TY - VIDEO A1 - Mauerer, Wolfgang A1 - Wagner, Daniel T1 - Cyclic Tests Unleashed: Large-Scale RT Analysis with Jitterdebugger T2 - Open Source Summit, North America, 17.07.2019 Y1 - 2019 UR - https://www.youtube.com/watch?v=wNQ24TFjzCw ER - TY - CHAP A1 - Mauerer, Wolfgang T1 - Are any big brothers watching you, and if yes, what can they tell about Debian T2 - DebConf18 Hsinchu, Taiwan N2 - Debian, as a collection of software packages and components, is known to be one of the largest software projects in the history of mankind. Combined with a traceable history over many years, the artefacts created by Debian developers and users make it one of science’s favourite targets to quantitatively or qualitatively understand how real-world software development works (or does not), how people collaborate, and many other other related questions. Unfortunately, while scientists make ample use of the resources and artefacts created by FLOSS and friends, the exchange of insights and ideas does not seem to extend in both directions: Developers, users and integrators are often unaware of results obtained in science. This talk will introduce the Debian community to a selection the most important results obtained by scientific (software engineering) research, with a special focus on large-scale socio-technical analysis of projects like Debian, and the possible implications and improvements these may bring to Debian development itself. Y1 - 2018 UR - https://meetings-archive.debian.net/pub/debian-meetings/2018/DebConf18/2018-08-03/are-any-big-brothers-watching-you-and-if.webm ER - TY - VIDEO A1 - Mauerer, Wolfgang A1 - Ramsauer, Ralf T1 - Torturing Git for Fun and Profit T2 - Microsoft Developer Meetup Regensburg 02.04.2019 N2 - In diesem Talk blicken Prof. Dr. Wolfgang Mauerer und Ralf Ramsauer unter die Haube des verteilten Versionskontrollsystems Git. Neben einer genauen Beschreibung der Strukturen und Plumbing APIs, mit denen Git intern Commits erzeugt und verknüpft, gehen die Vortragenden auch auf nützliche Features und Standards ein, welche die Kollaborition in großen Open-Source Projekten erleichtern. Y1 - 2019 UR - https://www.youtube.com/watch?v=CrUwmO4tvLI ER - TY - JOUR A1 - Feld, Sebastian A1 - Roch, Christoph A1 - Gabor, Thomas A1 - Seidel, Christian A1 - Neukart, Florian A1 - Galter, Isabella A1 - Mauerer, Wolfgang A1 - Linnhoff-Popien, Claudia T1 - A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer JF - Frontiers in ICT N2 - he Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization problem (NPO) that has been of great interest for decades for both, science and industry. The CVRP is a variant of the vehicle routing problem characterized by capacity constrained vehicles. The aim is to plan tours for vehicles to supply a given number of customers as efficiently as possible. The problem is the combinatorial explosion of possible solutions, which increases superexponentially with the number of customers. Classical solutions provide good approximations to the globally optimal solution. D-Wave's quantum annealer is a machine designed to solve optimization problems. This machine uses quantum effects to speed up computation time compared to classic computers. The problem on solving the CVRP on the quantum annealer is the particular formulation of the optimization problem. For this, it has to be mapped onto a quadratic unconstrained binary optimization (QUBO) problem. Complex optimization problems such as the CVRP can be translated to smaller subproblems and thus enable a sequential solution of the partitioned problem. This work presents a quantum-classic hybrid solution method for the CVRP. It clarifies whether the implementation of such a method pays off in comparison to existing classical solution methods regarding computation time and solution quality. Several approaches to solving the CVRP are elaborated, the arising problems are discussed, and the results are evaluated in terms of solution quality and computation time. Y1 - 2019 U6 - https://doi.org/10.3389/fict.2019.00013 VL - 6 SP - 1 EP - 13 PB - Frontiers ER - TY - CHAP A1 - Ramsauer, Ralf A1 - Bulwahn, Lukas A1 - Lohmann, Daniel A1 - Mauerer, Wolfgang ED - Zhang, Yinqian ED - Sion, Radu T1 - The Sound of Silence : Mining Security Vulnerabilities from Secret Integration Channels in Open-Source Projects T2 - Proceedings of the 2020 ACM SIGSAC Conference on Cloud Computing Security Workshop: 09.11.2020, virtual event N2 - Public development processes are a key characteristic of open source projects. However, fixes for vulnerabilities