{"id":"https://openalex.org/W7136970578","doi":"https://doi.org/10.48550/arxiv.2603.12406","title":"Team Diversity Promotes Software Fairness: An Experiment on Fairness-Aware Requirements Prioritization","display_name":"Team Diversity Promotes Software Fairness: An Experiment on Fairness-Aware Requirements Prioritization","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7136970578","doi":"https://doi.org/10.48550/arxiv.2603.12406"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.12406","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5095848490","display_name":"Cleyton Magalhes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Magalhes, Cleyton","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129545945","display_name":"Ronnie de Souza Santos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Santos, Ronnie de Souza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085242058","display_name":"Bimpe Ayoola","orcid":"https://orcid.org/0000-0002-1802-9819"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayoola, Bimpe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091492434","display_name":"Brody Stuart-Verner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stuart-Verner, Brody","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129544321","display_name":"Italo Santos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Santos, Italo","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":false,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.79339998960495,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.79339998960495,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.06019999831914902,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.020099999383091927,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/diversity","display_name":"Diversity (politics)","score":0.6801999807357788},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.5770000219345093},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5680000185966492},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5347999930381775},{"id":"https://openalex.org/keywords/thematic-analysis","display_name":"Thematic analysis","score":0.43799999356269836},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.4083000123500824},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.388700008392334}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6801999807357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861999988555908},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.5770000219345093},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5680000185966492},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5347999930381775},{"id":"https://openalex.org/C74196892","wikidata":"https://www.wikidata.org/wiki/Q7781188","display_name":"Thematic analysis","level":3,"score":0.43799999356269836},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4253999888896942},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.4083000123500824},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C130505052","wikidata":"https://www.wikidata.org/wiki/Q7314872","display_name":"Requirement prioritization","level":5,"score":0.3718000054359436},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3643999993801117},{"id":"https://openalex.org/C54534927","wikidata":"https://www.wikidata.org/wiki/Q4462275","display_name":"Software requirements","level":5,"score":0.3224000036716461},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3093000054359436},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.27570000290870667},{"id":"https://openalex.org/C128654540","wikidata":"https://www.wikidata.org/wiki/Q7691641","display_name":"Team composition","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.25619998574256897},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.12406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"sustainable_development_goals":[{"score":0.7662882208824158,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\\textbf{Background:}":[0],"Fairness":[1],"and":[2,14,96,117,120,147,166,179,215,226],"diversity":[3,56,68,210],"are":[4],"receiving":[5],"growing":[6],"attention":[7],"in":[8,60,69,161],"software":[9,47,61,70,88,207],"engineering,":[10],"particularly":[11],"as":[12],"AI":[13],"machine":[15],"learning":[16],"systems":[17],"increasingly":[18],"influence":[19],"decision-making":[20],"processes.":[21],"While":[22],"fairness":[23,108,139,152,163,169,198,218],"is":[24,34,40,51],"often":[25],"examined":[26],"at":[27],"the":[28,43,127,203,213],"algorithmic":[29],"or":[30],"data":[31],"level,":[32],"there":[33],"limited":[35],"understanding":[36],"of":[37,46,87,206,217],"how":[38,54,67],"it":[39],"addressed":[41],"during":[42,75,220],"early":[44],"stages":[45,205],"development.":[48,208],"Moreover,":[49],"little":[50],"known":[52],"about":[53],"team":[55],"affects":[57],"fairness-related":[58],"decisions":[59],"projects.":[62],"\\textbf{Aims:}":[63],"This":[64],"study":[65],"investigates":[66],"teams":[71],"influences":[72],"fairness-aware":[73],"behavior":[74],"requirements":[76,221],"prioritization.":[77],"\\textbf{Method:}":[78],"A":[79],"controlled":[80],"experiment":[81],"was":[82,123],"conducted":[83],"with":[84,106,138],"27":[85],"pairs":[86,95,157,185],"engineering":[89],"students,":[90],"including":[91],"13":[92],"LGBTQ":[93,155],"diverse":[94,99,156,184],"14":[97],"non":[98,177,183],"pairs.":[100],"Each":[101],"pair":[102],"prioritized":[103],"user":[104],"stories":[105,165],"varying":[107],"implications.":[109],"Descriptive":[110],"statistics":[111],"were":[112,158],"used":[113],"to":[114,125],"analyze":[115],"attitudes":[116],"prioritization":[118],"outcomes,":[119],"thematic":[121],"analysis":[122],"applied":[124],"examine":[126],"reasoning":[128,174],"behind":[129],"participants'":[130],"decisions.":[131],"\\textbf{Results:}":[132],"Both":[133],"groups":[134],"demonstrated":[135],"general":[136],"alignment":[137],"principles,":[140],"prioritizing":[141],"features":[142],"that":[143,150,197],"promoted":[144],"equitable":[145],"treatment":[146],"rejecting":[148,162],"those":[149],"posed":[151],"risks.":[153],"However,":[154],"more":[159,188,224],"consistent":[160],"risking":[164],"made":[167],"fewer":[168],"related":[170],"misprioritization":[171],"errors.":[172],"Their":[173],"emphasized":[175],"inclusion,":[176],"discrimination,":[178],"ethical":[180],"responsibility,":[181],"whereas":[182],"adopted":[186],"a":[187],"pragmatic,":[189],"goal":[190],"oriented":[191],"perspective.":[192],"\\textbf{Conclusions:}":[193],"The":[194],"findings":[195],"indicate":[196],"should":[199],"be":[200],"considered":[201],"from":[202],"earliest":[204],"Team":[209],"can":[211],"enhance":[212],"identification":[214],"interpretation":[216],"issues":[219],"analysis,":[222],"fostering":[223],"reflective":[225],"inclusive":[227],"decision":[228],"making.":[229]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-17T00:00:00"}