Software Engineering and Scale-Free Networks
Complex-network theory is a new approach in studying different types of large systems in both the physical and the abstract worlds. In this paper, we have studied two kinds of network from software engineering: the component dependence network and the sorting comparison network (SCN). It is found th...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on cybernetics 2009-06, Vol.39 (3), p.648-657 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 657 |
|---|---|
| container_issue | 3 |
| container_start_page | 648 |
| container_title | IEEE transactions on cybernetics |
| container_volume | 39 |
| creator | Lian Wen Dromey, R.G. Kirk, D. |
| description | Complex-network theory is a new approach in studying different types of large systems in both the physical and the abstract worlds. In this paper, we have studied two kinds of network from software engineering: the component dependence network and the sorting comparison network (SCN). It is found that they both show the same scale-free property under certain conditions as complex networks in other fields. These results suggest that complex-network theory can be a useful approach to the study of software systems. The special properties of SCNs provide a more repeatable and deterministic way to study the evolution and optimization of complex networks. They also suggest that the closer a sorting algorithm is to the theoretical optimal limit, the more its SCN is like a scale-free network. This may also indicate that, to store and retrieve information efficiently, a concept network might need to be scale-free. |
| doi_str_mv | 10.1109/TSMCB.2008.2008102 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_869856666</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4770184</ieee_id><sourcerecordid>869856666</sourcerecordid><originalsourceid>FETCH-LOGICAL-c424t-8bdd79099942be4d2a0e06bde022c3718b38d48b1f47999ebb1df0c15b9bdaa33</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMo1q8_oCDFg15cnclmd5OjFr-g6qF6Dslmtqy2u5q0FP-9absoeDCHSWCeeYc8jB0iXCCCunwZPQ6uLziAXBUEvsF2UAlMQCi-Gd8g00QIVD22G8IbAChQxTbroUIpkec77HzUVrOF8dS_acZ1Q-TrZtw3jeuPSjOh5NYT9Z9otmj9e9hnW5WZBDro7j32envzMrhPhs93D4OrYVIKLmaJtM4VcZNSglsSjhsgyK0j4LxMC5Q2lU5Ii5UoIkTWoqugxMwq64xJ0z12ts798O3nnMJMT-tQ0mRiGmrnQctcySyPJ5Kn_5J5gRxztQRP_oBv7dw38RdaZoVIU56JCPE1VPo2BE-V_vD11PgvjaCXyvVKuV7a1p3yOHTcJc_tlNzvSOc4AkdroCain7YoCkAp0m9_goMU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>857433254</pqid></control><display><type>article</type><title>Software Engineering and Scale-Free Networks</title><source>IEEE Electronic Library (IEL)</source><creator>Lian Wen ; Dromey, R.G. ; Kirk, D.</creator><creatorcontrib>Lian Wen ; Dromey, R.G. ; Kirk, D.</creatorcontrib><description>Complex-network theory is a new approach in studying different types of large systems in both the physical and the abstract worlds. In this paper, we have studied two kinds of network from software engineering: the component dependence network and the sorting comparison network (SCN). It is found that they both show the same scale-free property under certain conditions as complex networks in other fields. These results suggest that complex-network theory can be a useful approach to the study of software systems. The special properties of SCNs provide a more repeatable and deterministic way to study the evolution and optimization of complex networks. They also suggest that the closer a sorting algorithm is to the theoretical optimal limit, the more its SCN is like a scale-free network. This may also indicate that, to store and retrieve information efficiently, a concept network might need to be scale-free.</description><identifier>ISSN: 1083-4419</identifier><identifier>ISSN: 2168-2267</identifier><identifier>EISSN: 1941-0492</identifier><identifier>EISSN: 2168-2275</identifier><identifier>DOI: 10.1109/TSMCB.2008.2008102</identifier><identifier>PMID: 19188126</identifier><identifier>CODEN: ITSCFI</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Application software ; Cellular networks ; Complex networks ; Computer programs ; Concept network (CN) ; Cybernetics ; Evolution ; Information retrieval ; Kirk field collapse effect ; Networks ; Neurons ; Optimization ; scale-free network ; Software ; Software algorithms ; Software engineering ; Software systems ; Sorting ; sorting algorithm ; Stores</subject><ispartof>IEEE transactions on cybernetics, 2009-06, Vol.39 (3), p.648-657</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-8bdd79099942be4d2a0e06bde022c3718b38d48b1f47999ebb1df0c15b9bdaa33</citedby><cites>FETCH-LOGICAL-c424t-8bdd79099942be4d2a0e06bde022c3718b38d48b1f47999ebb1df0c15b9bdaa33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4770184$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4770184$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19188126$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lian Wen</creatorcontrib><creatorcontrib>Dromey, R.G.</creatorcontrib><creatorcontrib>Kirk, D.</creatorcontrib><title>Software Engineering and Scale-Free Networks</title><title>IEEE transactions on cybernetics</title><addtitle>TSMCB</addtitle><addtitle>IEEE Trans Syst Man Cybern B Cybern</addtitle><description>Complex-network theory is a new approach in studying different types of large systems in both the physical and the abstract worlds. In this paper, we have studied two kinds of network from software engineering: the component dependence network and the sorting comparison network (SCN). It is found that they both show the same scale-free property under certain conditions as complex networks in other fields. These results suggest that complex-network theory can be a useful approach to the study of software systems. The special properties of SCNs provide a more repeatable and deterministic way to study the evolution and optimization of complex networks. They also suggest that the closer a sorting algorithm is to the theoretical optimal limit, the more its SCN is like a scale-free network. This may also indicate that, to store and retrieve information efficiently, a concept network might need to be scale-free.