Javier Calvo-Amodio, Harington Lee, Veronika Shteingardt, Dorothy McKinney, Dov Dori
{"title":"The Purposeful Evolution of Systems Engineering Heuristics Using I-SHARE","authors":"Javier Calvo-Amodio, Harington Lee, Veronika Shteingardt, Dorothy McKinney, Dov Dori","doi":"10.1002/inst.12554","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>A heuristic relates to a formulation based on experts' experience, which draws on observed common patterns and serves as a guide in investigating or solving a problem. A transdisciplinary field, systems engineering involves many useful heuristics, as it integrates the gamut of engineering disciplines in defining a system throughout its lifecycle. To be usable, heuristics should be memorable and pithy, and the consequences of applying them should be predictable. To be predictable, a heuristic should provide insights into how and why it works in a particular context. The first step to increase the capability of systems engineering heuristics was the creation of the I-SHARE–INCOSE Systems Heuristics Application Repository, a curated knowledge base of over 600 systems engineering-related heuristics covering systems engineering competencies, lifecycle stages, expertise, operational domains, system attributes, and more. Here, we describe a process for guiding the systems engineering community on how to validate, test, and assess heuristics, and how the systems engineering community can engage with I-SHARE to benefit from the heuristics in it and collectively improve their capabilities.</p>\n </div>","PeriodicalId":13956,"journal":{"name":"Insight","volume":"28 4","pages":"33-42"},"PeriodicalIF":1.0000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insight","FirstCategoryId":"5","ListUrlMain":"https://incose.onlinelibrary.wiley.com/doi/10.1002/inst.12554","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 0
Abstract
A heuristic relates to a formulation based on experts' experience, which draws on observed common patterns and serves as a guide in investigating or solving a problem. A transdisciplinary field, systems engineering involves many useful heuristics, as it integrates the gamut of engineering disciplines in defining a system throughout its lifecycle. To be usable, heuristics should be memorable and pithy, and the consequences of applying them should be predictable. To be predictable, a heuristic should provide insights into how and why it works in a particular context. The first step to increase the capability of systems engineering heuristics was the creation of the I-SHARE–INCOSE Systems Heuristics Application Repository, a curated knowledge base of over 600 systems engineering-related heuristics covering systems engineering competencies, lifecycle stages, expertise, operational domains, system attributes, and more. Here, we describe a process for guiding the systems engineering community on how to validate, test, and assess heuristics, and how the systems engineering community can engage with I-SHARE to benefit from the heuristics in it and collectively improve their capabilities.
期刊介绍:
Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.