POE-$Δ$: a framework for change engineering
- URL: http://arxiv.org/abs/2504.03780v1
- Date: Thu, 03 Apr 2025 14:28:06 GMT
- Title: POE-$Δ$: a framework for change engineering
- Abstract summary: This work discusses the motivation, theoretical foundation, characteristics and evaluation of a novel framework.<n>POE-$Delta$ is rooted in design and engineering and is aimed at providing systematic support for representing, structuring and exploring change problems.<n>A Design Science Research methodology was applied over a decade to define and evaluate POE-$Delta$.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Many organisational problems are addressed through systemic change and re-engineering of existing Information Systems rather than radical new design. In the face of widespread IT project failure, devising effective ways to tackle this type of change remains an open challenge. This work discusses the motivation, theoretical foundation, characteristics and evaluation of a novel framework - referred to as POE-$\Delta$, which is rooted in design and engineering and is aimed at providing systematic support for representing, structuring and exploring change problems of a socio-technical nature, including implementing their solutions when they exist. We generalise an existing framework of greenfield design as problem solving for application to change problems. From a theoretical perspective,POE-$\Delta$ is a strict extension to its parent framework, allowing the seamless integration of greenfield and brownfield design to tackle change problems. A Design Science Research methodology was applied over a decade to define and evaluate POE-$\Delta$, with significant case study research conducted to evaluate the framework in its application to real-world change problems of varying criticality and complexity. The results show that POE-$\Delta$ exhibits desirable characteristics of a design approach to organisational change and can bring tangible benefits when applied in practice as a holistic and systematic approach to change in socio-technical contexts.
Related papers
- Ontology-supported Design Parameter Management for Change Impact Analysis [65.57339762906196]
OWL is used to represent information and the underlying data model can improve knowledge transfer among heterogeneous systems.<n>The approach is suitable for both software and hardware designs.
arXiv Detail & Related papers (2026-08-22T13:25:31Z) - Improving Communication of Changes in Model-Based Engineering with Model-Independent Change Descriptions [1.241287366207879]
In model-based engineering, inter-disciplinary teams collaborate through models, which change over time for purposes of system development.<n>Any change made by the engineer of one discipline will be difficult to understand by the engineers of other disciplines.<n>Model-independent change descriptions can be derived instead, which preserve semantics of the changes and do not require model-specific knowledge.
arXiv Detail & Related papers (2026-07-23T09:13:10Z) - A Framework for institutional change in the age of AI [0.0]
Generative AI is rapidly reshaping STEM higher education. Not only are our educational practices changing, but how we think about educational transformation must adapt.<n>Existing models of institutional change in STEM, aimed at interactive engagement, have largely followed an adoption logic.<n>These assumptions do not hold for generative AI, which is an arrival technology -- entering classrooms before a sufficient pedagogical evidence base could form.
arXiv Detail & Related papers (2026-05-12T21:11:13Z) - GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon [62.2138479061386]
Generative AI is reshaping how computing systems are designed, optimized, and built, yet research remains fragmented across software, architecture, and chip design communities.<n>This paper takes a cross-stack perspective, examining how generative models are being applied from code generation and distributed runtimes through hardware design space exploration to RTL synthesis, physical layout, and verification.
arXiv Detail & Related papers (2026-02-16T22:45:33Z) - Engineering Decisions in MBSE: Insights for a Decision Capture Framework Development [0.3558796502491039]
Decision-making is a core engineering design activity that conveys the engineer's knowledge and translates it into courses of action.<n>Traditional decision capture often requires a significant amount of effort and still falls short of capturing the necessary context for reuse.<n>Model-based systems engineering can be a promising solution to address these challenges by embedding decisions directly within system models.
arXiv Detail & Related papers (2026-01-12T08:22:45Z) - A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System [56.40989626804489]
This survey provides the first holistic analysis of Large Language Models-powered software engineering.<n>We review over 150 recent papers and propose a taxonomy along two key dimensions: (1) Solutions, categorized into prompt-based, fine-tuning-based, and agent-based paradigms, and (2) Benchmarks, including tasks such as code generation, translation, and repair.
arXiv Detail & Related papers (2025-10-10T06:56:50Z) - Digital Engineering Transformation as a Sociotechnical Challenge: Categorization of Barriers and Their Mapping to DoD's Policy Goals [0.0]
Digital Engineering (DE) transformation represents a paradigm shift in systems engineering.<n>Despite institutional support, many DE initiatives underperform or fail to realize their intended benefits.
arXiv Detail & Related papers (2025-09-18T22:17:53Z) - KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning [46.85451489222176]
KERAIA is a novel framework and software platform for symbolic knowledge engineering.<n>It addresses the persistent challenges of representing, reasoning with, and executing knowledge in dynamic, complex, and context-sensitive environments.
arXiv Detail & Related papers (2025-05-07T10:56:05Z) - SMARTFinRAG: Interactive Modularized Financial RAG Benchmark [0.0]
Financial sectors are rapidly adopting language model technologies, yet evaluating specialized RAG systems in this domain remains challenging.
