Full Description
This book constitutes the proceedings of the 33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021, which was held online during June 28-July 2, 2021. The conference was planned to take place in Melbourne, Australia, and changed to an online format due to the COVID-19 pandemic. The papers included in these proceedings focus on intelligent information systems and deal with novel approaches to IS engineering; models, methods and techniques in IS engineering; architectures and platforms for IS engineering; and domain specific and multi-aspect in IS engineering.
Contents
Privacy and Security.- Towards an Ecosystem of Domain Specific Languages for Threat Modeling.- Privacy-aware Process Performance Indicators: Framework and Release Mechanisms.- P-SGD: A Stochastic Gradient Descent Solution for Privacy-preserving During Protection Transitions.- Natural Language Processing and Text.- Extracting Semantic Process Information from the Natural Language in Event Logs.- Data-driven Annotation of Textual Process Descriptions based on Formal Meaning Representations.- A NLP-based architecture for the autocompletion of partial domain models.- Process Discovery.- Learning of Process Representations Using Recurrent Neural Networks.- Extracting Process Features From Event Logs To Learn Coarse-Grained.- Simulation Models.- All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees.- Patterns.- Reusable Abstractions and Patterns for Recognising compositional conversational flows.- Design Patterns for Board-based Collaborative Work Management Tools.- ADaMaP: Automatic Alignment of Data Sources using Mapping Patterns.- Data and Task Management.- A Metadata Model to Connect Isolated Data Silos and Activities of the CAE Domain.- Challenges and Perils of Testing Database Manipulation Code.- Semi-Contingent Task Durations: Characterization and Controllability.- Constraint Modelling.- Referential Integrity under Uncertain Data.- Uniqueness Constraints on Property Graphs.- Refining Case Models Using Cardinality Constraints.- Process Understanding.- Digging for Gold in RPA Projects - A Quantifiable Method to Identify and Prioritize Suitable RPA Process Candidates.- A Rule-based Recommendation Approach for Business Process Modeling.- Sketch2BPMN: Automatic Recognition of Hand-drawn BPMN Models.- Theory Development and Use.- Requirements Elicitation via Fit-Gap Analysis: A View through the Grounded Theory Lens.- Lambda+, the renewal of the Lambda Architecture: Category Theory to the rescue.- Category Theory Framework for Variability Models with Non-Functional Requirements.- Platforms and Architectures.- Comparing Digital Platform Types in the Platform Economy.- Remodularization of Enterprise Systems for IoT.- Data and Cloud Polymorphic Application Modelling in Multi-clouds and Fog Environments.- Models, Methods and Tools.- A Multi-label Propagation Community Detection Algorithm for Dynamic Complex Networks.- Comparing UML-based and DSL-based Modeling from Subjective and Objective Perspectives.- On the Development of Enterprise-Grade Tool Support for the DEMO Method.- Novel Applications.- Cut to the Trace! Process-Aware Partitioning of Long-Running Cases in Customer Journey Logs.- A Multi Case Study on Legacy System Migration in the Banking Industry.- A Reference Architecture for IoT-enabled dynamic planning in Smart Logistics.
