673 IS - 31 JF - Journal of Physics A: Mathematical and Theoretical TI - Koopman analysis of quantum systems VL - 55 ER - TY - GEN AB - Context: Cryptographic APIs are often misused in real-world applications. Therefore, many cryptographic API misuse detection tools have been introduced. However, there exists no established reference benchmark for a fair and comprehensive comparison and evaluation of these tools. While there are benchmarks, they often only address a subset of the domain or were only used to evaluate a subset of existing misuse detection tools. Objective: To fairly compare cryptographic API misuse detection tools and to drive future development in this domain, we will devise such a benchmark. Openness and transparency in the generation process are key factors to fairly generate and establish the needed benchmark. Method: We propose an approach where we derive the benchmark generation methodology from the literature which consists of general best practices in benchmarking and domain-specific benchmark generation. A part of this methodology is transparency and openness of the generation process, which is achieved by pre-registering this work. Based on our methodology we design CamBench, a fair "Cryptographic API Misuse Detection Tool Benchmark Suite". We will implement the first version of CamBench limiting the domain to Java, the JCA, and static analyses. Finally, we will use CamBench to compare current misuse detection tools and compare CamBench to related benchmarks of its domain. AU - Schlichtig, Michael AU - Wickert, Anna-Katharina AU - Krüger, Stefan AU - Bodden, Eric AU - Mezini, Mira ID - 32409 KW - cryptography KW - benchmark KW - API misuse KW - static analysis TI - CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite ER - TY - CHAP AU - Tönsing, Johanna ED - Hofmann, Michael ED - Becker, Karina ID - 32419 T2 - Rassismussensibler Literaturunterricht. Neue Perspektiven einer kulturwissenschaftlichen Literaturdidaktik TI - Chancen für einen rassismussensiblen Literaturunterricht - didaktische Perspektiven für das Lesen von Menschenzoogeschichten in der Grundschule am Beispiel von Rainer Maria Rilkes Gedicht "Die Aschanti. Jardin d´acclimatation" (1902) ER -