A Clustering Based Functional Similarity Measurement Approach

Effort prediction remains to be one of the greatest challenges of software management. While advances in functional size measurement enable functional size to be successfully utilized for effort prediction there are various factors that create significant variances. One of these factors is functiona...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Usgurlu, Burak, Top, Özden Özcan, Ungan, Erdir, Demirors, Onur
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 375
container_issue
container_start_page 371
container_title
container_volume
creator Usgurlu, Burak
Top, Özden Özcan
Ungan, Erdir
Demirors, Onur
description Effort prediction remains to be one of the greatest challenges of software management. While advances in functional size measurement enable functional size to be successfully utilized for effort prediction there are various factors that create significant variances. One of these factors is functional similarity. In this study, we developed, automated and validated an approach to determine similarities among functional processes for COSMIC functional size measurement methodology. The paper includes the explanation of this new approach and the results of the case study that has been performed to validate the approach.
doi_str_mv 10.1109/SEAA.2010.51
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5598120</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5598120</ieee_id><sourcerecordid>5598120</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-be006d722c7794b0124e2c273d5dfa41fad88350f57f69d0fc6f5ab2eb54bad03</originalsourceid><addsrcrecordid>eNotjDtPwzAURi2gEqFkY2PJH0i5flw_BoYQtYBUxFCYKye2wShJozyG_vsWwbccneF8hNxRWFEK5mG3LooVg7MivSAJ40rmBgEvSWqUpoIJoQxQeUUSCtrkEoEvyM1vYTgToK9JOo4_cJ5Ahlom5LHIymYeJz_E7it7sqN32Wbu6ikeOttku9jGxg5xOmZv3o7z4FvfTVnR98PB1t-3ZBFsM_r0n0vyuVl_lC_59v35tSy2eaQKp7zyANIpxmqljKiAMuFZzRR36IIVNFinNUcIqII0DkItA9qK-QpFZR3wJbn_-43e-30_xNYOxz2i0ZQBPwGdYExF</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A Clustering Based Functional Similarity Measurement Approach</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Usgurlu, Burak ; Top, Özden Özcan ; Ungan, Erdir ; Demirors, Onur</creator><creatorcontrib>Usgurlu, Burak ; Top, Özden Özcan ; Ungan, Erdir ; Demirors, Onur</creatorcontrib><description>Effort prediction remains to be one of the greatest challenges of software management. While advances in functional size measurement enable functional size to be successfully utilized for effort prediction there are various factors that create significant variances. One of these factors is functional similarity. In this study, we developed, automated and validated an approach to determine similarities among functional processes for COSMIC functional size measurement methodology. The paper includes the explanation of this new approach and the results of the case study that has been performed to validate the approach.</description><identifier>ISSN: 1089-6503</identifier><identifier>ISBN: 9781424479016</identifier><identifier>ISBN: 1424479010</identifier><identifier>EISSN: 2376-9505</identifier><identifier>DOI: 10.1109/SEAA.2010.51</identifier><identifier>LCCN: 2010932408</identifier><language>eng</language><publisher>IEEE</publisher><subject>Effort Estimation ; Functional Similarity ; Functional Size Measurement ; IEC standards ; ISO standards ; Productivity ; Semantic Interpretation ; Size measurement ; Software ; Software engineering ; Software measurement</subject><ispartof>2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications, 2010, p.371-375</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5598120$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5598120$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Usgurlu, Burak</creatorcontrib><creatorcontrib>Top, Özden Özcan</creatorcontrib><creatorcontrib>Ungan, Erdir</creatorcontrib><creatorcontrib>Demirors, Onur</creatorcontrib><title>A Clustering Based Functional Similarity Measurement Approach</title><title>2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications</title><addtitle>seaa</addtitle><description>Effort prediction remains to be one of the greatest challenges of software management. While advances in functional size measurement enable functional size to be successfully utilized for effort prediction there are various factors that create significant variances. One of these factors is functional similarity. In this study, we developed, automated and validated an approach to determine similarities among functional processes for COSMIC functional size measurement methodology. The paper includes the explanation of this new approach and the results of the case study that has been performed to validate the approach.