{"id":"https://openalex.org/W2050766837","doi":"https://doi.org/10.1145/2372251.2372300","title":"Does the prioritization technique affect stakeholders' selection of essential software product features?","display_name":"Does the prioritization technique affect stakeholders' selection of essential software product features?","publication_year":2012,"publication_date":"2012-09-19","ids":{"openalex":"https://openalex.org/W2050766837","doi":"https://doi.org/10.1145/2372251.2372300","mag":"2050766837"},"language":"en","primary_location":{"id":"doi:10.1145/2372251.2372300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2372251.2372300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019915006","display_name":"Hans Christian Benestad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hans Christian Benestad","raw_affiliation_strings":["Expertware AS, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Expertware AS, Oslo, Norway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072498429","display_name":"Jo Erskine Hannay","orcid":"https://orcid.org/0000-0002-8657-7593"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jo Erskine Hannay","raw_affiliation_strings":["Simula Research Laboratory, Lysaker, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula Research Laboratory, Lysaker, Norway","institution_ids":["https://openalex.org/I2799829267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9609,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.743789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9839000105857849,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9839000105857849,"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/T14306","display_name":"Technology Assessment and Management","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12945","display_name":"Quality Function Deployment in Product Design","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6703101396560669},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.6685134768486023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6359381079673767},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5521147847175598},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5170560479164124},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4688882529735565},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.46191927790641785},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42283323407173157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3763556182384491},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3593553900718689},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3492041230201721},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3218705654144287},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.2938479781150818},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.164950430393219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09682846069335938},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09559407830238342}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6703101396560669},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.6685134768486023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6359381079673767},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5521147847175598},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5170560479164124},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4688882529735565},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.46191927790641785},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42283323407173157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3763556182384491},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3593553900718689},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3492041230201721},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3218705654144287},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.2938479781150818},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.164950430393219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09682846069335938},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09559407830238342},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":1,"locations":[{"id":"doi:10.1145/2372251.2372300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2372251.2372300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W99990344","https://openalex.org/W394160670","https://openalex.org/W615422799","https://openalex.org/W1164604060","https://openalex.org/W1522381250","https://openalex.org/W1527311855","https://openalex.org/W1575922411","https://openalex.org/W1583369417","https://openalex.org/W1730782591","https://openalex.org/W1822004825","https://openalex.org/W1985558141","https://openalex.org/W1997797346","https://openalex.org/W2006257185","https://openalex.org/W2028359848","https://openalex.org/W2032152873","https://openalex.org/W2035705267","https://openalex.org/W2053928182","https://openalex.org/W2059331752","https://openalex.org/W2081078617","https://openalex.org/W2091579301","https://openalex.org/W2096380760","https://openalex.org/W2099911908","https://openalex.org/W2103483792","https://openalex.org/W2107881423","https://openalex.org/W2108755911","https://openalex.org/W2115281393","https://openalex.org/W2132627796","https://openalex.org/W2134052602","https://openalex.org/W2140984588","https://openalex.org/W2143889788","https://openalex.org/W2146246854","https://openalex.org/W2146435508","https://openalex.org/W2147042673","https://openalex.org/W2168575967","https://openalex.org/W2169433095","https://openalex.org/W2485417371","https://openalex.org/W2489782956","https://openalex.org/W2493255757","https://openalex.org/W4205399174","https://openalex.org/W4237789532","https://openalex.org/W4238122116","https://openalex.org/W4285719527","https://openalex.org/W4301005547"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W2466517183"],"abstract_inverted_index":{"Context:":[0],"To":[1,69],"select":[2],"the":[3,79,92,97,107,122,129,137,140,151,161,179,185,200,209,237],"essential,":[4],"non-negotiable":[5],"product":[6,48,131],"features":[7,49,108,132,169],"is":[8],"a":[9,88,110,117],"key":[10],"skill":[11],"for":[12,46,71,136],"stakeholders":[13],"in":[14,78,102,178,184,196,199,208],"software":[15,130],"projects.":[16],"Such":[17],"selection":[18],"relies":[19],"on":[20,150],"human":[21],"judgment,":[22],"possibly":[23],"supported":[24],"by":[25],"structured":[26],"prioritization":[27,41,94],"techniques":[28,42,55],"and":[29,63,73,87,147,158,182,203,226,234],"tools.":[30],"Goal:":[31],"Our":[32],"goal":[33],"was":[34,176,204],"to":[35,231,235],"investigate":[36],"whether":[37],"certain":[38],"attributes":[39],"of":[40,59,112,139,145,153,220,241],"affect":[43],"stakeholders'":[44,218],"threshold":[45],"judging":[47],"as":[50,172],"essential.":[51,173],"The":[52,143,174],"four":[53,57,103],"investigated":[54],"represent":[56],"combinations":[58],"granularity":[60,146],"(low,":[61,66],"high)":[62],"cognitive":[64,148,189],"support":[65,149,190,236],"high).":[67],"Method:":[68],"control":[70],"robustness":[72],"masking":[74],"effects":[75,144],"when":[76,115],"investigating":[77],"field,":[80],"we":[81],"conducted":[82],"both":[83],"an":[84],"artificial":[85,98],"experiment":[86,90,181],"field":[89,123,186,210],"using":[91],"same":[93],"techniques.":[95],"In":[96,121],"experiment,":[99,124],"94":[100],"subjects":[101],"treatment":[104],"groups":[105],"indicated":[106,128],"(from":[109],"list":[111],"16)":[113],"essential":[114,135,154],"buying":[116],"new":[118],"cell":[119],"phone.":[120],"44":[125],"domain":[126],"experts":[127],"that":[133],"were":[134,156,170],"fulfillment":[138],"project's":[141],"vision.":[142],"number":[152],"ratings":[155],"analyzed":[157],"compared":[159],"between":[160],"experiments.":[162],"Result:":[163],"With":[164],"lower":[165],"granularity,":[166],"significantly":[167],"more":[168],"rated":[171],"effect":[175],"large":[177],"general":[180],"extreme":[183],"experiment.":[187,211],"Added":[188],"had":[191],"medium":[192],"effect,":[193],"but":[194],"worked":[195],"opposite":[197],"directions":[198],"two":[201],"experiments,":[202],"not":[205],"statistically":[206],"significant":[207],"Implications:":[212],"Software":[213],"projects":[214],"should":[215,228],"avoid":[216],"taking":[217],"judgments":[219],"essentiality":[221],"at":[222],"face":[223],"value.":[224],"Practices":[225],"tools":[227],"be":[229],"designed":[230],"counteract":[232],"biases":[233],"conscious":[238],"knowledge-based":[239],"elements":[240],"prioritizing.":[242]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
