Assessing Design Repository Search Effectiveness

Reuse of design knowledge in systems engineering (SE) has been identified as a potential way to decrease design cycle times and development costs of engineering projects. Design repositories (DR) have been proposed and demonstrated as a way to store design knowledge in a reusable way. Yet little att...

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Main Authors: Daniel Herrington, Paul Beery, Kristin Giammarco
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/10/5/178
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author Daniel Herrington
Paul Beery
Kristin Giammarco
author_facet Daniel Herrington
Paul Beery
Kristin Giammarco
author_sort Daniel Herrington
collection DOAJ
description Reuse of design knowledge in systems engineering (SE) has been identified as a potential way to decrease design cycle times and development costs of engineering projects. Design repositories (DR) have been proposed and demonstrated as a way to store design knowledge in a reusable way. Yet little attention has been devoted specifically to the search methods used to identifying useful information within a DR, or how search method effectiveness can be measured or assessed. This paper demonstrates a method for assessing the effectiveness of search approaches within DR. The use of this method in assessing multiple search algorithms is demonstrated by example. The assessment method presented herein can also be used to identify the characteristics of repository data or intended reuse applications that affect the performance of search methods. These results can be used by engineers to inform selection of search methods based on anticipated future DR use cases.
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spelling doaj.art-07e479da7bcf489f91029891c79c5bb02023-11-24T02:55:33ZengMDPI AGSystems2079-89542022-10-0110517810.3390/systems10050178Assessing Design Repository Search EffectivenessDaniel Herrington0Paul Beery1Kristin Giammarco2Systems Engineering Department, Naval Postgraduate School, Monterey, CA 93943, USASystems Engineering Department, Naval Postgraduate School, Monterey, CA 93943, USASystems Engineering Department, Naval Postgraduate School, Monterey, CA 93943, USAReuse of design knowledge in systems engineering (SE) has been identified as a potential way to decrease design cycle times and development costs of engineering projects. Design repositories (DR) have been proposed and demonstrated as a way to store design knowledge in a reusable way. Yet little attention has been devoted specifically to the search methods used to identifying useful information within a DR, or how search method effectiveness can be measured or assessed. This paper demonstrates a method for assessing the effectiveness of search approaches within DR. The use of this method in assessing multiple search algorithms is demonstrated by example. The assessment method presented herein can also be used to identify the characteristics of repository data or intended reuse applications that affect the performance of search methods. These results can be used by engineers to inform selection of search methods based on anticipated future DR use cases.https://www.mdpi.com/2079-8954/10/5/178design repositoriesdesign reusemodel based systems engineeringsystems engineering
spellingShingle Daniel Herrington
Paul Beery
Kristin Giammarco
Assessing Design Repository Search Effectiveness
Systems
design repositories
design reuse
model based systems engineering
systems engineering
title Assessing Design Repository Search Effectiveness
title_full Assessing Design Repository Search Effectiveness
title_fullStr Assessing Design Repository Search Effectiveness
title_full_unstemmed Assessing Design Repository Search Effectiveness
title_short Assessing Design Repository Search Effectiveness
title_sort assessing design repository search effectiveness
topic design repositories
design reuse
model based systems engineering
systems engineering
url https://www.mdpi.com/2079-8954/10/5/178
work_keys_str_mv AT danielherrington assessingdesignrepositorysearcheffectiveness
AT paulbeery assessingdesignrepositorysearcheffectiveness
AT kristingiammarco assessingdesignrepositorysearcheffectiveness