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Auflistung Softwaretechnik-Trends 43(1) - 2023 nach Titel
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- Konferenzbeitrag13th Symposium on Software Performance (SSP)(Softwaretechnik-Trends Band 43, Heft 1, 2023) Klinaku, Floriment; Becker, SteffenThe 13th edition of the Symposium on Software Performance, held in Stuttgart, brought together researchers and practitioners interested in all aspects of software performance. In this edition, almost 50 participants attended the symposium. Participants were representing 17 different affiliations, including well-known educational and research institutions from Germany and prominent companies from the industry.
- ZeitschriftenartikelAcyclic Dependencies Principle ADP(Softwaretechnik-Trends Band 43, Heft 1, 2023) Herrmann, AndreaGlossar: Acyclic Dependencies Principle ADP
- KonferenzbeitragAdapting Kubernetes to IIoT and Industry 4.0 protocols - An initial performance analysis(Softwaretechnik-Trends Band 43, Heft 1, 2023) Alamoush, Ahmad; Eichelberger, HolgerKubernetes (K8s) is one of the most frequently used container orchestration tools offering, as it offers a rich set of functions to manage containerized applications, it is customizable and extensible. Container virtualization of applications and their orchestration on heterogeneous resources including edge devices is a recent trend in Industrial Internet of Things (IIoT)/Industry 4.0, where K8s is also applied. However, IIoT/Industry 4.0 is a domain with high standardization requirements. Besides equipment standards, e.g., for electrical control cabinets, there are also demands to standardize network protocols, data formats or information models. Such standards can foster interoperability and reduce complexity or deployment/integration costs. Here, the proprietary communication protocol of K8s and similar orchestrators can be an obstacle for adoption. To explore this situation from an interoperability and integration perspective, we present in this paper an approach to replace the communication protocol of K8s without modifying its code base. We show by an experiment that applying our approach with three current forms of IIoT communication, namely Message Queuing Telemetry Transport (MQTT), Ad vanced Message Queuing Protocol (AMQP), and Asset Administration Shell (AAS), does not significantly affect the validity and the performance of K8s.
- KonferenzbeitragArchitecture Recovery from Fortran Code with Kieker(Softwaretechnik-Trends Band 43, Heft 1, 2023) Jung, Reiner; Schnoor, Henning; Gundlach, Sven; Hasselbring, WilhelmScientific models are software systems, which are key to understand and assess a range of challenges, such as climate change mitigation. However, such models are usually developed over decades. To support program comprehension for software maintenance and restructuring, we designed an architecture recovery process for Fortran-based scientific models utilizing Kieker 4 C to collect call traces at runtime. Furthermore, we derive structural information from the recovered architecture. In this paper, we present our analysis process and some results from analyzing three scientific models. Additionally, we describe how to use the information obtained by our analysis to identify possible optimizations of the scientific models.
- KonferenzbeitragCloud-Native Scalability Benchmarking with Theodolite: Applied to the TeaStore Benchmark(Softwaretechnik-Trends Band 43, Heft 1, 2023) Henning, Sören; Wetzel, Benedikt; Hasselbring, WilhelmTheodolite is a framework for benchmarking the scalability of cloud-native applications such as microservices. It automates deployment and monitoring of a cloud-native application for different load intensities and provisioned cloud resources and assesses whether specified service level objectives (SLOs) are fulfilled. Provided as a Kubernetes Operator, Theodolite integrates with the cloud-native ecosystem and runs existing deployment configurations of various systems under-test, load generators, and benchmarks. We givea presentation on Theodolite and exemplify its usage by benchmarking the scalability of the TeaStore microservice reference application.
- KonferenzbeitragCo-Simulation of Hardware and Software in Palladio(Softwaretechnik-Trends Band 43, Heft 1, 2023) Weber, Sebastian; Henss, Jörg; Reussner, RalfTo ensure the fulfilment of quality requirements, for example performance, at design time, the software architect can model the software and simulate it with Palladio. The accuracy of the model depends on the estimation of resource demands, which is difficult and error prone. Therefore, in the later stages of development, values should be evaluated based on available information instead of being estimated. An unavailable component implementation or delayed hardware access should not force the software architect to stick with the estimation, but be compensated otherwise, for example with prototypes or hardware simulation. This paper presents six approaches to adapt the evaluation of hardware resource usage in the Palladio software architecture simulation by incorporating co-simulation techniques to compensate different shortcomings. Possible usage scenarios of the approaches are presented and put in relation to the estimated development effort. We present our initial results of implementing one of the approaches, the integration of a hardware-simulation-based resource demand estimation in Palladio. It can compensate unavailable hardware, despite hardware specifications and software being available. The results show that the parameterization options of the hardware simulation were not sufficient to achieve the desired accuracy and the simulation time increases significantly.
- ZeitschriftenartikelDeutscher Preis für Software-Qualität 2023(Softwaretechnik-Trends Band 43, Heft 1, 2023) Baumgartner, Manfred; Friske, Mario; Schlich, Maud; Sokenou, Dehla; Vosseberg, Karin; Weißleder, StephanDeutscher Preis für Software-Qualität 2023
- KonferenzbeitragDeveloping an AI-enabled Industry 4.0 platform - Performance experiences on deploying AI onto an industrial edge device(Softwaretechnik-Trends Band 43, Heft 1, 2023) Eichelberger, Holger; Palmer, Gregory; Niederée, ClaudiaMaximizing the benefits of AI for Industry 4.0 is about more than just developing effective new AI methods. Of equal importance is the successful integration of AI into production environments. One open challenge is the dynamic deployment of AI on industrial edge devices within close proximity to manufacturing machines. Our IIP-Ecosphere1 platform was designed to overcome limitations of existing Industry 4.0 platforms. It supports flexible AI deployment through employing a highly configurable low-code based approach, where code for tailored platform components and applications is generated. In this paper, we measure the performance of our platform on an industrial demonstrator and discuss the impact of deploying AI from a central server to the edge. As result, AI inference automatically deployed on an industrial edge is possible, but in our case three times slower than on a desktop computer, requiring still more optimizations.
- KonferenzbeitragErreichen von Usable Privacy durch die Einbindung bewährter RE-Methoden in den Human-Centered-Design-Prozess(Softwaretechnik-Trends Band 43, Heft 1, 2023) Schmitt, Hartmut; Groen, Eduard C.Bei der Entwicklung interaktiver Systeme sind die Nutzer*innen und deren Anforderungen und Bedarfe von zentraler Bedeutung. Ein gängiges Verfahren, um die Nutzer*innen eines interaktiven Systems in den Entwicklungsprozess miteinzubeziehen, ist der in ISO 9241-210 beschriebene menschzentrierte Gestaltungsprozess (HCD-Prozess). Die dort definierten Grundsätze und Aktivitäten sind jedoch eher abstrakt gehalten und bieten nur wenig konkrete Anleitung für die Umsetzung, wodurch der HCD-Prozess im Requirements Engineering (RE) häufig keine Anwendung findet. In diesem Beitrag zeigen wir auf, wie der HCD-Prozess mit etablierten RE-Methoden und -Techniken sinnvoll erweitert werden kann und wie es durch diese Kombination gelingt, die Menschen stärker in den Mittelpunkt des Entwicklungsprozesses zu rücken.
- KonferenzbeitragExperiences from Building the Open Database Performance Ranking with benchANT(Softwaretechnik-Trends Band 43, Heft 1, 2023) Seybold, Daniel; Domaschka, JörgBenchmarking is an important method to advance database management systems (DBMS) from the industry and research perspective. Ensuring transparent and reproducible results is a key requirement to ensure the acceptance and credibility of benchmarking. To advance the research towards transparent and reproducible benchmark data, we report on building an open DBMS performance ranking with 130 benchmark configurations and ensuring comparability, transparency and reproducibility. We derive the required data on cloud, resource, DBMS and benchmark level to enable transparency and reproducibility and demonstrate the generation of such data sets with benchANT. Building upon such data, we outline future research directions for DBMS performance modelling, DBMS auto-tuning and decision support.