{"id":"https://openalex.org/W2970627063","doi":"https://doi.org/10.1145/3336294.3342358","title":"A Graph-Based Feature Location Approach Using Set Theory","display_name":"A Graph-Based Feature Location Approach Using Set Theory","publication_year":2019,"publication_date":"2019-08-08","ids":{"openalex":"https://openalex.org/W2970627063","doi":"https://doi.org/10.1145/3336294.3342358","mag":"2970627063"},"language":"en","primary_location":{"id":"doi:10.1145/3336294.3342358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336294.3342358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A","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/A5027623195","display_name":"Richard A. Muller","orcid":"https://orcid.org/0000-0001-6730-4082"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Richard M\u00fcller","raw_affiliation_strings":["Leipzig University, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069568639","display_name":"Ulrich W. Eisenecker","orcid":null},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulrich Eisenecker","raw_affiliation_strings":["Leipzig University, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027623195"],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":1.1201,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83900503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9987000226974487,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7059468030929565},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.666205644607544},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6123666763305664},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5522902011871338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49448561668395996},{"id":"https://openalex.org/keywords/feature-model","display_name":"Feature model","score":0.49131932854652405},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.48510658740997314},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4747734069824219},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.45271575450897217},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4501839876174927},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44698357582092285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4268273413181305},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4189629554748535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40328294038772583},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38268089294433594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20063674449920654},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09618917107582092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059468030929565},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.666205644607544},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6123666763305664},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5522902011871338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49448561668395996},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.49131932854652405},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.48510658740997314},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4747734069824219},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.45271575450897217},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4501839876174927},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44698357582092285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4268273413181305},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4189629554748535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40328294038772583},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38268089294433594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20063674449920654},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09618917107582092},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336294.3342358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336294.3342358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1512360405","https://openalex.org/W1539495021","https://openalex.org/W2883715110","https://openalex.org/W2893113314"],"related_works":["https://openalex.org/W2059922809","https://openalex.org/W2387527986","https://openalex.org/W2479250593","https://openalex.org/W4283261428","https://openalex.org/W2131148043","https://openalex.org/W2092783274","https://openalex.org/W2378211422","https://openalex.org/W4318829426","https://openalex.org/W4391025849","https://openalex.org/W2524360652"],"abstract_inverted_index":{"The":[0,41,87],"ArgoUML":[1],"SPL":[2],"benchmark":[3,97],"addresses":[4],"feature":[5,18,21,54],"location":[6],"in":[7],"Software":[8],"Product":[9],"Lines":[10],"(SPLs),":[11],"where":[12],"single":[13],"features":[14],"as":[15,17,83,85],"well":[16,84],"combinations":[19],"and":[20,38,59,62,80],"negations":[22],"have":[23],"to":[24,48,70,92],"be":[25,57,66,71],"identified.":[26],"We":[27],"present":[28],"a":[29,35,74],"solution":[30,91],"for":[31],"this":[32,99],"challenge":[33],"using":[34],"graph-based":[36],"approach":[37],"set":[39],"theory.":[40],"results":[42],"are":[43],"promising.":[44],"Set":[45],"theory":[46],"allows":[47],"exactly":[49],"define":[50],"which":[51,60,63],"parts":[52],"of":[53,77,89,95],"locations":[55],"can":[56,65],"computed":[58],"precision":[61],"recall":[64],"achieved.":[67],"This":[68],"has":[69],"complemented":[72],"by":[73],"reliable":[75],"identification":[76],"feature-dependent":[78],"class":[79],"method":[81],"traces":[82],"refinements.":[86],"application":[88],"our":[90],"one":[93],"scenario":[94],"the":[96],"supports":[98],"claim.":[100]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
