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.

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.