</description><subject>Application software</subject><subject>Cellular networks</subject><subject>Complex networks</subject><subject>Computer programs</subject><subject>Concept network (CN)</subject><subject>Cybernetics</subject><subject>Evolution</subject><subject>Information retrieval</subject><subject>Kirk field collapse effect</subject><subject>Networks</subject><subject>Neurons</subject><subject>Optimization</subject><subject>scale-free network</subject><subject>Software</subject><subject>Software algorithms</subject><subject>Software engineering</subject><subject>Software systems</subject><subject>Sorting</subject><subject>sorting algorithm</subject><subject>Stores</subject><issn>1083-4419</issn><issn>2168-2267</issn><issn>1941-0492</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kE1LAzEQhoMo1q8_oCDFg15cnclmd5OjFr-g6qF6Dslmtqy2u5q0FP-9absoeDCHSWCeeYc8jB0iXCCCunwZPQ6uLziAXBUEvsF2UAlMQCi-Gd8g00QIVD22G8IbAChQxTbroUIpkec77HzUVrOF8dS_acZ1Q-TrZtw3jeuPSjOh5NYT9Z9otmj9e9hnW5WZBDro7j32envzMrhPhs93D4OrYVIKLmaJtM4VcZNSglsSjhsgyK0j4LxMC5Q2lU5Ii5UoIkTWoqugxMwq64xJ0z12ts798O3nnMJMT-tQ0mRiGmrnQctcySyPJ5Kn_5J5gRxztQRP_oBv7dw38RdaZoVIU56JCPE1VPo2BE-V_vD11PgvjaCXyvVKuV7a1p3yOHTcJc_tlNzvSOc4AkdroCain7YoCkAp0m9_goMU</recordid><startdate>20090601</startdate><enddate>20090601</enddate><creator>Lian Wen</creator><creator>Dromey, R.G.</creator><creator>Kirk, D.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20090601</creationdate><title>Software Engineering and Scale-Free Networks</title><author>Lian Wen ; Dromey, R.G. ; Kirk, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-8bdd79099942be4d2a0e06bde022c3718b38d48b1f47999ebb1df0c15b9bdaa33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Application software</topic><topic>Cellular networks</topic><topic>Complex networks</topic><topic>Computer programs</topic><topic>Concept network (CN)</topic><topic>Cybernetics</topic><topic>Evolution</topic><topic>Information retrieval</topic><topic>Kirk field collapse effect</topic><topic>Networks</topic><topic>Neurons</topic><topic>Optimization</topic><topic>scale-free network</topic><topic>Software</topic><topic>Software algorithms</topic><topic>Software engineering</topic><topic>Software systems</topic><topic>Sorting</topic><topic>sorting algorithm</topic><topic>Stores</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lian Wen</creatorcontrib><creatorcontrib>Dromey, R.G.</creatorcontrib><creatorcontrib>Kirk, D.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace 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>MEDLINE - Academic</collection><jtitle>IEEE transactions on cybernetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lian Wen</au><au>Dromey, R.G.</au><au>Kirk, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Software Engineering and Scale-Free Networks</atitle><jtitle>IEEE transactions on cybernetics</jtitle><stitle>TSMCB</stitle><addtitle>IEEE Trans Syst Man Cybern B Cybern</addtitle><date>2009-06-01</date><risdate>2009</risdate><volume>39</volume><issue>3</issue><spage>648</spage><epage>657</epage><pages>648-657</pages><issn>1083-4419</issn><issn>2168-2267</issn><eissn>1941-0492</eissn><eissn>2168-2275</eissn><coden>ITSCFI</coden><abstract>Complex-network theory is a new approach in studying different types of large systems in both the physical and the abstract worlds. In this paper, we have studied two kinds of network from software engineering: the component dependence network and the sorting comparison network (SCN). It is found that they both show the same scale-free property under certain conditions as complex networks in other fields. These results suggest that complex-network theory can be a useful approach to the study of software systems. The special properties of SCNs provide a more repeatable and deterministic way to study the evolution and optimization of complex networks. They also suggest that the closer a sorting algorithm is to the theoretical optimal limit, the more its SCN is like a scale-free network. This may also indicate that, to store and retrieve information efficiently, a concept network might need to be scale-free.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>19188126</pmid><doi>10.1109/TSMCB.2008.2008102</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1083-4419 |
| ispartof | IEEE transactions on cybernetics, 2009-06, Vol.39 (3), p.648-657 |
| issn | 1083-4419 2168-2267 1941-0492 2168-2275 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_869856666 |
| source | IEEE Electronic Library (IEL) |
| subjects | Application software Cellular networks Complex networks Computer programs Concept network (CN) Cybernetics Evolution Information retrieval Kirk field collapse effect Networks Neurons Optimization scale-free network Software Software algorithms Software engineering Software systems Sorting sorting algorithm Stores |
| title | Software Engineering and Scale-Free Networks |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T04%3A52%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Software%20Engineering%20and%20Scale-Free%20Networks&rft.jtitle=IEEE%20transactions%20on%20cybernetics&rft.au=Lian%20Wen&rft.date=2009-06-01&rft.volume=39&rft.issue=3&rft.spage=648&rft.epage=657&rft.pages=648-657&rft.issn=1083-4419&rft.eissn=1941-0492&rft.coden=ITSCFI&rft_id=info:doi/10.1109/TSMCB.2008.2008102&rft_dat=%3Cproquest_RIE%3E869856666%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=857433254&rft_id=info:pmid/19188126&rft_ieee_id=4770184&rfr_iscdi=true |