A survey on the development status and application prospects of knowledge graph in smart grids

J Wang, X Wang, C Ma, L Kou - IET Generation, Transmission …, 2021 - Wiley Online Library
With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …

Software tools for business model innovation: current state and future challenges

D Szopinski, T Schoormann, T John, R Knackstedt… - Electronic Markets, 2020 - Springer
Software tools for business model development hold great promise for supporting business
model innovation, but nonetheless, virtually no design-relevant knowledge exists …

Challenges and opportunities of applying natural language processing in business process management

H Van der Aa, J Carmona Vargas… - COLING 2018: The …, 2018 - upcommons.upc.edu
The Business Process Management (BPM) field focuses in the coordination of labor so that
organizational processes are smoothly executed in a way that products and services are …

Towards automatic business process redesign: an NLP based approach to extract redesign suggestions

A Mustansir, K Shahzad, MK Malik - Automated software engineering, 2022 - Springer
Business process redesign (BPR) is widely recognized as a key phase of the business
process management lifecycle. However, the existing studies have focused on proposing …

Comparing textual descriptions to process models–the automatic detection of inconsistencies

H Van der Aa, H Leopold, HA Reijers - Information Systems, 2017 - Elsevier
Many organizations maintain textual process descriptions alongside graphical process
models. The purpose is to make process information accessible to various stakeholders …

Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing

N Rizun, A Revina, VG Meister - Business Process Management …, 2021 - emerald.com
Purpose This study aims to draw the attention of business process management (BPM)
research and practice to the textual data generated in the processes and the potential of …

Large process models: business process management in the age of generative AI

T Kampik, C Warmuth, A Rebmann, R Agam… - arXiv preprint arXiv …, 2023 - arxiv.org
The continued success of Large Language Models (LLMs) and other generative artificial
intelligence approaches highlights the advantages that large information corpora can have …

Comparative study on various low code business process management platforms

N Krishnaraj, R Vidhya, R Shankar… - 2022 International …, 2022 - ieeexplore.ieee.org
Previous coding methods are obsolete within the twenty-first century, thus to handle this, low
code development platforms, which have far fewer integration concerns to pander to than …

[HTML][HTML] Python code smells detection using conventional machine learning models

R Sandouka, H Aljamaan - PeerJ Computer Science, 2023 - peerj.com
Code smells are poor code design or implementation that affect the code maintenance
process and reduce the software quality. Therefore, code smell detection is important in …

Using business process models to better understand the dependencies among user stories

M Trkman, J Mendling, M Krisper - Information and software technology, 2016 - Elsevier
Context Agile software development projects often manage user requirements with models
that are called user stories. Every good user story has to be independent, negotiable …