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Der Einsatz paralleler Hardware-Architekturen betrifft alle Software-Entwickler und -Entwicklerinnen: vom Supercomputer bis zum eingebetteten System werden Multi- und Manycore-Systeme inzwischen eingesetzt. Die Herausforderungen an das Software Engineering sind vielfältig. Zum einen ist (wieder) ein stärkeres Verständnis für die Hardware notwendig. Ohne eine skalierbare Partitionierung der Software und parallele Algorithmen bleibt die Rechenleistung ungenutzt. Zum anderen stehen neue Programmiersprachen im Vordergrund, die die Ausführung von parallelen Anweisungen ermöglichen.
Dieses Buch betrachtet unterschiedliche Aspekte bei der Entwicklung paralleler Systeme und berücksichtigt dabei auch eingebettete Systeme. Es verbindet Theorie und praktische Anwendung und ist somit für Studierende und Anwender in der Praxis gleichermaßen geeignet. Durch die programmiersprachenunabhängige Darstellung der Algorithmen können sie leicht für die eigene Anwendung angepasst werden. Viele praktische Projekte erleichtern das Selbststudium und vertiefen das Gelernte.
Usability is a core construct of website evaluation and inherently defined as interactive. Yet, when analysing first impressions of websites, expected usability, i.e., before use, is of interest. Here we investigate to what extend ratings of expected usability are related to (a) experienced usability, i.e., ratings after use, and (b) objective usability measures, i.e., task performance. Furthermore, we try to elucidate how ratings of expected usability are correlated to aesthetic judgments. In an experiment, 57 participants submitted expected usability ratings after the presentation of website screenshots in three viewing-time conditions (50, 500, and 10,000 ms) and after an interactive task (experienced usability). Additionally, objective usability measures (task completion and duration) and subjective aesthetics evaluations were recorded for each website. The results at both the group and individual level show that expected usability ratings are not significantly related either to experienced usability or objective usability measures. Instead, they are highly correlated with aesthetics ratings. Taken together, our results highlight the need for interaction in empirical website usability testing, even when exploring very early usability impressions. In our study, user ratings of expected usability were no valid proxy neither for objective usability nor for experienced website usability.
Facets of Website Content
(2019)
Content is of primary importance in the World Wide Web. In particular, subjective perceptions of content are known to influence a variety of user evaluations, thereby altering attitudes and behavioral outcomes. Thus, it is essential that individually experienced facets of content can be adequately assessed. In a series of seven studies, we create, validate, and benchmark a measure for users' subjective view on web content. In the first six studies, a total of 3106 participants evaluated a sum of 60 websites. The resulting Web-CLIC questionnaire is a 12-item measure based on prior research on web content. It encloses four main facets of users' content experience: clarity, likeability, informativeness, and credibility – jointly representing a general factor subjective content perception. Very high internal consistencies and high short- to medium-term retest reliabilities are demonstrated. Strong evidence for construct validity in terms of factorial, convergent, divergent, discriminative, concurrent, experimental, and predictive validity is found. In a seventh study, encompassing 7379 ratings on 120 websites, benchmarks for 10 different content domains and optimal cut points are provided. Overall, the present research suggests that the Web-CLIC is a sound measure of subjective content perception of both practical and theoretical benefit.
The TIGER Initiative
(2016)
Benchmarking, sprich die Vergleichsanalyse von Prozessen mit festgelegtem Bezugswert, findet zunehmend Einzug in die Welt der Gesundheits-IT. Dabei spielen jedoch viele Faktoren zusammen, die einen einfachen Vergleich von IT-Kosten bei Weitem übersteigen. Eine Forschungsgruppe der Hochschule Osnabrück hat mit dem IT-Benchmark Gesundheitswesen ein Analysetool vorgelegt, das auch einen Länder- vergleich ermöglicht.
Due to the resource-constrained nature of embedded systems, it is crucial to support the estimation of their power consumption as early in the development process as possible. Non-functional requirements based on power consumption directly impact the software design, e.g., watt-hour thresholds and expected lifetimes based on battery capacities. Even if software affects hardware behavior directly, these types of requirements are often overlooked by software developers because they are commonly associated with the hardware layer. Modern trends in software engineering such as Model-Driven Development (MDD) can be used in embedded software development to evaluate power consumption-based requirements in early design phases. However, power consumption aspects are currently not sufficiently considered in MDD approaches. In this paper, we present a model-driven approach using Unified Modeling Language profile extensions to model hardware components and their power characteristics. Software m odels are combined with hardware models to achieve a system-wide estimation, including peripheral devices, and to make the power-related impact in early design stages visible. By deriving energy profiles, we provide software developers with valuable feedback, which may be used to identify energy bugs and evaluate power consumption-related requirements. To demonstrate the potential of our approach, we use a sensor node example to evaluate our concept and to identify its energy bugs.