{"id":"https://openalex.org/W2051552351","doi":"https://doi.org/10.1145/2639490.2639507","title":"Analysing defect inflow distribution of automotive software projects","display_name":"Analysing defect inflow distribution of automotive software projects","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2051552351","doi":"https://doi.org/10.1145/2639490.2639507","mag":"2051552351"},"language":"en","primary_location":{"id":"doi:10.1145/2639490.2639507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2639490.2639507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Predictive Models in Software Engineering","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/A5101500461","display_name":"Rakesh Rana","orcid":"https://orcid.org/0000-0002-0819-2516"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rakesh Rana","raw_affiliation_strings":["University of Gothenburg, Sweden","University of Gothenburg, Sweden;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]},{"raw_affiliation_string":"University of Gothenburg, Sweden;","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074020697","display_name":"Miroslaw Staron","orcid":"https://orcid.org/0000-0002-9052-0864"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Miroslaw Staron","raw_affiliation_strings":["University of Gothenburg, Sweden","University of Gothenburg, Sweden;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]},{"raw_affiliation_string":"University of Gothenburg, Sweden;","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101506146","display_name":"Christian Berger","orcid":"https://orcid.org/0000-0002-4828-1150"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christian Berger","raw_affiliation_strings":["University of Gothenburg, Sweden","University of Gothenburg, Sweden;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]},{"raw_affiliation_string":"University of Gothenburg, Sweden;","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111439626","display_name":"J\u00f6rgen Hansson","orcid":null},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"J\u00f6rgen Hansson","raw_affiliation_strings":["University of Gothenburg, Sweden","University of Gothenburg, Sweden;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]},{"raw_affiliation_string":"University of Gothenburg, Sweden;","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016808355","display_name":"Martin Nilsson","orcid":"https://orcid.org/0000-0002-7504-0328"},"institutions":[{"id":"https://openalex.org/I1340210623","display_name":"Volvo (Sweden)","ror":"https://ror.org/05b6ypc36","country_code":"SE","type":"company","lineage":["https://openalex.org/I1340210623"]},{"id":"https://openalex.org/I4387153628","display_name":"Volvo Cars (Sweden)","ror":"https://ror.org/005n5zv88","country_code":null,"type":"company","lineage":["https://openalex.org/I4210153393","https://openalex.org/I4387153628"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Martin Nilsson","raw_affiliation_strings":["Volvo Car Group, G\u00f6teborg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Volvo Car Group, G\u00f6teborg, Sweden","institution_ids":["https://openalex.org/I1340210623","https://openalex.org/I4387153628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":1.0,"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/T12423","display_name":"Software Reliability and Analysis Research","score":1.0,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9979000091552734,"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/T10260","display_name":"Software Engineering Research","score":0.9886999726295471,"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/inflow","display_name":"Inflow","score":0.8202282190322876},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.707876443862915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6252530813217163},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5588993430137634},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.5381395220756531},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5280141234397888},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4715050756931305},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.44366446137428284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40365684032440186},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3200608193874359},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.2228325605392456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1866273581981659},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17158964276313782}],"concepts":[{"id":"https://openalex.org/C2776132308","wikidata":"https://www.wikidata.org/wiki/Q11070850","display_name":"Inflow","level":2,"score":0.8202282190322876},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.707876443862915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6252530813217163