Loading…
A Tool-Supported Methodology for Validation and Refinement of Early-Stage Domain Models
Model-driven engineering (MDE) promotes automated model transformations along the entire development process. Guaranteeing the quality of early models is essential for a successful application of MDE techniques and related tool-supported model refinements. Do these models properly reflect the requir...
Saved in:
Published in: | IEEE transactions on software engineering 2016-01, Vol.42 (1), p.2-25 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c291t-120b2fe09f9fd1fe28fbf69bc20c5e73e427db9296b737b1f1be340a9789f58f3 |
---|---|
cites | cdi_FETCH-LOGICAL-c291t-120b2fe09f9fd1fe28fbf69bc20c5e73e427db9296b737b1f1be340a9789f58f3 |
container_end_page | 25 |
container_issue | 1 |
container_start_page | 2 |
container_title | IEEE transactions on software engineering |
container_volume | 42 |
creator | Autili, Marco Bertolino, Antonia De Angelis, Guglielmo Di Ruscio, Davide Di Sandro, Alessio |
description | Model-driven engineering (MDE) promotes automated model transformations along the entire development process. Guaranteeing the quality of early models is essential for a successful application of MDE techniques and related tool-supported model refinements. Do these models properly reflect the requirements elicited from the owners of the problem domain? Ultimately, this question needs to be asked to the domain experts. The problem is that a gap exists between the respective backgrounds of modeling experts and domain experts. MDE developers cannot show a model to the domain experts and simply ask them whether it is correct with respect to the requirements they had in mind. To facilitate their interaction and make such validation more systematic, we propose a methodology and a tool that derive a set of customizable questionnaires expressed in natural language from each model to be validated. Unexpected answers by domain experts help to identify those portions of the models requiring deeper attention. We illustrate the methodology and the current status of the developed tool MOTHIA, which can handle UML Use Case, Class, and Activity diagrams. We assess MOTHIA effectiveness in reducing the gap between domain and modeling experts, and in detecting modeling faults on the European Project CHOReOS. |
doi_str_mv | 10.1109/TSE.2015.2449319 |
format | article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_journals_1761091037</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7132782</ieee_id><sourcerecordid>3936530191</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-120b2fe09f9fd1fe28fbf69bc20c5e73e427db9296b737b1f1be340a9789f58f3</originalsourceid><addsrcrecordid>eNo9kM9LwzAYhoMoOKd3wUvAc-eXpFn6HcecP2BDcFOPIW2_zI6umWl32H9vx8TTe3ne94WHsVsBIyEAH1bL2UiC0COZpqgEnrGBQIWJ0hLO2QAAs0TrDC_ZVdtuAEAbowfsa8JXIdTJcr_bhdhRyRfUfYcy1GF94D5E_unqqnRdFRrumpK_k68a2lLT8eD5zMX6kCw7tyb-GLauavgilFS31-zCu7qlm78cso-n2Wr6kszfnl-nk3lSSBRdIiTk0hOgR18KTzLzuR9jXkgoNBlFqTRljhLHuVEmF17kpFJwaDL0OvNqyO5Pu7sYfvbUdnYT9rHpL60w416MAGV6Ck5UEUPbRvJ2F6utiwcrwB712V6fPeqzf_r6yt2pUhHRP26EkiaT6hec82ts</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1761091037</pqid></control><display><type>article</type><title>A Tool-Supported Methodology for Validation and Refinement of Early-Stage Domain Models</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Autili, Marco ; Bertolino, Antonia ; De Angelis, Guglielmo ; Di Ruscio, Davide ; Di Sandro, Alessio</creator><creatorcontrib>Autili, Marco ; Bertolino, Antonia ; De Angelis, Guglielmo ; Di Ruscio, Davide ; Di Sandro, Alessio</creatorcontrib><description>Model-driven engineering (MDE) promotes automated model transformations along the entire development process. Guaranteeing the quality of early models is essential for a successful application of MDE techniques and related tool-supported model refinements. Do these models properly reflect the requirements elicited from the owners of the problem domain? Ultimately, this question needs to be asked to the domain experts. The problem is that a gap exists between the respective backgrounds of modeling experts and domain experts. MDE developers cannot show a model to the domain experts and simply ask them whether it is correct with respect to the requirements they had in mind. To facilitate their interaction and make such validation more systematic, we propose a methodology and a tool that derive a set of customizable questionnaires expressed in natural language from each model to be validated. Unexpected answers by domain experts help to identify those portions of the models requiring deeper attention. We illustrate the methodology and the current status of the developed tool MOTHIA, which can handle UML Use Case, Class, and Activity diagrams. We assess MOTHIA effectiveness in reducing the gap between domain and modeling experts, and in detecting modeling faults on the European Project CHOReOS.