This paper introduces SMARTFinRAG, addressing three critical gaps in financial RAG assessment: (1) a fully modular architecture where components can be dynamically interchanged during runtime; (2) a document-centric evaluation paradigm generating domain-specific QA pairs from newly ingested financial documents; and (3) an intuitive interface bridging research-implementation divides.
arXiv Detail & Related papers (2025-04-25T02:29:56Z) - DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking [96.92117129897505]
We introduce a new benchmark, SolutionBench, to evaluate a system's ability to generate complete and feasible solutions for engineering problems.<n>We propose a novel system, SolutionRAG, that leverages the tree-based exploration and bi-point thinking mechanism to generate reliable solutions.
arXiv Detail & Related papers (2025-02-28T05:23:10Z) - UOOR: Seamless and Traceable Requirements [28.579389358111115]
The proposed solution is a requirements engineering method, called UOOR.<n>The method unifies many known requirements concepts and a few new ones in a framework entirely devised to accommodate and support seamless change throughout the project lifecycle.<n>The UOOR approach is not just a theoretical proposal but has been designed for practical use and has been applied to a significant real-world case study: Roborace.
arXiv Detail & Related papers (2025-02-25T20:03:01Z) - Modelling and Classification of Fairness Patterns for Designing Sustainable Information Systems [0.2867517731896504]
This paper explores the concept of fairness in sociotechnical system design.<n>It is based on a reference sustainability meta-model capturing the concepts of value, assumption, regulation, metric and task.
arXiv Detail & Related papers (2024-11-26T21:23:56Z) - A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation [6.544757635738911]
Retrieval-augmented generation (RAG) is an umbrella of different components, design decisions, and domain-specific adaptations.
There is currently no generally accepted methodology for RAG evaluation despite a growing interest in this technology.
We propose a first blueprint of a methodology for a sound and reliable evaluation of RAG systems.
arXiv Detail & Related papers (2024-10-11T13:36:13Z) - Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales [54.78115855552886]
We show how to construct over-complete invariants with a Convolutional Neural Networks (CNN)-like hierarchical architecture.
With the over-completeness, discriminative features w.r.t. the task can be adaptively formed in a Neural Architecture Search (NAS)-like manner.
For robust and interpretable vision tasks at larger scales, hierarchical invariant representation can be considered as an effective alternative to traditional CNN and invariants.
arXiv Detail & Related papers (2024-02-23T16:50:07Z) - AbCD: A Component-wise Adjustable Framework for Dynamic Optimization
Problems [49.1574468325115]
Dynamic Optimization Problems (DOPs) are characterized by changes in the fitness landscape that can occur at any time and are common in real world applications.
We develop a component-oriented framework for DOPs called Adjustable Components for Dynamic Problems (AbCD)
Our results highlight existing problems in the DOP field that need to be addressed in the future development of algorithms and components.
arXiv Detail & Related papers (2023-10-09T08:11:31Z) - Heterogeneous Continual Learning [88.53038822561197]
We propose a novel framework to tackle the continual learning (CL) problem with changing network architectures.
We build on top of the distillation family of techniques and modify it to a new setting where a weaker model takes the role of a teacher.
We also propose Quick Deep Inversion (QDI) to recover prior task visual features to support knowledge transfer.
arXiv Detail & Related papers (2023-06-14T15:54:42Z) - Finance 4.0: Design principles for a value-sensitive cryptoecnomic
system to address sustainability [0.0]
This paper proposes a design science research methodology with value-sensitive design methods to derive design principles for a value-sensitive socio-ecological cryptoeconomic system.
Design principles are implemented in a software that is validated in user studies that demonstrate its relevance, usability and impact.
arXiv Detail & Related papers (2021-05-25T14:09:50Z) - Investigating Bi-Level Optimization for Learning and Vision from a
Unified Perspective: A Survey and Beyond [114.39616146985001]
In machine learning and computer vision fields, despite the different motivations and mechanisms, a lot of complex problems contain a series of closely related subproblms.
In this paper, we first uniformly express these complex learning and vision problems from the perspective of Bi-Level Optimization (BLO)
Then we construct a value-function-based single-level reformulation and establish a unified algorithmic framework to understand and formulate mainstream gradient-based BLO methodologies.
arXiv Detail & Related papers (2021-01-27T16:20:23Z) - Towards an Interface Description Template for AI-enabled Systems [77.34726150561087]
Reuse is a common system architecture approach that seeks to instantiate a system architecture with existing components.
There is currently no framework that guides the selection of necessary information to assess their portability to operate in a system different than the one for which the component was originally purposed.
We present ongoing work on establishing an interface description template that captures the main information of an AI-enabled component.
arXiv Detail & Related papers (2020-07-13T20:30:26Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.