ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design
Visual analytics systems should be able to consolidate data from disparate sources, conduct exploratory analysis, create visualizations that suit different users, and integrate seamlessly with decision-making activities to support data-driven decision-making. However, current mainstream visual analy...
Gespeichert in:
| Veröffentlicht in: | IEEE access 2024, Vol.12, p.42667-42682 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 42682 |
|---|---|
| container_issue | |
| container_start_page | 42667 |
| container_title | IEEE access |
| container_volume | 12 |
| creator | Khakpour, Alireza Vazquez-Ingelmo, Andrea Colomo-Palacios, Ricardo Garcia-Penalvo, Francisco J. Martini, Antonio |
| description | Visual analytics systems should be able to consolidate data from disparate sources, conduct exploratory analysis, create visualizations that suit different users, and integrate seamlessly with decision-making activities to support data-driven decision-making. However, current mainstream visual analytics solutions often lack support for all these requirements. To address this gap, we propose the use of model-driven engineering to design visual analytics systems. To demonstrate the feasibility of this approach, we developed a Domain-Specific Modeling Language (DSML) named ModelViz to design visual analytics systems for consumer goods supply chain applications. Furthermore, we present the work of our DSML, using data from a manufacturing company as a case study. Finally, we evaluated ModelViz quantitatively by comparing it with other similar works from the literature. Our results demonstrate that this approach meets the requirements and provides a promising direction for designing visual analytics systems by considering domain-specific aspects to help achieve business goals. |
| doi_str_mv | 10.1109/ACCESS.2024.3379268 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_journals_2995559020</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10475328</ieee_id><doaj_id>oai_doaj_org_article_44feadbad2a14c238ba9dd9e485b4b77</doaj_id><sourcerecordid>2995559020</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-79439653f07557c7411408ac86e088e37b4cd502e8e9d495b1937aa791ca4ae83</originalsourceid><addsrcrecordid>eNpNUU1LxDAQLaKgqL9ADwHPXfPZJN7Kun6AorDqNUzT6ZqltmuyK6y_3mpFnMsMj_fezPCy7ITRCWPUnpfT6Ww-n3DK5UQIbXlhdrIDzgqbCyWK3X_zfnac0pIOZQZI6YPs8b6vsX0JnxekJD9zfhnDB3Zk1i1ChxhDtyDlahV78K-k6SN5CWkDLSk7aLfr4BOZb9Ma38glprDojrK9BtqEx7_9MHu-mj1Nb_K7h-vbaXmXe6HsOtdWClso0VCtlPZaMiapAW8KpMag0JX0taIcDdpaWlUxKzSAtsyDBDTiMLsdfeselm4VwxvEreshuB-gjwsHcTivRSdlg1BXUHNg0nNhKrB1bVEaVclK68HrbPQavnzfYFq7Zb-Jw3_JcWuVUpZyOrDEyPKxTyli87eVUfedhBuTcN9JuN8kBtXpqAqI-E8htRLciC-GzINX</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2995559020</pqid></control><display><type>article</type><title>ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Khakpour, Alireza ; Vazquez-Ingelmo, Andrea ; Colomo-Palacios, Ricardo ; Garcia-Penalvo, Francisco J. ; Martini, Antonio</creator><creatorcontrib>Khakpour, Alireza ; Vazquez-Ingelmo, Andrea ; Colomo-Palacios, Ricardo ; Garcia-Penalvo, Francisco J. ; Martini, Antonio</creatorcontrib><description>Visual analytics systems should be able to consolidate data from disparate sources, conduct exploratory analysis, create visualizations that suit different users, and integrate seamlessly with decision-making activities to support data-driven decision-making. However, current mainstream visual analytics solutions often lack support for all these requirements. To address this gap, we propose the use of model-driven engineering to design visual analytics systems. To demonstrate the feasibility of this approach, we developed a Domain-Specific Modeling Language (DSML) named ModelViz to design visual analytics systems for consumer goods supply chain applications. Furthermore, we present the work of our DSML, using data from a manufacturing company as a case study. Finally, we evaluated ModelViz quantitatively by comparing it with other similar works from the literature. Our results demonstrate that this approach meets the requirements and provides a promising direction for designing visual analytics systems by considering domain-specific aspects to help achieve business goals.