{"id":"https://openalex.org/W2803823445","doi":"https://doi.org/10.1145/3209889.3209895","title":"Exploring the Utility of Developer Exhaust","display_name":"Exploring the Utility of Developer Exhaust","publication_year":2018,"publication_date":"2018-05-14","ids":{"openalex":"https://openalex.org/W2803823445","doi":"https://doi.org/10.1145/3209889.3209895","mag":"2803823445","pmid":"https://pubmed.ncbi.nlm.nih.gov/31131381","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/6534136"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209889.3209895","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209889.3209895","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3209889.3209895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100410108","display_name":"Jian Zhang","orcid":"https://orcid.org/0009-0004-4418-6094"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102313170","display_name":"Max W. Y. Lam","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Max Lam","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076479697","display_name":"Stephanie Wang","orcid":"https://orcid.org/0000-0001-5960-5491"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephanie Wang","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020645010","display_name":"Paroma Varma","orcid":"https://orcid.org/0000-0002-9035-2506"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paroma Varma","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008975166","display_name":"Luigi Nardi","orcid":"https://orcid.org/0000-0002-4601-2264"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luigi Nardi","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023857198","display_name":"Kunle Olukotun","orcid":"https://orcid.org/0000-0002-8779-0636"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kunle Olukotun","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103852640","display_name":"Christopher R\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Re","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.185,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.215781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":62,"max":70},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9974,"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":0.9974,"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/T10260","display_name":"Software Engineering Research","score":0.9973,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/overfitting","display_name":"Overfitting","score":0.88576627},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5235626},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4575547}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.88576627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807132},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.66702586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6097196},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5756029},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5235626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5038747},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.4925664},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4575547},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4516104},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4105368},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14120021},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209889.3209895","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209889.3209895","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc6534136","pdf_url":"https://europepmc.org/articles/pmc6534136?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534136","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31131381","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209889.3209895","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209889.3209895","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"No.1505728"},{"funder":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency","award_id":"No. N6600115C4043"},{"funder":"https://openalex.org/F4320337376","funder_display_name":"NIH Clinical Center","award_id":"No. U54EB020405"},{"funder":"https://openalex.org/F4320337674","funder_display_name":"Wind Energy Technologies Office","award_id":"No. 108845"},{"funder":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research","award_id":"No. 580K753"},{"funder":"https://openalex.org/F4320338298","funder_display_name":"Office of Naval Research Global","award_id":"No. N000141712266"}],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1532247067","https://openalex.org/W1647671624","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W2064675550","https://openalex.org/W2146292423","https://openalex.org/W2194775991","https://openalex.org/W2266822037","https://openalex.org/W2342249984","https://openalex.org/W2553303224","https://openalex.org/W2604259521","https://openalex.org/W2751836095","https://openalex.org/W2752512710","https://openalex.org/W2753688405","https://openalex.org/W2767002384","https://openalex.org/W2769041395","https://openalex.org/W2769653148","https://openalex.org/W2771751675","https://openalex.org/W2959716049","https://openalex.org/W2962746461","https://openalex.org/W2962778704","https://openalex.org/W4214671568","https://openalex.org/W4401946675"],"related_works":["https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W3172351367","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W2490526372","https://openalex.org/W1574414179"],"abstract_inverted_index":{"Using":[0],"machine":[1],"learning":[2,21,61],"to":[3,44,63,97,117,138],"analyze":[4],"data":[5,28,56],"often":[6],"results":[7],"in":[8,38,95],"developer":[9,39,241],"exhaust":[10,40,242],"--":[11],"code,":[12],"logs,":[13],"or":[14],"metadata":[15],"that":[16,89,128,213,247],"do":[17],"not":[18],"define":[19],"the":[20,27,34,178,184,191,198,210,216,222,225,232],"algorithm":[22],"but":[23],"are":[24],"byproducts":[25],"of":[26,75,142,154,186,194,221,231],"analytics":[29],"pipeline.":[30],"We":[31,104,144],"study":[32],"how":[33,240],"rich":[35],"information":[36,93],"present":[37,85,94],"can":[41,168,243,248],"be":[42],"used":[43],"approximately":[45],"solve":[46],"otherwise":[47],"complex":[48,251],"tasks.":[49],"Specifically,":[50],"we":[51,84],"focus":[52],"on":[53,92,163,175,204],"using":[54,132,183],"log":[55],"associated":[57,136],"with":[58,111,190,215],"training":[59,164,205],"deep":[60],"models":[62,212,219,246],"perform":[64,145],"model":[65,79,119,133,146,189,201],"search":[66,147],"by":[67,182],"predicting":[68],"performance":[69,82,140,185],"metrics":[70,141],"for":[71,80,101,149,239],"untrained":[72],"models.":[73],"Instead":[74],"designing":[76],"a":[77,107,112,123,161,187],"different":[78,102],"each":[81],"metric,":[83],"two":[86],"preliminary":[87,235],"methods":[88],"rely":[90],"only":[91,227],"logs":[96,137],"predict":[98,139,169],"these":[99],"characteristics":[100],"architectures.":[103],"introduce":[105],"(i)":[106],"nearest":[108],"neighbor":[109],"approach":[110,127],"hand-crafted":[113],"edit":[114],"distance":[115],"metric":[116],"compare":[118],"architectures":[120,134],"and":[121,135,156],"(ii)":[122],"more":[124],"generalizable,":[125],"end-to-end":[126],"trains":[129],"an":[130],"LSTM":[131],"interest.":[143],"optimizing":[148],"best":[150,157,199],"validation":[151,158,170],"accuracy,":[152],"degree":[153],"overfitting,":[155],"accuracy":[159,171],"given":[160,202],"constraint":[162],"time.":[165,233],"Our":[166,234],"approaches":[167,208],"within":[172],"1.37%":[173],"error":[174],"average,":[176],"while":[177,224],"baseline":[179,226],"achieves":[180,228],"4.13%":[181],"trained":[188],"closest":[192],"number":[193],"layers.":[195],"When":[196],"choosing":[197],"performing":[200],"constraints":[203],"time,":[206,223],"our":[207],"select":[209],"top-3":[211,218],"overlap":[214],"true":[217],"82%":[220],"this":[229],"54%":[230],"experiments":[236],"hold":[237],"promise":[238],"help":[244],"learn":[245],"approximate":[249],"various":[250],"tasks":[252],"efficiently.":[253]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2803823445","counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2024-12-15T18:58:07.286393","created_date":"2018-06-01"}