Catalina Klarissa Mae Tagavilla-Gaza, Henri Giudici, YangYang Zhao
{"title":"Redesigning Systems Architecture for AWS Platform Migration: A Case Study of an Energy Monitoring System","authors":"Catalina Klarissa Mae Tagavilla-Gaza, Henri Giudici, YangYang Zhao","doi":"10.1002/iis2.70050","DOIUrl":"https://doi.org/10.1002/iis2.70050","url":null,"abstract":"<p>Monitoring activities play an important role in increasing the effectiveness of the energy adopted in industry. Accurate tracking in combination with analytical usage patterns helps to identify potential inefficiency in the adopted setting. Cloud-based services are adopted to help with these monitoring activities. Energy companies adopt these platforms to leverage real-time energy data. Recent advancements in this field have driven companies to continuously evolve and develop their energy platforms. Platform migration is important for improving scalability, flexibility, and advanced analytics. This study presents an industrial case on redesigning system architecture for platform migration. The case company aims to modify its current Energy Monitoring System (EMS) by shifting from its current EMS to a novel platform. The study showcases both technical and organizational challenges involved in integrating the novel platform into the existing system architecture. It then proposes a strategy to minimize stakeholders' resistance and ensure an easy platform migration aligned with the company's objectives.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"911-930"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enabling Enterprise Transformation Using Systems Principles and Concepts","authors":"James N Martin","doi":"10.1002/iis2.70027","DOIUrl":"https://doi.org/10.1002/iis2.70027","url":null,"abstract":"<p>Systems Engineering as a profession is failing to keep pace with the rapidly changing world situation, and we need to embrace <i>enterprise transformation</i> as a way to address these challenges. Enterprise Systems Engineering (ESE) processes and methods can provide the ways and means that are essential for helping us manage increasing complexity, as well as improve the quality and timeliness of key decisions regarding enterprise capabilities, and adjust the portfolios of programs, projects, systems, services, and organizations that underpin those capabilities. Enabling the cost-effective and timely resolution of strategic and operational capability gaps and shortfalls will ensure more efficient use of limited time and resources and it will increase the likelihood of achieving enterprise goals and objectives.</p><p>An ESE-enabled enterprise is better able to conduct trades across competing concerns about strategy, policy, capability, operations, and implementation, in a similar way that traditional SE practice performs tradeoff analyses among the functions, performance, physical parameters and structure to help realize more effective systems. This approach will result in more robust business and mission analyses, more balanced plans and deliveries, and more highly integrated collections of systems, products, and services to rapidly meet evolving enterprise objectives. This paper explores the nature of Enterprise Systems Engineering, the various roles that ESE can play in enterprise transformation, and the value and application of Enterprise Architecture at the Enterprise level.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"475-495"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew C Pickard, Sarah A. Sheard, Richard Beasley
{"title":"Systems Engineering Role Evolution and the Right Stuff","authors":"Andrew C Pickard, Sarah A. Sheard, Richard Beasley","doi":"10.1002/iis2.70005","DOIUrl":"https://doi.org/10.1002/iis2.70005","url":null,"abstract":"<p>Systems engineering has been defined in many ways since before INCOSE (or even NCOSE) existed. A 1996 paper categorizing what systems engineers were expected to do into buckets called roles has become widely known and used in many universities as a primer describing what systems engineering is. However, in the nearly thirty years since its publication, almost an entire generation of systems engineers has turned over. Model Based Systems Engineering has gone from a novelty to a baseline. Cyber-physical and sociotechnical systems have dominated discussions for ten years. Artificial Intelligence now promises to revolutionize everyone's work. How is it possible that the paper is still being cited?</p><p>More importantly, how do systems engineering roles that have evolved today stack up against what is needed to build today's ultra-complex systems? This paper starts with a new set of 10 primary systems engineering roles and 8 support roles, described elsewhere in this conference, that are appropriate for complex sociotechnical systems.