05 Fakultät Informatik, Elektrotechnik und Informationstechnik

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/6

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Institute: search.filters.UBSInstitut.Fakultätsübergreifend / Sonstige EinrichtungStart date: 2018End date: 2018

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    Application performance management : measuring and optimizing the digital customer experience
    (Troisdorf : SIGS DATACOM GmbH, 2018) Hoorn, André van; Siegl, Stefan
    Nowadays, the success of most companies is determined by the quality of their IT services and application systems. To make sure that application systems provide the expected quality of service, it is crucial to have up-to-date information about the system and the user experience to detect problems and to be able to solve them effectively. Application performance management (APM) is a core IT operations discipline that aims to achieve an adequate level of performance during operations. APM comprises methods, techniques, and tools for i) continuously monitoring the state of an applications system and its usage, as well as for ii) detecting, diagnosing, and resolving performance-related problems using the monitored data. This book provides an introduction by covering a common conceptual foundation for APM. On top of the common foundation, we introduce today's tooling landscape and highlight current challenges and directions of this discipline.
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    Reading data: on digital reception studies
    (2018) Willand, Marcus; Beck, Jens; Reiter, Nils
    In the paper we present a method for the analysis of entity associations that real readers make in their reviews on goodreads.com, a social reading platform - and first results and insights of our analysis.
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    Detecting protagonists in German plays around 1800 as a classification task
    (2018) Reiter, Nils; Krautter, Benjamin; Pagel, Janis; Willand, Marcus
    In this paper, we aim at identifying protagonists in plays automatically. To this end, we train a classifier using various features and investigate the importance of each feature. A challenging aspect here is that the number of spoken words for a character is a very strong baseline. We can show, however, that a) the stage presence of characters and b) topics used in their speech can help to detect protagonists even above the baseline.