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Advanced Information Systems Engineering

Overview of attention for book
Cover of 'Advanced Information Systems Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Information Systems for the Governance of Compliant Service Systems
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    Chapter 2 Risk Accelerators in Disasters
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    Chapter 3 Against the Odds: Managing the Unmanagable in a Time of Crisis
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    Chapter 4 Queue Mining – Predicting Delays in Service Processes
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    Chapter 5 Advanced Information Systems Engineering
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    Chapter 6 Optimal Distribution of Applications in the Cloud
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    Chapter 7 Identifying Modularity Improvement Opportunities in Goal-Oriented Requirements Models
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    Chapter 8 Understandability of Goal-Oriented Requirements Engineering Concepts for Enterprise Architects
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    Chapter 9 FACTS: A Framework for Anonymity towards Comparability, Transparency, and Sharing
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    Chapter 10 Trust-Aware Decision-Making Methodology for Cloud Sourcing
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    Chapter 11 Analyzing Variability of Software Product Lines Using Semantic and Ontological Considerations
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    Chapter 12 Similarity Analysis within Product Line Scoping: An Evaluation of a Semi-automatic Approach
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    Chapter 13 An Exploratory Study of Topic Importance in Requirements Elicitation Interviews
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    Chapter 14 Expert Finding Using Markov Networks in Open Source Communities
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    Chapter 15 Unifying and Extending User Story Models
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    Chapter 16 How does Quality of Formalized Software Processes Affect Adoption?
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    Chapter 17 Context-Aware Staged Configuration of Process Variants@Runtime
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    Chapter 18 Prioritizing Business Processes Improvement Initiatives: The Seco Tools Case
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    Chapter 19 Cloud Forensics: Identifying the Major Issues and Challenges
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    Chapter 20 Dealing with Security Requirements for Socio-Technical Systems: A Holistic Approach
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    Chapter 21 IT Risk Management with Markov Logic Networks
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    Chapter 22 Automating Data Exchange in Process Choreographies
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    Chapter 23 Advanced Information Systems Engineering
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    Chapter 24 Formalization of fUML: An Application to Process Verification
  26. Altmetric Badge
    Chapter 25 On the Elasticity of Social Compute Units
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    Chapter 26 Open-Source Databases: Within, Outside, or Beyond Lehman’s Laws of Software Evolution?
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    Chapter 27 Schema Independent Reduction of Streaming Log Data
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    Chapter 28 Automatization of the Stream Mining Process
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    Chapter 29 Matching User Profiles Across Social Networks
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    Chapter 30 Advanced Information Systems Engineering
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    Chapter 31 Predictive Monitoring of Business Processes
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    Chapter 32 What Shall I Do Next?
  34. Altmetric Badge
    Chapter 33 Using Reference Domain Ontologies to Define the Real-World Semantics of Domain-Specific Languages
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    Chapter 34 Dual Deep Instantiation and Its ConceptBase Implementation
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    Chapter 35 An Adapter-Based Approach to Co-evolve Generated SQL in Model-to-Text Transformations
  37. Altmetric Badge
    Chapter 36 Mining Predictive Process Models out of Low-level Multidimensional Logs
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    Chapter 37 Mining Event Logs to Assist the Development of Executable Process Variants
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    Chapter 38 Advanced Information Systems Engineering
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    Chapter 39 Extracting Facets from Lost Fine-Grained Categorizations in Dataspaces
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    Chapter 40 Towards a Form Based Dynamic Database Schema Creation and Modification System
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    Chapter 41 CubeLoad: A Parametric Generator of Realistic OLAP Workloads
  43. Altmetric Badge
    Chapter 42 Task Specification and Reasoning in Dynamically Altered Contexts
  44. Altmetric Badge
    Chapter 43 Finding Optimal Plans for Incremental Method Engineering
  45. Altmetric Badge
    Chapter 44 On the Effectiveness of Concern Metrics to Detect Code Smells: An Empirical Study
Attention for Chapter 34: Dual Deep Instantiation and Its ConceptBase Implementation
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Chapter title
Dual Deep Instantiation and Its ConceptBase Implementation
Chapter number 34
Book title
Advanced Information Systems Engineering
Published in
Lecture notes in computer science, June 2014
DOI 10.1007/978-3-319-07881-6_34
Book ISBNs
978-3-31-907880-9, 978-3-31-907881-6
Authors

Bernd Neumayr, Manfred A. Jeusfeld, Michael Schrefl, Christoph Schütz, Matthias Jarke, John Mylopoulos, Christoph Quix, Colette Rolland, Yannis Manolopoulos, Haralambos Mouratidis, Jennifer Horkoff, Neumayr, Bernd, Jeusfeld, Manfred A., Schrefl, Michael, Schütz, Christoph

Editors

Matthias Jarke, John Mylopoulos, Christoph Quix, Colette Rolland, Yannis Manolopoulos, Haralambos Mouratidis, Jennifer Horkoff

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 10%
Portugal 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Professor 2 20%
Other 1 10%
Student > Doctoral Student 1 10%
Lecturer > Senior Lecturer 1 10%
Other 3 30%
Readers by discipline Count As %
Computer Science 10 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from Lecture notes in computer science
#6,007
of 8,126 outputs
Outputs of similar age
#147,843
of 206,472 outputs
Outputs of similar age from Lecture notes in computer science
#108
of 161 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.