{"id":"https://openalex.org/W2046891621","doi":"https://doi.org/10.1145/1143997.1144313","title":"Simulated annealing for improving software quality prediction","display_name":"Simulated annealing for improving software quality prediction","publication_year":2006,"publication_date":"2006-07-08","ids":{"openalex":"https://openalex.org/W2046891621","doi":"https://doi.org/10.1145/1143997.1144313","mag":"2046891621"},"language":"en","primary_location":{"id":"doi:10.1145/1143997.1144313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143997.1144313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030284249","display_name":"Salah Bouktif","orcid":"https://orcid.org/0000-0001-5846-9897"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Salah Bouktif","raw_affiliation_strings":["\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al (Qu\u00e9bec), Canada"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al (Qu\u00e9bec), Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009574640","display_name":"Houari Sahraoui","orcid":"https://orcid.org/0000-0001-6304-9926"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Houari Sahraoui","raw_affiliation_strings":["University of Montreal, Montr\u00e9al (Qu\u00e9bec), Canada"],"affiliations":[{"raw_affiliation_string":"University of Montreal, Montr\u00e9al (Qu\u00e9bec), Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018821149","display_name":"Giuliano Antoniol","orcid":"https://orcid.org/0000-0002-7892-9202"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Giuliano Antoniol","raw_affiliation_strings":["\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al (Qu\u00e9bec), Canada"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al (Qu\u00e9bec), Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030284249"],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":10.3277,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97604368,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1893","last_page":"1900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8032640814781189},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6331161260604858},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6211365461349487},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5791038274765015},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.5360591411590576},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.521538496017456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4732397496700287},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44364961981773376},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.4421657621860504},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.21232196688652039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8032640814781189},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6331161260604858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6211365461349487},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5791038274765015},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.5360591411590576},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.521538496017456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4732397496700287},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44364961981773376},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.4421657621860504},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.21232196688652039},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1143997.1144313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143997.1144313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.polymtl.ca:23319","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/23319/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1525831823","https://openalex.org/W1587315015","https://openalex.org/W1912123407","https://openalex.org/W2015729052","https://openalex.org/W2043160386","https://openalex.org/W2084134149","https://openalex.org/W2097655789","https://openalex.org/W2101728371","https://openalex.org/W2141051748","https://openalex.org/W2150884987","https://openalex.org/W2158864412","https://openalex.org/W2162088083","https://openalex.org/W2163094228","https://openalex.org/W2337554012","https://openalex.org/W2439332894","https://openalex.org/W3017143921","https://openalex.org/W6776565550"],"related_works":["https://openalex.org/W2389542812","https://openalex.org/W2381894592","https://openalex.org/W2030629278","https://openalex.org/W4235667779","https://openalex.org/W1752292405","https://openalex.org/W2788335062","https://openalex.org/W1508345308","https://openalex.org/W1743181070","https://openalex.org/W2350884229","https://openalex.org/W2025427163"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,46,72,112],"approach":[6,26,107],"for":[7,33],"the":[8,66,85,135,144],"combination":[9],"and":[10,59,74,139],"adaptation":[11],"of":[12,23,37,81,88,120],"software":[13,116,121],"quality":[14,90],"predictive":[15,48,132],"models.":[16],"Quality":[17],"models":[18],"are":[19],"decomposed":[20],"into":[21],"sets":[22],"expertise.":[24],"The":[25,105],"can":[27,68,96],"be":[28,55,69,97],"seen":[29],"as":[30,71,93],"a":[31,34,43,78,100,118,148],"search":[32,75],"valuable":[35],"set":[36],"expertise":[38],"that":[39],"when":[40],"combined":[41],"form":[42],"model":[44],"with":[45,143],"optimal":[47],"accuracy.":[49],"Since,":[50],"in":[51,77],"general,":[52],"there":[53],"will":[54,62],"several":[56],"experts":[57],"available":[58,128,137],"each":[60],"expert":[61,113,131,138,145],"provide":[63],"his":[64],"expertise,":[65],"problem":[67,76,87],"reformulated":[70],"optimization":[73],"large":[79],"space":[80],"solutions.We":[82],"present":[83],"how":[84],"general":[86,106],"combining":[89],"experts,":[91],"modeled":[92],"Bayesian":[94],"classifiers,":[95],"tackled":[98],"via":[99,147],"simulated":[101],"annealing":[102],"algorithm":[103],"customization.":[104],"was":[108],"applied":[109],"to":[110],"build":[111,146],"predicting":[114],"object-oriented":[115],"stability,":[117],"facet":[119],"quality.":[122],"Our":[123],"findings":[124],"demonstrate":[125],"that,":[126],"on":[127],"data,":[129],"composed":[130],"accuracy":[133],"outperforms":[134],"best":[136],"it":[140],"compares":[141],"favorably":[142],"customized":[149],"genetic":[150],"algorithm.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}