</p><p>Large Language Model Artificial Intelligence has been used to assess the suitability of industry-accepted Team Roles and popularly used Personality Types to fulfill these new 18 primary and support Systems Engineering roles. Some examples are presented where assuming “All Systems Engineers are the same” can lead to poor outcomes. Instead, we propose that assigning systems engineering tasks to Systems Engineers with appropriate interests and personalities can provide the best outcomes on a regular basis (though the best Systems Engineers will always want challenges and will tackle non-strength tasks out of necessity for breadth purposes).</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"682-701"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Framework for Seamless Interoperability: Linking Mission Models, System Models, and High-Fidelity Simulations for Defense Applications","authors":"Tara Sarathi, Ricardo Martinez","doi":"10.1002/iis2.70029","DOIUrl":"https://doi.org/10.1002/iis2.70029","url":null,"abstract":"<p>In the rapidly evolving domain of defense systems, operational success increasingly relies on the integration of complex subsystems to meet mission objectives. Defense organizations have embraced digital engineering and model-based systems engineering (MBSE) to manage this complexity, focusing on modeling and simulation for comprehensive system assessments. However, challenges persist due to the lack of seamless interoperability between mission-level models, system models, and high-fidelity simulations. This often results in a disjointed toolchain and manual workarounds that hinder continuous verification and validation. This paper proposes a framework to connect mission models in Cameo (MagicDraw) with system models in MathWorks<sup>®</sup> System Composer<sup>™</sup> and simulations in Simulink<sup>®</sup>, enabling end-to-end traceability and real-time feedback on system configurations.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"444-456"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Next Generation MBPLE with SysML v2: Feature Modeling, Variability Modeling, and API Potentials","authors":"Tim Weilkiens, Marco Forlingieri, Vince Molnár","doi":"10.1002/iis2.70058","DOIUrl":"https://doi.org/10.1002/iis2.70058","url":null,"abstract":"<p>This paper explores using SysML v2 for Model-Based Product Line Engineering (MBPLE), focusing on how it improves variability management compared to SysML v1. It highlights SysML v2's built-in support for variations and variants in requirements, structures, and behaviors, showcasing its capabilities through a drone product line example. The authors also propose a SysML v2 extension for feature modeling, leveraging the language's API for tool integration. The paper emphasizes the importance of consistency and traceability across shared assets and the potential of SysML v2 as a central hub in MBPLE toolchains. Finally, it concludes that SysML v2 offers a robust framework for managing variability in complex product lines.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"1589-1602"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Methodology for Model-Based Certification","authors":"Jay Silverman, Dr. Holly Handley","doi":"10.1002/iis2.70010","DOIUrl":"https://doi.org/10.1002/iis2.70010","url":null,"abstract":"<p>This paper presents a methodology for Model-Based Certification (MBC). As Model-Based Systems Engineering (MBSE) gains acceptance in industry, efficiencies can be realized by including more aspects of the systems engineering Vee model within the MBSE system model. This paper proposes a process for Model-Based Certification, wherein all aspects of a system of interest and the data needed for certification can be contained within a Systems Modeling Language (SysML) based model.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"364-379"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rick Dove, Mona Humes, Greg Leach, Richard Massey, Gerry Ourada, Barry Papke, Adam Scheuer, Martin Span, Daniel Sudmeier, Luke Thomas, Dr. Adam D. Williams, Dr. Beth Wilson, Dr. Mark Winstead
{"title":"Systems Engineering with Attitude","authors":"Rick Dove, Mona Humes, Greg Leach, Richard Massey, Gerry Ourada, Barry Papke, Adam Scheuer, Martin Span, Daniel Sudmeier, Luke Thomas, Dr. Adam D. Williams, Dr. Beth Wilson, Dr. Mark Winstead","doi":"10.1002/iis2.70004","DOIUrl":"10.1002/iis2.70004","url":null,"abstract":"<p>This article explores the role of systems engineering in creating perseverant systems—ones designed to endure and prevail in an environment of constantly evolving, intelligently-directed, predatory hostility. Security, as a collection of intents, methods, and techniques, has attempted improvement by broadening and extending a legacy mindset. This approach is failing. Outlined here is a new mindset and approach that aligns with, and is enabled by, systems engineering principles.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"211-220"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thomas Manley, Hanish Mehta, Evelyn Honoré-Livermore, Julia Eng, Jennifier Giang, Sharad Rayguru
