On Computing the Canonical Features of Software Systems
Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implementations and use this measurement to compute a set of canonical features. The canonical features set (CFS) consists of a...
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 | 102 |
---|---|
container_issue | |
container_start_page | 93 |
container_title | |
container_volume | |
creator | Kothari, J. Denton, T. Mancoridis, S. Shokoufandeh, A. |
description | Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implementations and use this measurement to compute a set of canonical features. The canonical features set (CFS) consists of a small number of features that are as dissimilar as possible to each other, yet are most representative of the features that are not in the CFS. The members of the CFS are distinguishing features and understanding their implementation provides the engineer with an overview of the system undergoing scrutiny. The members of the CFS can also be used as cluster centroids to partition the entire set of features. Partitioning the set of features can simplify the understanding of large and complex software systems. Additionally, when a specific feature must undergo maintenance, it is helpful to know which features are most closely related to it. We demonstrate the utility of our method through the analysis of the Jext, Firefox, and Gaim software systems |
doi_str_mv | 10.1109/WCRE.2006.39 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4023980</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4023980</ieee_id><sourcerecordid>4023980</sourcerecordid><originalsourceid>FETCH-LOGICAL-i213t-31f7468bd0a211240cba52d93e2b104ac92544b0c57f0c3de7d7bd695a9153953</originalsourceid><addsrcrecordid>eNotjk1Lw0AUABc_wFh78-Zl_0Di2_d2s3lHCW0VCgWreCybZKORJinZLdJ_b0FPcxmGEeJeQaYU8ONH-brIECDPiC9EgmRNaijnSzFnW4DN2aBVjFciOesmVWTgRtyG8A2AQAyJsJtBlmN_OMZu-JTxy8vSDePQ1W4vl97F4-SDHFu5Hdv44yYvt6cQfR_uxHXr9sHP_zkT78vFW_mcrjerl_JpnXaoKKakWqvzomrAoVKooa6cwYbJY6VAu5rRaF1BbWwLNTXeNrZqzt-OlSE2NBMPf93Oe787TF3vptNOAxIXQL936EY5</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>On Computing the Canonical Features of Software Systems</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kothari, J. ; Denton, T. ; Mancoridis, S. ; Shokoufandeh, A.</creator><creatorcontrib>Kothari, J. ; Denton, T. ; Mancoridis, S. ; Shokoufandeh, A.</creatorcontrib><description>Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implementations and use this measurement to compute a set of canonical features. The canonical features set (CFS) consists of a small number of features that are as dissimilar as possible to each other, yet are most representative of the features that are not in the CFS. The members of the CFS are distinguishing features and understanding their implementation provides the engineer with an overview of the system undergoing scrutiny. The members of the CFS can also be used as cluster centroids to partition the entire set of features. Partitioning the set of features can simplify the understanding of large and complex software systems. Additionally, when a specific feature must undergo maintenance, it is helpful to know which features are most closely related to it. We demonstrate the utility of our method through the analysis of the Jext, Firefox, and Gaim software systems</description><identifier>ISSN: 1095-1350</identifier><identifier>ISBN: 9780769527192</identifier><identifier>ISBN: 0769527191</identifier><identifier>EISSN: 2375-5369</identifier><identifier>DOI: 10.1109/WCRE.2006.39</identifier><language>eng</language><publisher>IEEE</publisher><subject>Application software ; Computer science ; Costs ; Investments ; Reverse engineering ; Software measurement ; Software systems ; Systems engineering and theory</subject><ispartof>2006 13th Working Conference on Reverse Engineering, 2006, p.93-102</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4023980$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4023980$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kothari, J.</creatorcontrib><creatorcontrib>Denton, T.</creatorcontrib><creatorcontrib>Mancoridis, S.</creatorcontrib><creatorcontrib>Shokoufandeh, A.