{"id":"https://openalex.org/W7214916657","doi":"https://doi.org/10.48550/arxiv.2609.35834","title":"A Leakage-Safe, Cost-Aware Regression Testing Methodology for the Quantum Transpiler","display_name":"A Leakage-Safe, Cost-Aware Regression Testing Methodology for the Quantum Transpiler","publication_year":2026,"publication_date":"2026-09-24","ids":{"openalex":"https://openalex.org/W7214916657","doi":"https://doi.org/10.48550/arxiv.2609.35834"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.35834","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35834","pdf_url":"https://arxiv.org/pdf/2609.35834","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.35834","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069039906","display_name":"Furqan Nasir","orcid":"https://orcid.org/0000-0002-5259-3448","observed_orcids":["https://orcid.org/0000-0002-5259-3448"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nasir, Furqan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016911632","display_name":"Muhammad Arif Shah","orcid":"https://orcid.org/0000-0003-0090-3333","observed_orcids":["https://orcid.org/0000-0003-0090-3333"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shah, Muhammad Arif","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5153657987","display_name":"Ifitkhar Alam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alam, Ifitkhar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9990000128746033,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":9.999999747378752e-05,"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/T10260","display_name":"Software Engineering Research","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regression-testing","display_name":"regression testing","score":0.7310000061988831},{"id":"https://openalex.org/keywords/test-case-selection","display_name":"test selection","score":0.7009999752044678},{"id":"https://openalex.org/keywords/test-case-prioritization","display_name":"test case prioritization","score":0.6290000081062317},{"id":"https://openalex.org/keywords/qiskit","display_name":"Qiskit","score":0.9990000128746033},{"id":"https://openalex.org/keywords/continuous-integration","display_name":"continuous integration","score":0.7129999995231628},{"id":"https://openalex.org/keywords/data-leakage","display_name":"data leakage","score":0.5460000038146973},{"id":"https://openalex.org/keywords/pre-registered-evaluation","display_name":"pre-registered evaluation","score":0.8529999852180481},{"id":"https://openalex.org/keywords/mutation-testing","display_name":"mutation testing","score":0.8360000252723694},{"id":"https://openalex.org/keywords/test-suite-diversity","display_name":"test suite diversity","score":0.5839999914169312}],"concepts":[{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.49459999799728394},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4916999936103821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4851999878883362},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4244999885559082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41269999742507935},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.38429999351501465},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.296999990940094},{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.28049999475479126},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.271699994802475}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.35834","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35834","pdf_url":"https://arxiv.org/pdf/2609.35834","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2609.35834","doi":"https://doi.org/10.48550/arxiv.2609.35834","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.35834","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.35834","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35834","pdf_url":"https://arxiv.org/pdf/2609.35834","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214916657.pdf","grobid_xml":"https://content.openalex.org/works/W7214916657.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7208744745","https://openalex.org/W7214129289","https://openalex.org/W7109524651","https://openalex.org/W7099054624","https://openalex.org/W7213874764","https://openalex.org/W1981875534","https://openalex.org/W4406616305","https://openalex.org/W7204250105","https://openalex.org/W7170996013","https://openalex.org/W2098766297"],"abstract_inverted_index":{"Quantum":[0],"SDKs":[1],"such":[2],"as":[3,229],"Qiskit":[4,45,209],"are":[5,145,248],"revised":[6],"continually,":[7],"and":[8,24,123,139,240],"a":[9,15,28,33,38,49,61,181,220],"single":[10],"transpiler-pass":[11],"change":[12],"can":[13],"introduce":[14],"software":[16,245],"regression,":[17],"so":[18],"continuous":[19],"integration":[20],"(CI)":[21],"must":[22],"select":[23],"prioritize":[25],"tests":[26,164],"from":[27,78,207,242],"large,":[29],"cost-heterogeneous":[30,62],"suite":[31],"under":[32,219],"fixed":[34,77],"budget.":[35],"We":[36,224],"present":[37],"leakage-safe,":[39],"cost-aware":[40],"regression-test-selection":[41],"methodology":[42],"for":[43,111,250],"the":[44,131,146,165,174,177,194,226],"quantum":[46],"transpiler,":[47],"with":[48,118,234],"pre-registered,":[50],"budget":[51],"binding":[52],"evaluation":[53,59,153],"that":[54],"avoids":[55],"data":[56],"leakage.":[57],"The":[58],"uses":[60],"corpus":[63],"(116":[64],"units,":[65],"per-unit":[66],"cost":[67,80],"spread":[68],"9,945X,":[69],"T_full":[70],"=":[71,115,189,201],"69.17":[72],"s)":[73],"whose":[74],"budgets":[75],"were":[76],"measured":[79],"before":[81],"any":[82],"test-oracle":[83],"label":[84],"was":[85],"read.":[86],"A":[87,127,149],"transparent":[88],"risk_score":[89],"selector":[90,168],"does":[91],"not":[92,141,217],"beat":[93],"simple":[94],"test":[95],"case-prioritization":[96],"baselines:":[97],"mean":[98],"detection-vs-budget":[99],"AUC":[100],"is":[101],"0.721":[102],"[95%":[103],"CI":[104,210],"0.44,":[105],"0.94]":[106],"versus":[107],"0.874":[108],"[0.65,":[109],"1.00]":[110],"diversity-only":[112],"(Cliff's":[113],"\u03b4":[114,188,200],"-0.64,":[116],"large),":[117],"cost/history/change-stage":[119],"baselines":[120],"at":[121,125],"0.840":[122],"random":[124],"0.821.":[126],"component":[128],"ablation":[129],"shows":[130],"composite":[132,196],"underperforms":[133],"its":[134,235],"own":[135],"best":[136],"signal:":[137],"diversity":[138],"novelty,":[140],"severity":[142],"or":[143],"cost,":[144],"effective":[147],"signal.":[148],"second,":[150],"independently":[151],"pre-registered":[152,232],"(19":[154],"mutation-testing":[155],"events:":[156],"nine":[157],"original":[158,195],"plus":[159],"ten":[160],"new,":[161],"verified":[162,204],"operators)":[163],"decomposed,":[166],"diversity-first":[167],"this":[169,243],"mechanism":[170],"implies:":[171],"it":[172],"closes":[173],"gap":[175],"to":[176,180],"strongest":[178],"baseline":[179],"negligible":[182],"effect":[183],"size":[184],"(0.880":[185,197],"vs":[186,198],"0.880,":[187],"-0.08)":[190],"while":[191],"decisively":[192],"beating":[193],"0.768,":[199],"+0.57).":[202],"Two":[203],"forward-regression":[205],"events":[206],"real":[208],"history":[211],"corroborate":[212],"it,":[213],"reported":[214],"per":[215],"event,":[216],"pooled,":[218],"pre-declared":[221],"claim-scope":[222],"rule.":[223],"report":[225],"negative":[227],"result":[228],"an":[230],"honest,":[231],"finding":[233],"mechanism.":[236],"All":[237],"code,":[238],"data,":[239],"artifacts":[241],"empirical":[244],"engineering":[246],"study":[247],"released":[249],"reproducibility.":[251]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-10-01T00:00:00"}