are usually discussed privately among a small group of trusted maintainers, and integrated without prior public involvement. This is supposed to prevent early disclosure, and cope with embargo and non-disclosure agreement (NDA) rules. While regular development activities leave publicly available traces, fixes for vulnerabilities that bypass the standard process do not. We present a data-mining based approach to detect code fragments that arise from such infringements of the standard process. By systematically mapping public development artefacts to source code repositories, we can exclude regular process activities, and infer irregularities that stem from non-public integration channels. For the Linux kernel, the most crucial component of many systems, we apply our method to a period of seven months before the release of Linux 5.4. We find 29 commits that address 12 vulnerabilities. For these vulnerabilities, our approach provides a temporal advantage of 2 to 179 days to design exploits before public disclosure takes place, and fixes are rolled out. Established responsible disclosure approaches in open development processes are supposed to limit premature visibility of security vulnerabilities. However, our approach shows that, instead, they open additional possibilities to uncover such changes that thwart the very premise. We conclude by discussing implications and partial countermeasures. Y1 - 2020 SN - 9781450380843 U6 - https://doi.org/10.1145/3411495.3421360 SP - 147 EP - 157 PB - ACM CY - New York, NY, USA ER - TY - CHAP A1 - Mauerer, Wolfgang A1 - Silberhorn, Christine T1 - Numerical Analysis of Parametric Downconversion T2 - AIP Conference Proceedings N2 - Parametric downconversion (PDC) is a popular technique to produce twin beams of photons that are entangled in multiple degrees of freedom. The generated states form the basis for numerous applications that require entanglement. An exact quantification of this resource is therefore essential, for instance for quantum cryptography that relies on a complete knowledge of the correlation contained in the state. While the determination of an entanglement monotone for the PDC process is only possible analytically in special cases, an exact calculation must usually be performed numerically. Recent work by Mikhailova et al. [2] analyses a certain class of PDC states for which the concurrence entanglement measure can be obtained by an analytical approximation. In this contribution, we analyse the validity of the approximation by comparison with exact numerical methods. Y1 - 2009 U6 - https://doi.org/10.1063/1.3131312 VL - 1110 IS - 1 PB - AIP Publishing ER - TY - GEN A1 - Mauerer, Wolfgang T1 - OSS Community, Health and Ecosystem Research: Theory and, or Theory versus Practice? T2 - 2nd International Workshop on Software Health (SoHEAL@ICSE, Montréal), 2019 Y1 - 2019 ER - TY - CHAP A1 - Ramsauer, Ralf A1 - Lohmann, Daniel A1 - Mauerer, Wolfgang T1 - System Software for Manufacturing Systems T2 - Proc. First European Advances in Digital Transformation Conference, (2018) Y1 - 2018 ER - TY - CHAP A1 - Mauerer, Wolfgang T1 - A Virtual Computing Platform for the Internet of Things T2 - Embedded Linux Conference (San Diego), 2016 Y1 - 2016 ER - TY - CHAP A1 - Wintersperger, Karen A1 - Safi, Hila A1 - Mauerer, Wolfgang T1 - QPU-System Co-Design for Quantum HPC Accelerators? T2 - Architecture of Computing Systems: 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13–15, 2022, Proceedings N2 - The use of quantum processing units (QPUs) promises speed-ups for solving computational problems, but the quantum devices currently available possess only a very limited number of qubits and suffer from considerable imperfections. One possibility to progress towards practical utility is to use a co-design approach: Problem formulation and algorithm, but also the physical QPU properties are tailored to the specific application. Since QPUs will likely be used as accelerators for classical computers, details of systemic integration into existing architectures are another lever to influence and improve the practical utility of QPUs. In this work, we investigate the influence of different parameters on the runtime of quantum programs on tailored hybrid CPU-QPU-systems. We study the influence of communication times between CPU and QPU, how adapting QPU designs influences quantum and overall execution performance, and how these factors interact. Using a simple model that allows for estimating which design choices should be subjected to optimisation for a given