{"id":"https://openalex.org/W4385277168","doi":"https://doi.org/10.1142/s0219649223500478","title":"SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software","display_name":"SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4385277168","doi":"https://doi.org/10.1142/s0219649223500478"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649223500478","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0219649223500478","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information & Knowledge Management","raw_type":"journal-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/A5045463785","display_name":"Harguneet Kaur","orcid":"https://orcid.org/0009-0007-7994-3253"},"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":true,"raw_author_name":"Harguneet Kaur","raw_affiliation_strings":["University School of Information, Communication and Technology, GGSIPU, Dwarka, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"University School of Information, Communication and Technology, GGSIPU, Dwarka, New Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391569","display_name":"Arvinder Kaur","orcid":"https://orcid.org/0000-0001-7360-5674"},"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":"Arvinder Kaur","raw_affiliation_strings":["University School of Information, Communication and Technology, GGSIPU, Dwarka, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"University School of Information, Communication and Technology, GGSIPU, Dwarka, New Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045463785"],"corresponding_institution_ids":["https://openalex.org/I105454292"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09655321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"05","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9811999797821045,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9811999797821045,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9678999781608582,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.961899995803833,"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/oversampling","display_name":"Oversampling","score":0.8137860298156738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8022615909576416},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7705711722373962},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.6115063428878784},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6029637455940247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5237479209899902},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5192371010780334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4802142083644867},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.47719061374664307},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.4431692361831665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42640066146850586},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.41077911853790283},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10210618376731873}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8137860298156738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022615909576416},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7705711722373962},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.6115063428878784},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6029637455940247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5237479209899902},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5192371010780334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4802142083644867},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.47719061374664307},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.4431692361831665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42640066146850586},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.41077911853790283},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10210618376731873},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649223500478","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0219649223500478","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information & Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:22:y:2023:i:05:n:s0219649223500478","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649223500478","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1661686736","https://openalex.org/W2036055923","https://openalex.org/W2070972336","https://openalex.org/W2135641621","https://openalex.org/W2148143831","https://openalex.org/W2533546022","https://openalex.org/W2757251098","https://openalex.org/W2788437623","https://openalex.org/W2889179608","https://openalex.org/W2980853106","https://openalex.org/W2999930818","https://openalex.org/W3005979163","https://openalex.org/W3015400130","https://openalex.org/W3015403954","https://openalex.org/W3087938565","https://openalex.org/W3105145507","https://openalex.org/W3126724469","https://openalex.org/W4200101835","https://openalex.org/W4213357658","https://openalex.org/W4310037430"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4254851101","https://openalex.org/W4206637278","https://openalex.org/W2781247653","https://openalex.org/W3171007296","https://openalex.org/W2362062981","https://openalex.org/W2262250234","https://openalex.org/W3216360229","https://openalex.org/W3090769163","https://openalex.org/W4383180931"],"abstract_inverted_index":{"Software":[0],"aging":[1],"is":[2,45,88,106,128,147,151,172,190,214],"the":[3,13,22,53,68,98,109,115,119,131,136,173,195,203],"process":[4],"caused":[5],"by":[6],"Aging-Related":[7],"Bugs":[8],"(ARBs)":[9],"which":[10],"leads":[11],"to":[12,28,47,64,96,113,193,218],"depletion":[14],"of":[15,19,43,100,108,121,138,141,169,175,205],"resources":[16],"and":[17,30,50,117,144,164,177,199],"degradation":[18],"performance":[20],"in":[21,32,39,52,59,73,103,184,223],"long":[23],"run.":[24],"ARBs":[25,56,183],"are":[26,37,57,133],"difficult":[27],"find":[29],"replicate":[31],"future":[33],"studies":[34],"as":[35,62,67,158],"they":[36],"less":[38],"number,":[40],"thus":[41],"prediction":[42,78,95,123,127,181],"ARB":[44,94,224],"necessary":[46],"save":[48],"cost":[49],"time":[51],"testing":[54,145],"phase.":[55],"present":[58],"low":[60],"proportion":[61],"compared":[63],"non-ARBs":[65],"known":[66],"class":[69,220],"Imbalance":[70],"problem":[71,102,222],"resulting":[72],"insufficient":[74],"training":[75,143],"dataset":[76,116],"for":[77,182],"models.":[79,124],"In":[80],"this":[81,170],"study,":[82],"Synthetic":[83],"Minority":[84],"Oversampling":[85],"Technique":[86],"(SMOTE)":[87],"applied":[89],"along":[90],"with":[91,202],"homogeneous":[92,178],"cross-project":[93,126,179],"reduce":[97],"effect":[99],"imbalance":[101,221],"software.":[104,186],"SMOTE":[105,176,198,213],"oversampling":[107],"minority":[110],"instances":[111],"synthetically":[112],"balance":[114],"improve":[118],"capability":[120],"defect":[122,180],"Homogeneous":[125],"implemented":[129],"where":[130],"datasets":[132,146],"different":[134],"but":[135],"distribution":[137],"metric":[139],"sets":[140],"both":[142],"similar.":[148],"The":[149,167,187,209],"experiment":[150],"conducted":[152,192],"on":[153],"five":[154],"cloud-oriented":[155,185],"software":[156],"such":[157],"Cassandra,":[159],"Hive,":[160],"Storm,":[161],"Hadoop":[162,165],"HDFS":[163],"Mapreduce.":[166],"novelty":[168],"study":[171],"combination":[174],"comparative":[188],"analysis":[189],"also":[191],"understand":[194],"difference":[196],"between":[197],"non-SMOTE":[200],"results":[201],"help":[204],"machine":[206],"learning":[207],"classifiers.":[208],"result":[210],"conveys":[211],"that":[212],"an":[215],"efficient":[216],"method":[217],"address":[219],"prediction.":[225]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}