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...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
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 |