task, we provide an intuition to the HPC community on potentials and limitations of co-design approaches. We also discuss physical limitations for implementing the proposed changes on real quantum hardware devices. Y1 - 2022 SN - 978-3-031-21866-8 U6 - https://doi.org/10.1007/978-3-031-21867-5_7 N1 - Preprint unter: https://arxiv.org/abs/2208.11449 SP - 100 EP - 114 PB - Springer ER - TY - INPR A1 - Murr, Florian A1 - Mauerer, Wolfgang T1 - McFSM: Near Turing-Complete Finite-State Based Programming N2 - Finite state machines (FSMs) are an appealing mechanism for simple practical computations: They lend themselves to very effcient and deterministic implementation, are easy to understand, and allow for formally proving many properties of interest. Unfortunately, their computational power is deemed insuffcient for many tasks, and their usefulness has been further hampered by the state space explosion problem and other issues when naïvely trying to scale them to sizes large enough for many real–life applications. This paper expounds on theory and implementation of multiple coupled fnite state machines (McFSMs), a novel mechanism that combines benefits of FSMs with near Turing-complete, practical computing power, and that was designed from the ground up to support static analysis and reasoning. We develop an elaborate category–theoretical foundation based on non–deterministic Mealy machines, which gives a suitable algebraic description for novel ways of blending di#erent computing models. Our experience is based on a domain specific language and an integrated development environment that can compile McFSM models to multiple target languages, applying it to use-cases based on industrial scenarios. We discuss properties and advantages of McFSMs, explain how the mechanism can interact with real–world systems and existing code without sacrificing provability, determinism or performance. We discuss how McFSMs can be used to replace and improve on commonly employed programming patterns, and show how their effcient handling of large state spaces enables them to be used as core building blocks for distributed, safety critical, and real–time systems of industrial complexity, which contributes to the longdesired goal of providing executable specifications. KW - Finite state machines KW - Mealy machines KW - automata KW - coupled machines KW - executable specifcation KW - category theory KW - generative approaches KW - formal models KW - static analysis Y1 - 2021 UR - https://www.lfdr.de/Publications/2021/MuMa21.pdf ER - TY - CHAP A1 - Mauerer, Wolfgang A1 - Klessinger, Stefan A1 - Scherzinger, Stefanie T1 - Beyond the badge: reproducibility engineering as a lifetime skill T2 - Proceedings 4th International Workshop on Software Engineering Education for the Next Generation SEENG 2022, 17 May 2022, Pittsburgh, PA, USA N2 - Ascertaining reproducibility of scientific experiments is receiving increased attention across disciplines. We argue that the necessary skills are important beyond pure scientific utility, and that they should be taught as part of software engineering (SWE) education. They serve a dual purpose: Apart from acquiring the coveted badges assigned to reproducible research, reproducibility engineering is a lifetime skill for a professional industrial career in computer science. SWE curricula seem an ideal fit for conveying such capabilities, yet they require some extensions, especially given that even at flagship conferences like ICSE, only slightly more than one-third of the technical papers (at the 2021 edition) receive recognition for artefact reusability. Knowledge and capabilities in setting up engineering environments that allow for reproducing artefacts and results over decades (a standard requirement in many traditional engineering disciplines), writing semi-literate commit messages that document crucial steps of a decision-making process and that are tightly coupled with code, or sustainably taming dynamic, quickly changing software dependencies, to name a few: They all contribute to solving the scientific reproducibility crisis, and enable software engineers to build sustainable, long-term maintainable, software-intensive, industrial systems. We propose to teach these skills at the undergraduate level, on par with traditional SWE topics. KW - reproducibility engineering KW - teaching software engineering Y1 - 2022 SN - 9781450393362 U6 - https://doi.org/10.1145/3528231.3528359 N1 - Preprint unter: https://doi.org/10.48550/arXiv.2203.05283 SP - 1 EP - 4 PB - ACM CY - New York, NY, USA ER -