{"title":"Enhancing Shared Understanding in Multidisciplinary Teams","authors":"Thomas Manley, Hanish Mehta, Evelyn Honoré-Livermore, Julia Eng, Jennifier Giang, Sharad Rayguru","doi":"10.1002/iis2.70083","DOIUrl":"10.1002/iis2.70083","url":null,"abstract":"<p>Modern complex projects increasingly rely on multidisciplinary teams, where members from diverse disciplines collaborate to address intricate challenges. Achieving a shared understanding and alignment in such teams remains an obstacle. This study conducted by INCOSE Technical Leadership Institute (TLI) Cohort 9 explores the role of systems engineering in facilitating shared understanding within multidisciplinary teams.</p><p>The research employed a mixed-methods approach which included a literature review, interviewing industry and INCOSE leaders, and hosting interactive workshops. It identified five key challenges hindering shared understanding: communication breakdowns, organizational conflict, unconscious bias, microaggressions, and a lack of inclusive policies. To address these, the study proposed implementing strategies such as structured communication frameworks, early stakeholder involvement, bias awareness, and inclusive workplace policies.</p><p>The findings highlight systems engineering as a bridge of effective collaboration, bridging gaps across disciplines and promoting alignment. While the study offers insight, it also identifies the need for application into real world environments, further research on metrics of shared understanding, validation techniques, and leveraging collaboration tools. This research advances the understanding of multidisciplinary teams and provides practical strategies for fostering collaboration and achieving shared goals in complex and global environments.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"120-134"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TurboArch: Towards Automating System Architecture Decisions with a CoPilot","authors":"Alejandro Salado, Marcell Padilla","doi":"10.1002/iis2.70074","DOIUrl":"10.1002/iis2.70074","url":null,"abstract":"<p>Architectural decision-making often requires navigating a wide array of disparate evidence sources, from heuristic lists to empirical studies, to anticipate how choices will impact the exhibition of future ilities. This paper presents a proof-of-concept utilizing Large Language Models (LLMs) as a cognitive assistant to assist engineers in synthesizing architectural evidence efficiently. By automating evidence retrieval and analysis from diverse data pools, the proposed approach enables a more informed, streamlined decision-making process for system architects, much like how TurboTax aids individuals in generating accurate tax returns. This novel approach aims to improve accessibility to architectural insights, bridging the gap between human expertise and the vast reservoirs of knowledge available at organizations, ultimately enhancing the effectiveness of architectural choices in complex systems.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"20-36"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dean Beale, Andrew C Pickard, Dorothy McKinney, Ricardo Valerdi
{"title":"A Systems Engineering Framework for Navigating Complexity","authors":"Dean Beale, Andrew C Pickard, Dorothy McKinney, Ricardo Valerdi","doi":"10.1002/iis2.70032","DOIUrl":"https://doi.org/10.1002/iis2.70032","url":null,"abstract":"<p>The Cynefin Framework is a popular framework primarily designed to help leaders make strategic decisions in complex systems. Its popularity can be associated with the simplification of many complexity concepts into an accessible framework. It uses simple, complicated, complex and chaotic terms as its foundation. The INCOSE Complex Systems Working Group has been working on Complexity understanding and how it relates to Systems Engineers since 2006. This work has led to the evolution of these same terms within INCOSE. This paper explores the structure of the Cynefin framework and sees if that structure can be used with the most recently defined terms to develop a new tool that is more relevant to Systems Engineers in navigating complexity. This work led to the development of the Pleko framework. Testing of the framework indicates that the Pleko framework is useful for removing unnecessary complexity. Further, the Pleko Framework was compared to the COSYSMO model, which uses similar axes but was developed independently. This enables the two models to be combined, suggesting that the cost and benefits of complexity mitigation strategies, should they be required, can be estimated to inform decision-making on how best to proceed.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"35 1","pages":"895-910"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}