Advanced Information Systems Engineering 32nd International Conference, CAiSE 2020, Grenoble, France, June 8–12, 2020, Proceedings /

This book constitutes the refereed proceedings of the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, held in Grenoble, France, in June 2020.* The 33 full papers presented in this volume were carefully reviewed and selected from 185 submissions. The book also c...

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Corporate Author: SpringerLink (Online service)
Other Authors: Dustdar, Schahram. (Editor, http://id.loc.gov/vocabulary/relators/edt), Yu, Eric. (Editor, http://id.loc.gov/vocabulary/relators/edt), Salinesi, Camille. (Editor, http://id.loc.gov/vocabulary/relators/edt), Rieu, Dominique. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pant, Vik. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Information Systems and Applications, incl. Internet/Web, and HCI ; 12127
Subjects:
Online Access:https://doi.org/10.1007/978-3-030-49435-3
Table of Contents:
  • Distributed Applications
  • Remodularization Analysis for Microservice Discovery Using Syntactic and Semantic Clustering
  • Decentralized Cross-Organizational Application Deployment Automation: An Approach for Generating Deployment Choreogrpahies Based on Declarative Deployment Models
  • Modeling and Analyzing Architectural Diversity of Open Platforms
  • Co-destruction Patterns in Crowdsourcing
  • Information Systems Engineering with Digital Shadows: Concept and Case Studies
  • Model-Driven Development of a Digital Twin for Injection Molding
  • SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things
  • -MERODE: A Model-Driven Engineering and Artifact-Centric Approach to Generate Blockchain-Based Information Systems
  • Smart Contract Invocation Protocol (SCIP): A Protocol for the Uniform Integration of Heterogenous Blockchain Smart Contracts
  • AI and Big Data in IS
  • A System Framework for Personalized and Transparent Data-Driven Decisions
  • Online Reinforcement Learning for Self-Adaptive Information Systems
  • Aspect Term Extraction using Deep Learning Modle with Minimal Feature Engineering
  • State Machine based Human-Bot Conversatoin Model and Services
  • Process Mining and Analysis
  • Stochastic-Aware Conformance Checking: An Entropy-Based Approach
  • Conformance Checking Approximation using Subset Selection and Edit Distance
  • Quantifying the Re-identification Risk of Event Logs for Process Mining
  • An Approach for Process Model Extraction by Multi-Grained Text Classification
  • LoGo: Combining Local and Global Techniques for Predictive Business Process Monitoring
  • Business Process Variant Analysis based on Mutual Fingerprints of Event Logs
  • DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks
  • Workforce Upskilling: a History-Based Approach for Recommending Unfamiliar Process Activities
  • Requirements and Modeling
  • Evaluating the Benefits of Model-Driven Development
  • Workarounds in Business Processes: a Goal-based Analysis
  • Digging into Business Process Meta-models: A First Ontological Analysis
  • Minign User Opinions to Support Requirement Engineering: An Empirical Study
  • Designing Patterns for Certification Standards
  • Information Extraction and Graph Representation for the Design of Formulated Products
  • Information Systems Engineering
  • Resource-based Adaptive Robotic Process Automation
  • A Variability-Driven Analysis Method for Automatic Extraction of Domain Behaviors
  • Mutation Operators for Large Scale Data Processing Programs in Spark
  • Recommendation for Evolving Relational Databases
  • A Combined Method for Usage of NLP Libraries towards Analyzing Software Documents
  • Query-based Metrics for Evaluating and Comparing Document Schemas
  • Invited Keynote
  • Data Sovereignty and the Internet of Production.