</description><subject>Effort Estimation</subject><subject>Functional Similarity</subject><subject>Functional Size Measurement</subject><subject>IEC standards</subject><subject>ISO standards</subject><subject>Productivity</subject><subject>Semantic Interpretation</subject><subject>Size measurement</subject><subject>Software</subject><subject>Software engineering</subject><subject>Software measurement</subject><issn>1089-6503</issn><issn>2376-9505</issn><isbn>9781424479016</isbn><isbn>1424479010</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjDtPwzAURi2gEqFkY2PJH0i5flw_BoYQtYBUxFCYKye2wShJozyG_vsWwbccneF8hNxRWFEK5mG3LooVg7MivSAJ40rmBgEvSWqUpoIJoQxQeUUSCtrkEoEvyM1vYTgToK9JOo4_cJ5Ahlom5LHIymYeJz_E7it7sqN32Wbu6ikeOttku9jGxg5xOmZv3o7z4FvfTVnR98PB1t-3ZBFsM_r0n0vyuVl_lC_59v35tSy2eaQKp7zyANIpxmqljKiAMuFZzRR36IIVNFinNUcIqII0DkItA9qK-QpFZR3wJbn_-43e-30_xNYOxz2i0ZQBPwGdYExF</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>Usgurlu, Burak</creator><creator>Top, Özden Özcan</creator><creator>Ungan, Erdir</creator><creator>Demirors, Onur</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201009</creationdate><title>A Clustering Based Functional Similarity Measurement Approach</title><author>Usgurlu, Burak ; Top, Özden Özcan ; Ungan, Erdir ; Demirors, Onur</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-be006d722c7794b0124e2c273d5dfa41fad88350f57f69d0fc6f5ab2eb54bad03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Effort Estimation</topic><topic>Functional Similarity</topic><topic>Functional Size Measurement</topic><topic>IEC standards</topic><topic>ISO standards</topic><topic>Productivity</topic><topic>Semantic Interpretation</topic><topic>Size measurement</topic><topic>Software</topic><topic>Software engineering</topic><topic>Software measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Usgurlu, Burak</creatorcontrib><creatorcontrib>Top, Özden Özcan</creatorcontrib><creatorcontrib>Ungan, Erdir</creatorcontrib><creatorcontrib>Demirors, Onur</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Usgurlu, Burak</au><au>Top, Özden Özcan</au><au>Ungan, Erdir</au><au>Demirors, Onur</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Clustering Based Functional Similarity Measurement Approach</atitle><btitle>2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications</btitle><stitle>seaa</stitle><date>2010-09</date><risdate>2010</risdate><spage>371</spage><epage>375</epage><pages>371-375</pages><issn>1089-6503</issn><eissn>2376-9505</eissn><isbn>9781424479016</isbn><isbn>1424479010</isbn><abstract>Effort prediction remains to be one of the greatest challenges of software management. While advances in functional size measurement enable functional size to be successfully utilized for effort prediction there are various factors that create significant variances. One of these factors is functional similarity. In this study, we developed, automated and validated an approach to determine similarities among functional processes for COSMIC functional size measurement methodology. The paper includes the explanation of this new approach and the results of the case study that has been performed to validate the approach.</abstract><pub>IEEE</pub><doi>10.1109/SEAA.2010.51</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1089-6503
ispartof 2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications, 2010, p.371-375
issn 1089-6503
2376-9505
language eng
recordid cdi_ieee_primary_5598120
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Effort Estimation
Functional Similarity
Functional Size Measurement
IEC standards
ISO standards
Productivity
Semantic Interpretation
Size measurement
Software
Software engineering
Software measurement
title A Clustering Based Functional Similarity Measurement Approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T02%3A24%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20Clustering%20Based%20Functional%20Similarity%20Measurement%20Approach&rft.btitle=2010%2036th%20EUROMICRO%20Conference%20on%20Software%20Engineering%20and%20Advanced%20Applications&rft.au=Usgurlu,%20Burak&rft.date=2010-09&rft.spage=371&rft.epage=375&rft.pages=371-375&rft.issn=1089-6503&rft.eissn=2376-9505&rft.isbn=9781424479016&rft.isbn_list=1424479010&rft_id=info:doi/10.1109/SEAA.2010.51&rft_dat=%3Cieee_6IE%3E5598120%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5598120&rfr_iscdi=true