Business Matter Experts do Matter: A Model-Driven Approach for Domain Specific Process Design and Monitoring
June 14, 2016 Β· Declared Dead Β· π International Conference on Business Process Management
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Adrian Mos, Mario Cortes-Cornax
arXiv ID
1606.04287
Category
cs.SE: Software Engineering
Citations
10
Venue
International Conference on Business Process Management
Last Checked
4 months ago
Abstract
Business process design and monitoring are essential elements of Business Process Management (BPM), often relying on Service Oriented Architectures (SOA). However the current BPM approaches and standards have not sufficiently reduced the Business-IT gap. Today's solutions are mostly domain-independent and platform-dependent, which limits the ability of business matter experts to express business intent and enact process change. In contrast, the approach presented in this paper focuses on BPM and SOA environments in a domain-dependent and platform-independent way. We propose to add a domain specific-layer on top of current solutions so business stakeholders can design and understand their processes in a more intuitive way. We rely on previously proposed technical solutions and integrate them in an end-to-end methodology (from design to monitoring and back). The appropriateness and the feasibility of the approach is justified through a use case and a complete prototype implementation.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted