On the public citation graph

Applying LLMs for Automated Extraction of Business Logic from Source Code into DMN Models

0 signed · 45 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4471-0817-7openalex-snapshot
The Renaissance of Legacy Systems
inferredcites →https://doi.org/10.1007/978-1-4939-3094-4openalex-snapshot
Multiple Criteria Decision Analysis
inferredcites →https://doi.org/10.1007/978-3-030-47355-6_3openalex-snapshot
Putting Decision Mining into Context: A Literature Study
inferredcites →https://doi.org/10.1007/978-3-030-66498-5_27openalex-snapshot
Text2Dec: Extracting Decision Dependencies from Natural Language Text for Automated DMN Decision Modelling
inferredcites →https://doi.org/10.1007/978-3-030-91167-6_11openalex-snapshot
Deep Learning for the Identification of Decision Modelling Components from Text
inferredcites →https://doi.org/10.1007/978-3-319-39426-8_19openalex-snapshot
Discovering Decision Models from Event Logs
inferredcites →https://doi.org/10.1007/978-3-319-42887-1_34openalex-snapshot
Enabling Dynamic Decision Making in Business Processes with DMN
inferredcites →https://doi.org/10.1007/978-3-319-42887-1_36openalex-snapshot
Deriving Decision Models from Process Models by Enhanced Decision Mining
inferredcites →https://doi.org/10.1007/978-3-319-59536-8_39openalex-snapshot
Discovery of Fuzzy DMN Decision Models from Event Logs
inferredcites →https://doi.org/10.1007/978-3-642-04265-2_23openalex-snapshot
Creating Shared Mental Models: The Support of Visual Language
inferredcites →https://doi.org/10.1007/978-3-642-33308-8_40openalex-snapshot
Extracting Business Rules from Existing Enterprise Software System
inferredcites →https://doi.org/10.1007/s10618-020-00718-4openalex-snapshot
Natural language techniques supporting decision modelers
inferredcites →https://doi.org/10.1007/s43681-024-00583-7openalex-snapshot
History, development, and principles of large language models: an introductory survey
inferredcites →https://doi.org/10.1016/0164-1212(91)90092-kopenalex-snapshot
Approaches to program comprehension
inferredcites →https://doi.org/10.1016/j.aci.2016.12.001openalex-snapshot
Managing legacy system costs: A case study of a meta-assessment model to identify solutions in a large financial services company
inferredcites →https://doi.org/10.1016/j.csi.2019.01.006openalex-snapshot
Complexity metrics for DMN decision models
inferredcites →https://doi.org/10.1016/j.eswa.2022.118667openalex-snapshot
Extracting Decision Model and Notation models from text using deep learning techniques
inferredcites →https://doi.org/10.1016/j.giq.2022.101784openalex-snapshot
The impact of legacy systems on digital transformation in European public administration: Lesson learned from a multi case analysis
inferredcites →https://doi.org/10.1016/j.infsof.2014.03.003openalex-snapshot
Formal verification of static software models in MDE: A systematic review
inferredcites →https://doi.org/10.1016/j.ins.2024.121263openalex-snapshot
Extracting process-aware decision models from object-centric process data
inferredcites →https://doi.org/10.1016/j.jss.2021.110945openalex-snapshot
Facilitating program comprehension with call graph multilevel hierarchical abstractions
inferredcites →https://doi.org/10.1016/j.knosys.2019.104866openalex-snapshot
Holistic discovery of decision models from process execution data
inferredcites →https://doi.org/10.1109/52.363157openalex-snapshot
Legacy systems: coping with success
inferredcites →https://doi.org/10.1109/52.43044openalex-snapshot
Reverse engineering and design recovery: a taxonomy
inferredcites →https://doi.org/10.1109/access.2024.3394732openalex-snapshot
Model-Driven Approaches for Reverse Engineering—A Systematic Literature Review
inferredcites →https://doi.org/10.1109/isdfs60797.2024.10527275openalex-snapshot
LLM-Based Framework for Administrative Task Automation in Healthcare
inferredcites →https://doi.org/10.1109/saner.2016.35openalex-snapshot
Program Comprehension: Past, Present, and Future
inferredcites →https://doi.org/10.1109/sera.2008.21openalex-snapshot
Formalizing MDA-Based Reverse Engineering Processes
inferredcites →https://doi.org/10.1109/sew.2012.21openalex-snapshot
A Patterns Based Reverse Engineering Approach for Java Source Code
inferredcites →https://doi.org/10.1109/sysose.2006.1652320openalex-snapshot
Extracting Business Rules from Legacy Systems into Reusable Components
inferredcites →https://doi.org/10.1109/tse.2006.96openalex-snapshot
Toward the Reverse Engineering of UML Sequence Diagrams for Distributed Java Software
inferredcites →https://doi.org/10.1109/tse.2009.28openalex-snapshot
A Systematic Survey of Program Comprehension through Dynamic Analysis
inferredcites →https://doi.org/10.1109/wcre.2013.6671316openalex-snapshot
Extracting business rules from COBOL: A model-based framework
inferredcites →https://doi.org/10.1109/wcre.2013.6671329openalex-snapshot
Extracting business rules from COBOL: A model-based tool
inferredcites →https://doi.org/10.1142/9789812831163_0016openalex-snapshot
UNDERSTANDING SOFTWARE SYSTEMS USING REVERSE ENGINEERING TECHNOLOGY
inferredcites →https://doi.org/10.1145/1925805.1925815openalex-snapshot
An examination of software engineering work practices
inferredcites →https://doi.org/10.1145/2757401.2757406openalex-snapshot
The legacy problem in government agencies
inferredcites →https://doi.org/10.1145/3510003.3510167openalex-snapshot
Retrieving data constraint implementations using fine-grained code patterns
inferredcites →https://doi.org/10.1145/3636534.3649379openalex-snapshot
AutoDroid: LLM-powered Task Automation in Android
inferredcites →https://doi.org/10.1186/s12911-024-02486-3openalex-snapshot
Decision discovery using clinical decision support system decision log data for supporting the nurse decision-making process
inferredcites →https://doi.org/10.1201/9781003218647openalex-snapshot
What Every Engineer Should Know about Software Engineering
inferredcites →https://doi.org/10.20470/jsi.v5i3.204openalex-snapshot
Getting Objects Methods and Interactions by Extracting Business Rules from Legacy Systems
inferredcites →https://doi.org/10.2307/25148625openalex-snapshot
Design Science in Information Systems Research1
inferredcites →https://doi.org/10.2753/mis0742-1222240302openalex-snapshot
A Design Science Research Methodology for Information Systems Research
inferredcites →https://doi.org/10.52202/079017-1927openalex-snapshot
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.