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Titlebook: Software Technologies; 16th International C Hans-Georg Fill,Marten van Sinderen,Leszek A. Maci Conference proceedings 2022 Springer Nature

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1865-0929 ly 6–8, 2021. The conference was held virtually due to the COVID-19 crisis..The 10 full papers included in this book were carefully reviewed and selected from 117 submissions..978-3-031-11512-7978-3-031-11513-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
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,Linked Data as Medium for Stigmergy-based Optimization and Coordination, actions, and in which traces left by these actions manifest. Given that the medium is in literature considered the element “that underlies the true power of stigmergy”, we believe that a well-defined, properly modelled, and technically sound digital medium is essential for correct, understandable,
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Feedback Generation for Automatic User Interface Design Evaluation,he application of design principles. This paper describes the foundations of FENIkS for the automatic UI design evaluation that further allows generating automatic feedback. It explains FENIkS’ design: the meta-model and how design options, design principles and types of feedback are used to automat
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,Tales from the Code #2: A Detailed Assessment of Code Refactoring’s Impact on Energy Consumption,ng on the impact on energy consumption of changes involving code refactorings, we intend to assess the effects induced by computational code refactorings. For all these software systems we studied, our empirical results report that the code refactorings we mined do not substantially impact energy co
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,Towards Power Consumption Optimization for Embedded Systems from a Model-driven Software Developmensed models with power characteristics. Additionally, we define a novel UML profile to capture the dynamic behavior of hardware components while interacting with software applications. With our approach, energy profiles can be derived to make the impact of software on power consumption in early desig
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A Personalized Code Formatter: Detection and Fixing,a common styling across all files of the project. At first, source code is transformed into small meaningful pieces, called tokens, which are used to train the models of our mechanism, in order to predict the probability of a token being wrongly positioned. Then, a number of possible fixes are exami
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