{"id":"https://openalex.org/W2773464462","doi":"https://doi.org/10.1109/icacci.2017.8126050","title":"Evaluation of instance-based feature subset selection algorithm for maintainability prediction","display_name":"Evaluation of instance-based feature subset selection algorithm for maintainability prediction","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2773464462","doi":"https://doi.org/10.1109/icacci.2017.8126050","mag":"2773464462"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2017.8126050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8126050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5103427688","display_name":"Kanika Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kanika Gupta","raw_affiliation_strings":["School of Information, Communication & Technology GGS IP University, Dwarka, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Communication & Technology GGS IP University, Dwarka, New Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064896366","display_name":"Anuradha Chug","orcid":"https://orcid.org/0000-0002-3139-4490"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anuradha Chug","raw_affiliation_strings":["School of Information, Communication & Technology GGS IP University, Dwarka, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Communication & Technology GGS IP University, Dwarka, New Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5064,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76771391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"1482","last_page":"1487"},"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":0.9976000189781189,"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":0.9936000108718872,"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/maintainability","display_name":"Maintainability","score":0.8756343126296997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577538251876831},{"id":"https://openalex.org/keywords/software-metric","display_name":"Software metric","score":0.5521619319915771},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5176320672035217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5039591193199158},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.4733296036720276},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.4693996012210846},{"id":"https://openalex.org/keywords/software-sizing","display_name":"Software sizing","score":0.4499717950820923},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.4380117654800415},{"id":"https://openalex.org/keywords/software-maintenance","display_name":"Software maintenance","score":0.43294960260391235},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.42331624031066895},{"id":"https://openalex.org/keywords/software-construction","display_name":"Software construction","score":0.3943273723125458},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34454360604286194},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14982911944389343},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13343104720115662}],"concepts":[{"id":"https://openalex.org/C160713754","wikidata":"https://www.wikidata.org/wiki/Q1389965","display_name":"Maintainability","level":2,"score":0.8756343126296997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577538251876831},{"id":"https://openalex.org/C82214349","wikidata":"https://www.wikidata.org/wiki/Q657339","display_name":"Software metric","level":5,"score":0.5521619319915771},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5176320672035217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5039591193199158},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.4733296036720276},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.4693996012210846},{"id":"https://openalex.org/C201515116","wikidata":"https://www.wikidata.org/wiki/Q7554363","display_name":"Software sizing","level":5,"score":0.4499717950820923},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4380117654800415},{"id":"https://openalex.org/C101317890","wikidata":"https://www.wikidata.org/wiki/Q940053","display_name":"Software maintenance","level":4,"score":0.43294960260391235},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.42331624031066895},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"score":0.3943273723125458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34454360604286194},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14982911944389343},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13343104720115662}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2017.8126050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8126050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W77160509","https://openalex.org/W190437827","https://openalex.org/W656974055","https://openalex.org/W1619226191","https://openalex.org/W2004471480","https://openalex.org/W2010119146","https://openalex.org/W2017337590","https://openalex.org/W2047345132","https://openalex.org/W2050655567","https://openalex.org/W2065452689","https://openalex.org/W2079695394","https://openalex.org/W2081917329","https://openalex.org/W2087016914","https://openalex.org/W2107965664","https://openalex.org/W2148633389","https://openalex.org/W2157051058","https://openalex.org/W2158864412","https://openalex.org/W2162451880","https://openalex.org/W2167101736","https://openalex.org/W2169038408","https://openalex.org/W2561145518","https://openalex.org/W2911964244","https://openalex.org/W4237854095","https://openalex.org/W6607693206"],"related_works":["https://openalex.org/W2219145617","https://openalex.org/W2078744341","https://openalex.org/W2117761936","https://openalex.org/W3014006153","https://openalex.org/W2439389792","https://openalex.org/W2012057830","https://openalex.org/W2029555411","https://openalex.org/W4224250221","https://openalex.org/W4320067626","https://openalex.org/W2187488199"],"abstract_inverted_index":{"An":[0],"essential":[1],"attribute":[2],"of":[3,13,31,70,92,110,147,180,207],"the":[4,28,65,139,145,148,178,219,237],"software":[5,18,32,44,58,101,149,160,222,228,240,244],"quality":[6,67],"is":[7,21,36,77,135,153],"maintainability":[8,19,26,59,114,126],"which":[9,152],"incurs":[10],"almost":[11],"60-70%":[12],"total":[14],"project":[15],"cost.":[16],"Since":[17],"prediction":[20,98,127],"a":[22,71,90,97,130],"complicated":[23],"process;":[24],"estimating":[25],"in":[27,41,50,63,84,150,210],"prior":[29],"phases":[30],"development":[33],"lifecycle":[34],"(SDLC)":[35],"advantageous.":[37],"Further,":[38],"it":[39,134],"helps":[40],"building":[42,96],"economical":[43],"and":[45,68,120,164,188,233,235],"improving":[46],"resource":[47],"planning":[48],"well":[49],"advance.":[51],"Software":[52],"metrics":[53,102,181,193,241],"are":[54,103,156],"strongly":[55],"correlated":[56],"with":[57,129,213],"as":[60],"they":[61],"help":[62],"examining":[64],"structural":[66],"characteristics":[69,146],"software.":[72],"Feature":[73],"subset":[74,91],"selection":[75],"(FSS)":[76],"an":[78,183],"important":[79],"data":[80,85],"preprocessing":[81],"technique":[82,186],"used":[83],"mining.":[86],"It":[87,197],"involves":[88],"determining":[89],"notable":[93],"features":[94,142],"for":[95,112,217],"model.":[99],"All":[100],"not":[104],"equally":[105],"relevant;":[106],"hence,":[107],"using":[108,182],"all":[109],"them":[111],"predicting":[113],"will":[115,226],"significantly":[116],"increase":[117,206],"time,":[118],"budget":[119],"effort.":[121],"Thus,":[122],"to":[123,137,176,194,230],"achieve":[124],"best":[125],"results":[128],"particular":[131],"learning":[132],"algorithm,":[133],"critical":[136],"select":[138],"most":[140,238],"relevant":[141,192,239],"that":[143,200,242],"manifest":[144],"hand":[151],"this":[154],"study":[155],"two":[157],"open":[158,220],"source":[159,221],"-":[161],"Apache":[162],"Jackrabbit":[163],"Light":[165],"Weight":[166],"Java":[167],"Game":[168],"Library":[169],"(LWJGL).":[170],"Our":[171],"main":[172],"focus":[173],"has":[174],"been":[175],"reduce":[177],"number":[179],"instance-based":[184],"FSS":[185,215],"Relief":[187,214],"then":[189],"use":[190],"these":[191],"predict":[195],"maintainability.":[196,245],"was":[198],"observed":[199],"Linear":[201],"Regression":[202],"algorithm":[203,216],"showed":[204],"maximum":[205],"approximately":[208],"11%":[209],"accuracy":[211],"levels":[212],"both":[218],"datasets.":[223],"This":[224],"paper":[225],"enable":[227],"developers":[229],"improve":[231],"design":[232],"coding":[234],"identify":[236],"affect":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}