</description><identifier>ISSN: 0098-5589</identifier><identifier>EISSN: 1939-3520</identifier><identifier>DOI: 10.1109/TSE.2015.2449319</identifier><identifier>CODEN: IESEDJ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Automation ; Biological system modeling ; Context ; Context modeling ; Domain Modeling ; Early Stage Model ; Engines ; Load modeling ; Model Driven Engineering ; Model Refinement ; Model Validation ; Natural language ; Natural Language Questionnaires ; Semantic Model Quality ; Semantics ; Software engineering ; Software quality ; Studies ; Subject specialists ; Unified modeling language</subject><ispartof>IEEE transactions on software engineering, 2016-01, Vol.42 (1), p.2-25</ispartof><rights>Copyright IEEE Computer Society Jan 1, 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-120b2fe09f9fd1fe28fbf69bc20c5e73e427db9296b737b1f1be340a9789f58f3</citedby><cites>FETCH-LOGICAL-c291t-120b2fe09f9fd1fe28fbf69bc20c5e73e427db9296b737b1f1be340a9789f58f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7132782$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Autili, Marco</creatorcontrib><creatorcontrib>Bertolino, Antonia</creatorcontrib><creatorcontrib>De Angelis, Guglielmo</creatorcontrib><creatorcontrib>Di Ruscio, Davide</creatorcontrib><creatorcontrib>Di Sandro, Alessio</creatorcontrib><title>A Tool-Supported Methodology for Validation and Refinement of Early-Stage Domain Models</title><title>IEEE transactions on software engineering</title><addtitle>TSE</addtitle><description>Model-driven engineering (MDE) promotes automated model transformations along the entire development process. Guaranteeing the quality of early models is essential for a successful application of MDE techniques and related tool-supported model refinements. Do these models properly reflect the requirements elicited from the owners of the problem domain? Ultimately, this question needs to be asked to the domain experts. The problem is that a gap exists between the respective backgrounds of modeling experts and domain experts. MDE developers cannot show a model to the domain experts and simply ask them whether it is correct with respect to the requirements they had in mind. To facilitate their interaction and make such validation more systematic, we propose a methodology and a tool that derive a set of customizable questionnaires expressed in natural language from each model to be validated. Unexpected answers by domain experts help to identify those portions of the models requiring deeper attention. We illustrate the methodology and the current status of the developed tool MOTHIA, which can handle UML Use Case, Class, and Activity diagrams. We assess MOTHIA effectiveness in reducing the gap between domain and modeling experts, and in detecting modeling faults on the European Project CHOReOS.</description><subject>Automation</subject><subject>Biological system modeling</subject><subject>Context</subject><subject>Context modeling</subject><subject>Domain Modeling</subject><subject>Early Stage Model</subject><subject>Engines</subject><subject>Load modeling</subject><subject>Model Driven Engineering</subject><subject>Model Refinement</subject><subject>Model Validation</subject><subject>Natural language</subject><subject>Natural Language Questionnaires</subject><subject>Semantic Model Quality</subject><subject>Semantics</subject><subject>Software engineering</subject><subject>Software quality</subject><subject>Studies</subject><subject>Subject specialists</subject><subject>Unified modeling language</subject><issn>0098-5589</issn><issn>1939-3520</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNo9kM9LwzAYhoMoOKd3wUvAc-eXpFn6HcecP2BDcFOPIW2_zI6umWl32H9vx8TTe3ne94WHsVsBIyEAH1bL2UiC0COZpqgEnrGBQIWJ0hLO2QAAs0TrDC_ZVdtuAEAbowfsa8JXIdTJcr_bhdhRyRfUfYcy1GF94D5E_unqqnRdFRrumpK_k68a2lLT8eD5zMX6kCw7tyb-GLauavgilFS31-zCu7qlm78cso-n2Wr6kszfnl-nk3lSSBRdIiTk0hOgR18KTzLzuR9jXkgoNBlFqTRljhLHuVEmF17kpFJwaDL0OvNqyO5Pu7sYfvbUdnYT9rHpL60w416MAGV6Ck5UEUPbRvJ2F6utiwcrwB712V6fPeqzf_r6yt2pUhHRP26EkiaT6hec82ts</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Autili, Marco</creator><creator>Bertolino, Antonia</creator><creator>De Angelis, Guglielmo</creator><creator>Di Ruscio, Davide</creator><creator>Di Sandro, Alessio</creator><general>IEEE</general><general>IEEE Computer Society</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><scope>K9.