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2024.3379268</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Analytical models ; Business ; Data visualization ; Decision analysis ; Decision making ; Decision support systems ; Design analysis ; Domain specific languages ; DSL ; Model driven engineering ; Software engineering ; Supply chain management ; Supply chains ; System analysis and design ; Systems analysis ; Systems design ; Task analysis ; Visual analytics</subject><ispartof>IEEE access, 2024, Vol.12, p.42667-42682</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c359t-79439653f07557c7411408ac86e088e37b4cd502e8e9d495b1937aa791ca4ae83</cites><orcidid>0000-0002-7284-5593 ; 0000-0002-1555-9726 ; 0000-0001-9987-5584 ; 0000-0002-0669-8687 ; 0000-0003-1961-1269</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10475328$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2095,4009,27612,27902,27903,27904,54912</link.rule.ids></links><search><creatorcontrib>Khakpour, Alireza</creatorcontrib><creatorcontrib>Vazquez-Ingelmo, Andrea</creatorcontrib><creatorcontrib>Colomo-Palacios, Ricardo</creatorcontrib><creatorcontrib>Garcia-Penalvo, Francisco J.</creatorcontrib><creatorcontrib>Martini, Antonio</creatorcontrib><title>ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design</title><title>IEEE access</title><addtitle>Access</addtitle><description>Visual analytics systems should be able to consolidate data from disparate sources, conduct exploratory analysis, create visualizations that suit different users, and integrate seamlessly with decision-making activities to support data-driven decision-making. However, current mainstream visual analytics solutions often lack support for all these requirements. To address this gap, we propose the use of model-driven engineering to design visual analytics systems. To demonstrate the feasibility of this approach, we developed a Domain-Specific Modeling Language (DSML) named ModelViz to design visual analytics systems for consumer goods supply chain applications. Furthermore, we present the work of our DSML, using data from a manufacturing company as a case study. Finally, we evaluated ModelViz quantitatively by comparing it with other similar works from the literature. Our results demonstrate that this approach meets the requirements and provides a promising direction for designing visual analytics systems by considering domain-specific aspects to help achieve business goals.</description><subject>Analytical models</subject><subject>Business</subject><subject>Data visualization</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Decision support systems</subject><subject>Design analysis</subject><subject>Domain specific languages</subject><subject>DSL</subject><subject>Model driven engineering</subject><subject>Software engineering</subject><subject>Supply chain management</subject><subject>Supply chains</subject><subject>System analysis and design</subject><subject>Systems analysis</subject><subject>Systems design</subject><subject>Task analysis</subject><subject>Visual analytics</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LxDAQLaKgqL9ADwHPXfPZJN7Kun6AorDqNUzT6ZqltmuyK6y_3mpFnMsMj_fezPCy7ITRCWPUnpfT6Ww-n3DK5UQIbXlhdrIDzgqbCyWK3X_zfnac0pIOZQZI6YPs8b6vsX0JnxekJD9zfhnDB3Zk1i1ChxhDtyDlahV78K-k6SN5CWkDLSk7aLfr4BOZb9Ma38glprDojrK9BtqEx7_9MHu-mj1Nb_K7h-vbaXmXe6HsOtdWClso0VCtlPZaMiapAW8KpMag0JX0taIcDdpaWlUxKzSAtsyDBDTiMLsdfeselm4VwxvEreshuB-gjwsHcTivRSdlg1BXUHNg0nNhKrB1bVEaVclK68HrbPQavnzfYFq7Zb-Jw3_JcWuVUpZyOrDEyPKxTyli87eVUfedhBuTcN9JuN8kBtXpqAqI-E8htRLciC-GzINX</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Khakpour, Alireza</creator><creator>Vazquez-Ingelmo, Andrea</creator><creator>Colomo-Palacios, Ricardo</creator><creator>Garcia-Penalvo, Francisco J.