Wenn Sie diesen Text sehen, ist auf ihrem Gerät noch nicht das neue Layout geladen worden. Bitte laden Sie diese Seite neu (ggf. mit gedrückter 'Shift'- oder 'Alt'-Taste) oder in einem 'privaten Fenster'.
Weitere Hinweise unter https://www.uni-hildesheim.de/wiki/lsf/faq/fehler.im.layout.

Zur Seitennavigation oder mit Tastenkombination für den accesskey-Taste und Taste 1 
Zum Seiteninhalt oder mit Tastenkombination für den accesskey und Taste 2 

LSF – Lehre - Studium - Forschung

1. Suchen         
2. WiSe 2024/25
3. Hilfe
4. Sitemap

Startseite    Anmelden     

Veranstaltungen      Einrichtungen      Räume und Gebäude      Personen     

Sie sind hier: Startseite

• Studentenwerk
• Hildesheim & Umgebung
• Verifikation von Studienbescheinigungen
• Mehr Informationen für Studierende
• Semesterzeiten aus dem aktuellen Semester

 

Sie sind hier:    Einrichtungen, Forschungsprojekte und Publikationen

---

Universität Hildesheim

FB 4 - Mathematik, Naturwissenschaften, Wirtschaft und Informatik

Inst. für Informatik

		Using the Raspberry Pi and Docker for Replicable Performance Experiments: Experience Paper   Performance Analysis of a Virtualized Vehicle-Compute Platform: An Experience Report   Automated Migration Support for Software Product Line Co-Evolution   Towards Efficient Analysis of Variation in Time and Space   Implementation Metrics for Software Product Lines - A Systematic Literature Review   Überwachte Modelle für Daten mit Komplexer Struktur   Comparing the Intensity of Variability Changes in Software Product Line Evolution   SustInAfrica - Sustainable intensification of food production through resilient farming systems in West & North Africa   E-Learning Relevant Applications of the University of Hildesheim   Künstliche Intelligenz zur Erfassung der Atmung bei Milchkühen (KAMI)   EGRAPHSEN. Möglichkeiten und Perspektiven der digitalen Malerzuweisung bei attischen Vasen   Utilizing Software Architecture Recovery to Explore Large-Scale Software Systems in Virtual Reality   Variability Modeling and Implementation with EASy- Producer   Incremental Software Product Line Verification - A Performance Analysis with Dead Variable Code   MetricHaven - More Than 23,000 Metrics for Measuring Quality Attributes of Software Product Lines   Modellbildung aus Experimentaldaten: Maschinelles Lernen und Modellevaluierung unter Abhängigkeiten und Verteilungsverschiebungen   Metrics for Analyzing Variability and Its Implementation in Software Product Lines: A Systematic Literature Review   Model-based Product Line Development with EASy-Producer using VIL and VTL   A Study and Comparison of Industrial vs. Academic Software Product Line Research Published at SPLC   Verbundprojekt L2O: Learning to Optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten   Industrial and Academic Software Product Line Research at SPLC: Perceptions of the Community   Intelligenter digitaler Bildungsraum zur problem- und nutzerorientierten Suche von digitalen Lerninhalten (SEARCH)   Kollaboratives Machine Learning zur Erkennung von Fraud und Risiken in ERP-Systemen (KOEX)   Reverse Engineering Code Dependencies: Converting Integer-Based Variability to Propositional Logic   Variability Modeling with the Integrated Variability Modeling Language (IVML) and EASy-Producer   Syntax-Preserving Slicing of C-BasedSoftware Product Lines: An Experience Report   Reverse Engineering Variability in an Industrial Product Line: Observations and Lessons Learned   Variability-Aware Semantic Slicing Using Code Property Graphs   A Domain Analysis of Resource and Requirements Monitoring: Towards a Comprehensive Model of the Software Monitoring Domain   A Collection of Software Engineering Challenges for Big Data System Development   Metrics for Analyzing Variability and Its Implementation in Software Product Lines: A Systematic Literature Review   Control Action Types - Patterns of Central Control for Self-adaptive Systems   Improving Software Engineering Research Through Experimentation Workbenches   Flexible System-Level Monitoring of Heterogeneous Big Data Streaming Systems   Künstliche Intelligenz, Wissensbasierte und Integrierte Systeme für Biolabore (KIWI-biolab)   Identifying the Intensity of Variability Changes in Software Product Line Evolution   Incremental Software Product Line Verification - A Performance Analysis with Dead Variable Code   Configure, Generate, Run - Model-based Development for Big Data Processing   Fast Static Analyses of Software Product Lines - AnExample with More than 42,000 Metrics   TrAmP - Datengetriebene Tourenplanung für ambulante Pflege   BioMonitor4CAP - Advanced biodiversity monitoring for results-based and effective agricultural policy and transformation   Control Action Types – Patterns of Applied Control for Self-adaptive Systems   KernelHaven - An Open Infrastructure for Product Line Analysis   EXPLAIN - Explanatory interactive Artificial intelligence for Industry   Identifying the Intensity of Variability Changes in Software Product Line Evolution   Is MLOps different in Industry 4.0? General and Specific Challenges   Metrics for Analyzing Variability and Its Implementation in Software Product Lines: A Systematic Literature Review   Combining Distributed and Central Control for Self-Adaptive Systems of Systems   Textual Variability Modeling Languages: An Overview and Considerations   9th Symposium on Software Performance (SSP) Hildesheim, November 08-09, 2018   Enactment of Adaptation in Data Stream Processing with Latency Implications - A Systematic Literature Review

Abt. Intelligente Informationssysteme

Abt. Software Systems Engineering

Abt. Wirtschaftsinformatik und Maschinelles Lernen

Abt. Medieninformatik

Abt. Autonomous Cyber-physical Systems

Abt. Data Science

Impressum           Datenschutz           Erklärung zur Barrierefreiheit           Druckversion

HIS