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E-grāmata: Advanced Information Systems Engineering: 32nd International Conference, CAiSE 2020, Grenoble, France, June 8-12, 2020, Proceedings

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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 contains one invited talk in full paper length.





The papers were organized in topical sections named: distributed applications; AI and big data in IS; process mining and analysis; requirements and modeling; and information systems engineering.





Abstracts on the CAiSE 2020 tutorials can be found in the back matter of the volume.

*The conference was held virtually due to the COVID-19 pandemic.
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 inBusiness
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.
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