</creatorcontrib><title>On Computing the Canonical Features of Software Systems</title><title>2006 13th Working Conference on Reverse Engineering</title><addtitle>WCRE</addtitle><description>Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implementations and use this measurement to compute a set of canonical features. The canonical features set (CFS) consists of a small number of features that are as dissimilar as possible to each other, yet are most representative of the features that are not in the CFS. The members of the CFS are distinguishing features and understanding their implementation provides the engineer with an overview of the system undergoing scrutiny. The members of the CFS can also be used as cluster centroids to partition the entire set of features. Partitioning the set of features can simplify the understanding of large and complex software systems. Additionally, when a specific feature must undergo maintenance, it is helpful to know which features are most closely related to it. We demonstrate the utility of our method through the analysis of the Jext, Firefox, and Gaim software systems</description><subject>Application software</subject><subject>Computer science</subject><subject>Costs</subject><subject>Investments</subject><subject>Reverse engineering</subject><subject>Software measurement</subject><subject>Software systems</subject><subject>Systems engineering and theory</subject><issn>1095-1350</issn><issn>2375-5369</issn><isbn>9780769527192</isbn><isbn>0769527191</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjk1Lw0AUABc_wFh78-Zl_0Di2_d2s3lHCW0VCgWreCybZKORJinZLdJ_b0FPcxmGEeJeQaYU8ONH-brIECDPiC9EgmRNaijnSzFnW4DN2aBVjFciOesmVWTgRtyG8A2AQAyJsJtBlmN_OMZu-JTxy8vSDePQ1W4vl97F4-SDHFu5Hdv44yYvt6cQfR_uxHXr9sHP_zkT78vFW_mcrjerl_JpnXaoKKakWqvzomrAoVKooa6cwYbJY6VAu5rRaF1BbWwLNTXeNrZqzt-OlSE2NBMPf93Oe787TF3vptNOAxIXQL936EY5</recordid><startdate>20060101</startdate><enddate>20060101</enddate><creator>Kothari, J.</creator><creator>Denton, T.</creator><creator>Mancoridis, S.</creator><creator>Shokoufandeh, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20060101</creationdate><title>On Computing the Canonical Features of Software Systems</title><author>Kothari, J. ; Denton, T. ; Mancoridis, S. ; Shokoufandeh, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i213t-31f7468bd0a211240cba52d93e2b104ac92544b0c57f0c3de7d7bd695a9153953</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Application software</topic><topic>Computer science</topic><topic>Costs</topic><topic>Investments</topic><topic>Reverse engineering</topic><topic>Software measurement</topic><topic>Software systems</topic><topic>Systems engineering and theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Kothari, J.</creatorcontrib><creatorcontrib>Denton, T.</creatorcontrib><creatorcontrib>Mancoridis, S.</creatorcontrib><creatorcontrib>Shokoufandeh, A.</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>Kothari, J.</au><au>Denton, T.</au><au>Mancoridis, S.</au><au>Shokoufandeh, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On Computing the Canonical Features of Software Systems</atitle><btitle>2006 13th Working Conference on Reverse Engineering</btitle><stitle>WCRE</stitle><date>2006-01-01</date><risdate>2006</risdate><spage>93</spage><epage>102</epage><pages>93-102</pages><issn>1095-1350</issn><eissn>2375-5369</eissn><isbn>9780769527192</isbn><isbn>0769527191</isbn><abstract>Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implementations and use this measurement to compute a set of canonical features. The canonical features set (CFS) consists of a small number of features that are as dissimilar as possible to each other, yet are most representative of the features that are not in the CFS. The members of the CFS are distinguishing features and understanding their implementation provides the engineer with an overview of the system undergoing scrutiny. The members of the CFS can also be used as cluster centroids to partition the entire set of features. Partitioning the set of features can simplify the understanding of large and complex software systems. Additionally, when a specific feature must undergo maintenance, it is helpful to know which features are most closely related to it. We demonstrate the utility of our method through the analysis of the Jext, Firefox, and Gaim software systems</abstract><pub>IEEE</pub><doi>10.1109/WCRE.2006.39</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1095-1350 |
ispartof | 2006 13th Working Conference on Reverse Engineering, 2006, p.93-102 |
issn | 1095-1350 2375-5369 |
language | eng |
recordid | cdi_ieee_primary_4023980 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Application software Computer science Costs Investments Reverse engineering Software measurement Software systems Systems engineering and theory |
title | On Computing the Canonical Features of Software Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T14%3A19%3A57IST&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=On%20Computing%20the%20Canonical%20Features%20of%20Software%20Systems&rft.btitle=2006%2013th%20Working%20Conference%20on%20Reverse%20Engineering&rft.au=Kothari,%20J.&rft.date=2006-01-01&rft.spage=93&rft.epage=102&rft.pages=93-102&rft.issn=1095-1350&rft.eissn=2375-5369&rft.isbn=9780769527192&rft.isbn_list=0769527191&rft_id=info:doi/10.1109/WCRE.2006.39&rft_dat=%3Cieee_6IE%3E4023980%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=4023980&rfr_iscdi=true |