{"id":"https://openalex.org/W2042154985","doi":"https://doi.org/10.1109/ase.2013.6693089","title":"Variability-aware performance prediction: A statistical learning approach","display_name":"Variability-aware performance prediction: A statistical learning approach","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2042154985","doi":"https://doi.org/10.1109/ase.2013.6693089","mag":"2042154985"},"language":"en","primary_location":{"id":"doi:10.1109/ase.2013.6693089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ase.2013.6693089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)","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/A5008649715","display_name":"Jianmei Guo","orcid":"https://orcid.org/0000-0001-5787-6781"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jianmei Guo","raw_affiliation_strings":["University of Waterloo, Canada","University of Waterloo-Canad\u00e1"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"University of Waterloo-Canad\u00e1","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066916130","display_name":"Krzysztof Czarnecki","orcid":"https://orcid.org/0000-0003-1642-1101"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Krzysztof Czarnecki","raw_affiliation_strings":["University of Waterloo, Canada","University of Waterloo-Canad\u00e1"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"University of Waterloo-Canad\u00e1","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054951840","display_name":"Sven Apel","orcid":"https://orcid.org/0000-0003-3687-2233"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Apel","raw_affiliation_strings":["University of Passau, Germany","Univ. of Passau, Germany"],"affiliations":[{"raw_affiliation_string":"University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Univ. of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004072538","display_name":"Norbert Siegmund","orcid":"https://orcid.org/0000-0001-7741-7777"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Norbert Siegmund","raw_affiliation_strings":["University of Passau, Germany","Univ. of Passau, Germany"],"affiliations":[{"raw_affiliation_string":"University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Univ. of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056755949","display_name":"Andrzej W\u0105sowski","orcid":"https://orcid.org/0000-0003-0532-2685"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]},{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Andrzej Wasowski","raw_affiliation_strings":["University of Copenhagen, Denmark","IT-University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]},{"raw_affiliation_string":"IT-University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008649715"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":25.0667,"has_fulltext":false,"cited_by_count":216,"citation_normalized_percentile":{"value":0.99353383,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"311"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.7833689451217651},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6863839626312256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5876277089118958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5066657662391663},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.49199816584587097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4767347574234009},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4675499498844147},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4590398967266083},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.45896315574645996},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4486598074436188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08014291524887085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833689451217651},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6863839626312256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5876277089118958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5066657662391663},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.49199816584587097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4767347574234009},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4675499498844147},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4590398967266083},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.45896315574645996},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4486598074436188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08014291524887085},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/ase.2013.6693089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ase.2013.6693089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.387.3903","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.3903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gsd.uwaterloo.ca/sites/default/files/ASE2013GCASW_PreprintFinal.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.405.8984","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.405.8984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gsd.uwaterloo.ca/sites/default/files/ASE2013GCASW_Preprint.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.411.3565","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.411.3565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.infosun.fim.uni-passau.de/publications/docs/ASE2013cart.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.636.6697","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.636.6697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.infosun.fim.uni-passau.de/cl/publications/docs/ASE2013cart.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/f8eff663-14c9-4dd9-a8b5-8fe90d9824f2","is_oa":false,"landing_page_url":"https://pure.itu.dk/portal/da/publications/f8eff663-14c9-4dd9-a8b5-8fe90d9824f2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Guo, J, Czarnecki, K, Apel, S, Siegmund, N & Wasowski, A 2013, Variability-aware performance prediction: A statistical learning approach. in Automated Software Engineering (ASE), 2013 IEEE/ACM 28th International Conference on . IEEE, pp. 301-311. https://doi.org/10.1109/ASE.2013.6693089","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W605091851","https://openalex.org/W1480376833","https://openalex.org/W1494019345","https://openalex.org/W1500250067","https://openalex.org/W1501652040","https://openalex.org/W1554944419","https://openalex.org/W1870624945","https://openalex.org/W1968560832","https://openalex.org/W2009288394","https://openalex.org/W2013108033","https://openalex.org/W2014515160","https://openalex.org/W2017630445","https://openalex.org/W2018475799","https://openalex.org/W2023331046","https://openalex.org/W2043119662","https://openalex.org/W2044258615","https://openalex.org/W2051555955","https://openalex.org/W2052532089","https://openalex.org/W2072325005","https://openalex.org/W2082677523","https://openalex.org/W2084241559","https://openalex.org/W2099213660","https://openalex.org/W2107277166","https://openalex.org/W2117695619","https://openalex.org/W2150069716","https://openalex.org/W2155915714","https://openalex.org/W2170940899","https://openalex.org/W2171033594","https://openalex.org/W2408181256","https://openalex.org/W2477378326","https://openalex.org/W2499178474","https://openalex.org/W3145442896","https://openalex.org/W4210909502","https://openalex.org/W4240484987","https://openalex.org/W4255176593","https://openalex.org/W6675205218"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W3033346322"],"abstract_inverted_index":{"Configurable":[0],"software":[1],"systems":[2],"allow":[3],"stakeholders":[4,23],"to":[5,24,27,42,63,79,121,128],"derive":[6,28],"program":[7,30],"variants":[8],"by":[9,109],"selecting":[10],"features.":[11],"Understanding":[12],"the":[13,106,132],"correlation":[14],"between":[15],"feature":[16,81],"selections":[17],"and":[18,125],"performance":[19,45,64,114],"is":[20,41],"important":[21],"for":[22],"be":[25],"able":[26],"a":[29,48,60,110],"variant":[31],"that":[32],"meets":[33],"their":[34],"requirements.":[35],"A":[36],"major":[37],"challenge":[38],"in":[39,134],"practice":[40],"accurately":[43],"predict":[44],"based":[46,97],"on":[47,85,98],"small":[49,99],"sample":[50],"of":[51,93,113],"measured":[52],"variants,":[53],"especially":[54],"when":[55],"features":[56],"interact.":[57],"We":[58],"propose":[59],"variability-aware":[61],"approach":[62,70,107,120],"prediction":[65,95],"via":[66],"statistical":[67],"learning.":[68],"The":[69],"works":[71,108],"progressively":[72],"with":[73],"random":[74,100],"samples,":[75],"without":[76],"additional":[77],"effort":[78],"detect":[80],"interactions.":[82],"Empirical":[83],"results":[84],"six":[86],"real-world":[87],"case":[88],"studies":[89],"demonstrate":[90],"an":[91,122],"average":[92],"94%":[94],"accuracy":[96],"samples.":[101],"Furthermore,":[102],"we":[103,117],"investigate":[104],"why":[105],"comparative":[111],"analysis":[112],"distributions.":[115],"Finally,":[116],"compare":[118],"our":[119],"existing":[123],"technique":[124],"guide":[126],"users":[127],"choose":[129],"one":[130],"or":[131],"other":[133],"practice.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":33},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}