</scope></search><sort><creationdate>20160101</creationdate><title>A Tool-Supported Methodology for Validation and Refinement of Early-Stage Domain Models</title><author>Autili, Marco ; Bertolino, Antonia ; De Angelis, Guglielmo ; Di Ruscio, Davide ; Di Sandro, Alessio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-120b2fe09f9fd1fe28fbf69bc20c5e73e427db9296b737b1f1be340a9789f58f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Automation</topic><topic>Biological system modeling</topic><topic>Context</topic><topic>Context modeling</topic><topic>Domain Modeling</topic><topic>Early Stage Model</topic><topic>Engines</topic><topic>Load modeling</topic><topic>Model Driven Engineering</topic><topic>Model Refinement</topic><topic>Model Validation</topic><topic>Natural language</topic><topic>Natural Language Questionnaires</topic><topic>Semantic Model Quality</topic><topic>Semantics</topic><topic>Software engineering</topic><topic>Software quality</topic><topic>Studies</topic><topic>Subject specialists</topic><topic>Unified modeling language</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Autili, Marco</creatorcontrib><creatorcontrib>Bertolino, Antonia</creatorcontrib><creatorcontrib>De Angelis, Guglielmo</creatorcontrib><creatorcontrib>Di Ruscio, Davide</creatorcontrib><creatorcontrib>Di Sandro, Alessio</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library</collection><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><jtitle>IEEE transactions on software engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Autili, Marco</au><au>Bertolino, Antonia</au><au>De Angelis, Guglielmo</au><au>Di Ruscio, Davide</au><au>Di Sandro, Alessio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Tool-Supported Methodology for Validation and Refinement of Early-Stage Domain Models</atitle><jtitle>IEEE transactions on software engineering</jtitle><stitle>TSE</stitle><date>2016-01-01</date><risdate>2016</risdate><volume>42</volume><issue>1</issue><spage>2</spage><epage>25</epage><pages>2-25</pages><issn>0098-5589</issn><eissn>1939-3520</eissn><coden>IESEDJ</coden><abstract>Model-driven engineering (MDE) promotes automated model transformations along the entire development process. Guaranteeing the quality of early models is essential for a successful application of MDE techniques and related tool-supported model refinements. Do these models properly reflect the requirements elicited from the owners of the problem domain? Ultimately, this question needs to be asked to the domain experts. The problem is that a gap exists between the respective backgrounds of modeling experts and domain experts. MDE developers cannot show a model to the domain experts and simply ask them whether it is correct with respect to the requirements they had in mind. To facilitate their interaction and make such validation more systematic, we propose a methodology and a tool that derive a set of customizable questionnaires expressed in natural language from each model to be validated. Unexpected answers by domain experts help to identify those portions of the models requiring deeper attention. We illustrate the methodology and the current status of the developed tool MOTHIA, which can handle UML Use Case, Class, and Activity diagrams. We assess MOTHIA effectiveness in reducing the gap between domain and modeling experts, and in detecting modeling faults on the European Project CHOReOS.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TSE.2015.2449319</doi><tpages>24</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0098-5589 |
ispartof | IEEE transactions on software engineering, 2016-01, Vol.42 (1), p.2-25 |
issn | 0098-5589 1939-3520 |
language | eng |
recordid | cdi_proquest_journals_1761091037 |
source | IEEE Electronic Library (IEL) Journals |
subjects | Automation Biological system modeling Context Context modeling Domain Modeling Early Stage Model Engines Load modeling Model Driven Engineering Model Refinement Model Validation Natural language Natural Language Questionnaires Semantic Model Quality Semantics Software engineering Software quality Studies Subject specialists Unified modeling language |
title | A Tool-Supported Methodology for Validation and Refinement of Early-Stage Domain Models |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T17%3A40%3A32IST&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=A%20Tool-Supported%20Methodology%20for%20Validation%20and%20Refinement%20of%20Early-Stage%20Domain%20Models&rft.jtitle=IEEE%20transactions%20on%20software%20engineering&rft.au=Autili,%20Marco&rft.date=2016-01-01&rft.volume=42&rft.issue=1&rft.spage=2&rft.epage=25&rft.pages=2-25&rft.issn=0098-5589&rft.eissn=1939-3520&rft.coden=IESEDJ&rft_id=info:doi/10.1109/TSE.2015.2449319&rft_dat=%3Cproquest_ieee_%3E3936530191%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c291t-120b2fe09f9fd1fe28fbf69bc20c5e73e427db9296b737b1f1be340a9789f58f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1761091037&rft_id=info:pmid/&rft_ieee_id=7132782&rfr_iscdi=true |