},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5588993430137634},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.5381395220756531},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5280141234397888},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4715050756931305},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.44366446137428284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40365684032440186},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3200608193874359},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.2228325605392456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1866273581981659},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17158964276313782},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2639490.2639507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2639490.2639507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Predictive Models in Software Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:207892","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/207892","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321030","display_name":"VINNOVA","ror":"https://ror.org/01kd5m353"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W433023179","https://openalex.org/W656028932","https://openalex.org/W1512128027","https://openalex.org/W1525019691","https://openalex.org/W1572121282","https://openalex.org/W1573340842","https://openalex.org/W1857875347","https://openalex.org/W1864326261","https://openalex.org/W1926205450","https://openalex.org/W1965970907","https://openalex.org/W1967913446","https://openalex.org/W1978422733","https://openalex.org/W1984809272","https://openalex.org/W2007658902","https://openalex.org/W2009435671","https://openalex.org/W2015144323","https://openalex.org/W2020536195","https://openalex.org/W2021948416","https://openalex.org/W2050157787","https://openalex.org/W2065494290","https://openalex.org/W2081004173","https://openalex.org/W2095801530","https://openalex.org/W2122316932","https://openalex.org/W2125313811","https://openalex.org/W2141837897","https://openalex.org/W2162739315","https://openalex.org/W2163339218","https://openalex.org/W2167830984","https://openalex.org/W2171242934","https://openalex.org/W2181465509","https://openalex.org/W2913664426","https://openalex.org/W2914956942"],"related_works":["https://openalex.org/W2355543518","https://openalex.org/W2009404102","https://openalex.org/W2186136949","https://openalex.org/W2387285759","https://openalex.org/W2047712217","https://openalex.org/W2906480423","https://openalex.org/W3147033875","https://openalex.org/W2018620709","https://openalex.org/W2389839899","https://openalex.org/W2153235133"],"abstract_inverted_index":{"Defects":[0],"are":[1,42],"real":[2,80],"and":[3,13,19,26,39,72,124],"observable":[4],"indicators":[5],"of":[6,21,30,47,62,76,101,165],"software":[7,22,31,81,104],"quality":[8,18],"that":[9,142],"can":[10],"be":[11],"analyzed":[12],"modelled":[14],"to":[15,118,149,181],"track":[16],"the":[17,64,74,97,107,120,134,146,150,162,172,183,200],"reliability":[20,32],"system":[23],"during":[24],"development":[25],"testing.":[27],"A":[28],"number":[29],"growth":[33],"models":[34],"(SRGMs)":[35],"have":[36],"been":[37],"introduced":[38],"evaluated":[40],"which":[41,127],"based":[43],"on":[44],"different":[45,84,158],"family":[46],"distributions":[48,114],"such":[49],"as":[50,205],"exponential,":[51],"Weibull,":[52],"Non-Homogeneous":[53],"Poisson":[54],"Process":[55],"etc.":[56],"There":[57],"exist":[58],"no":[59],"standard":[60,113],"way":[61],"selecting":[63,133],"most":[65],"appropriate":[66,173,184],"SRGMs":[67,185],"for":[68,79,115,132,176,186,198],"given":[69],"defect":[70,77,98,121,151,166,192],"data":[71,123,153,177],"further":[73,196],"distribution":[75,100,135,144,159,164,194],"inflow":[78,99,122,152,167,193],"projects":[82,105,156],"from":[83,106,154],"industrial":[85],"domains":[86],"is":[87,130,195],"also":[88,125,180],"not":[89,168],"well":[90],"documented.":[91],"In":[92],"this":[93],"paper":[94],"we":[95],"explore":[96],"four":[102],"large":[103],"automotive":[108],"domain.":[109],"We":[110],"evaluate":[111],"six":[112],"their":[116],"ability":[117],"fit":[119,148],"assess":[126],"information":[128,190],"criterion":[129],"practical":[131],"with":[136,157],"best":[137,147],"fit.":[138],"Our":[139],"results":[140],"show":[141],"beta":[143],"provides":[145],"all":[155],"characteristics.":[160],"Finding":[161],"underlying":[163],"only":[169],"help":[170],"applying":[171],"statistical":[174],"techniques":[175],"analysis":[178],"but":[179],"select":[182],"modelling":[187,199],"reliability.":[188],"The":[189],"about":[191],"useful":[197],"prior":[201,206],"beliefs":[202],"or":[203],"experience":[204],"probabilities":[207],"in":[208],"Bayesian":[209],"analysis.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