</creator><creator>Martini, Antonio</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7284-5593</orcidid><orcidid>https://orcid.org/0000-0002-1555-9726</orcidid><orcidid>https://orcid.org/0000-0001-9987-5584</orcidid><orcidid>https://orcid.org/0000-0002-0669-8687</orcidid><orcidid>https://orcid.org/0000-0003-1961-1269</orcidid></search><sort><creationdate>2024</creationdate><title>ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design</title><author>Khakpour, Alireza ; Vazquez-Ingelmo, Andrea ; Colomo-Palacios, Ricardo ; Garcia-Penalvo, Francisco J. ; Martini, Antonio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-79439653f07557c7411408ac86e088e37b4cd502e8e9d495b1937aa791ca4ae83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analytical models</topic><topic>Business</topic><topic>Data visualization</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Decision support systems</topic><topic>Design analysis</topic><topic>Domain specific languages</topic><topic>DSL</topic><topic>Model driven engineering</topic><topic>Software engineering</topic><topic>Supply chain management</topic><topic>Supply chains</topic><topic>System analysis and design</topic><topic>Systems analysis</topic><topic>Systems design</topic><topic>Task analysis</topic><topic>Visual analytics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khakpour, Alireza</creatorcontrib><creatorcontrib>Vazquez-Ingelmo, Andrea</creatorcontrib><creatorcontrib>Colomo-Palacios, Ricardo</creatorcontrib><creatorcontrib>Garcia-Penalvo, Francisco J.</creatorcontrib><creatorcontrib>Martini, Antonio</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khakpour, Alireza</au><au>Vazquez-Ingelmo, Andrea</au><au>Colomo-Palacios, Ricardo</au><au>Garcia-Penalvo, Francisco J.</au><au>Martini, Antonio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2024</date><risdate>2024</risdate><volume>12</volume><spage>42667</spage><epage>42682</epage><pages>42667-42682</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Visual analytics systems should be able to consolidate data from disparate sources, conduct exploratory analysis, create visualizations that suit different users, and integrate seamlessly with decision-making activities to support data-driven decision-making. However, current mainstream visual analytics solutions often lack support for all these requirements. To address this gap, we propose the use of model-driven engineering to design visual analytics systems. To demonstrate the feasibility of this approach, we developed a Domain-Specific Modeling Language (DSML) named ModelViz to design visual analytics systems for consumer goods supply chain applications. Furthermore, we present the work of our DSML, using data from a manufacturing company as a case study. Finally, we evaluated ModelViz quantitatively by comparing it with other similar works from the literature. Our results demonstrate that this approach meets the requirements and provides a promising direction for designing visual analytics systems by considering domain-specific aspects to help achieve business goals.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2024.3379268</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-7284-5593</orcidid><orcidid>https://orcid.org/0000-0002-1555-9726</orcidid><orcidid>https://orcid.org/0000-0001-9987-5584</orcidid><orcidid>https://orcid.org/0000-0002-0669-8687</orcidid><orcidid>https://orcid.org/0000-0003-1961-1269</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-3536 |
| ispartof | IEEE access, 2024, Vol.12, p.42667-42682 |
| issn | 2169-3536 2169-3536 |
| language | eng |
| recordid | cdi_proquest_journals_2995559020 |
| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Analytical models Business Data visualization Decision analysis Decision making Decision support systems Design analysis Domain specific languages DSL Model driven engineering Software engineering Supply chain management Supply chains System analysis and design Systems analysis Systems design Task analysis Visual analytics |
| title | ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T06%3A07%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=ModelViz:%20A%20Model-Driven%20Engineering%20Approach%20for%20Visual%20Analytics%20System%20Design&rft.jtitle=IEEE%20access&rft.au=Khakpour,%20Alireza&rft.date=2024&rft.volume=12&rft.spage=42667&rft.epage=42682&rft.pages=42667-42682&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2024.3379268&rft_dat=%3Cproquest_ieee_%3E2995559020%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2995559020&rft_id=info:pmid/&rft_ieee_id=10475328&rft_doaj_id=oai_doaj_org_article_44feadbad2a14c238ba9dd9e485b4b77&rfr_iscdi=true |