{"id":"https://openalex.org/W4312763191","doi":"https://doi.org/10.1145/3524842.3528472","title":"Evaluating the effectiveness of local explanation methods on source code-based defect prediction models","display_name":"Evaluating the effectiveness of local explanation methods on source code-based defect prediction models","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4312763191","doi":"https://doi.org/10.1145/3524842.3528472"},"language":"en","primary_location":{"id":"doi:10.1145/3524842.3528472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524842.3528472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Mining Software Repositories","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/A5081955872","display_name":"Yuxiang Gao","orcid":"https://orcid.org/0000-0003-4112-6139"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Gao","raw_affiliation_strings":["Jiangsu Normal University, Xuzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045036903","display_name":"Yi Zhu","orcid":"https://orcid.org/0000-0002-0996-0142"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhu","raw_affiliation_strings":["Jiangsu Normal University, Xuzhoujiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University, Xuzhoujiangsu, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101732858","display_name":"Yu Qiao","orcid":"https://orcid.org/0000-0003-0962-826X"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Yu","raw_affiliation_strings":["Jiangsu Normal University, Xuzhoujiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University, Xuzhoujiangsu, China","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":3.1873,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93217335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"640","last_page":"645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9994999766349792,"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/T10260","display_name":"Software Engineering Research","score":0.9994999766349792,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.770918607711792},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7348008155822754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6226473450660706},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5952790975570679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715830326080322},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.545680820941925},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5411405563354492},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.528965175151825},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4970236122608185},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4363701343536377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770918607711792},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7348008155822754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6226473450660706},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5952790975570679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715830326080322},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.545680820941925},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5411405563354492},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.528965175151825},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4970236122608185},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4363701343536377},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524842.3528472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524842.3528472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Mining Software Repositories","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G3445540757","display_name":null,"funder_award_id":"62077029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2025700486","https://openalex.org/W2059215200","https://openalex.org/W2113211233","https://openalex.org/W2240067561","https://openalex.org/W2282821441","https://openalex.org/W2360967250","https://openalex.org/W2743316948","https://openalex.org/W2804878416","https://openalex.org/W2888348590","https://openalex.org/W2894923858","https://openalex.org/W2898124301","https://openalex.org/W2955991060","https://openalex.org/W2963233086","https://openalex.org/W2963548617","https://openalex.org/W2978803698","https://openalex.org/W2998056950","https://openalex.org/W3011013751","https://openalex.org/W3034350582","https://openalex.org/W3105867435","https://openalex.org/W3110943671","https://openalex.org/W3129454500","https://openalex.org/W3133782093","https://openalex.org/W3163466556","https://openalex.org/W3173247797","https://openalex.org/W3174750614","https://openalex.org/W4213053623","https://openalex.org/W4287326492"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W2001919569","https://openalex.org/W3081644756"],"abstract_inverted_index":{"Interpretation":[0],"has":[1,23],"been":[2,24],"considered":[3],"as":[4],"one":[5,16],"of":[6,32,87,94,123,134],"key":[7],"factors":[8],"for":[9,18,27],"applying":[10],"defect":[11,47,102],"prediction":[12,48,103],"in":[13],"practice.":[14],"As":[15],"way":[17],"interpretation,":[19],"local":[20,41,64,78,95,135],"explanation":[21,42,65,81,96,136],"methods":[22,43,66,71,97,137],"widely":[25],"used":[26],"certain":[28],"predictions":[29,122],"on":[30,44,77,84,99,108],"datasets":[31],"traditional":[33],"features.":[34],"There":[35],"are":[36,106],"also":[37,129],"attempts":[38],"to":[39,119,142],"use":[40],"source":[45],"code-based":[46],"models,":[49,111],"but":[50],"unfortunately,":[51],"it":[52,58],"will":[53],"get":[54,143],"poor":[55],"results.":[56],"Since":[57],"is":[59],"unclear":[60],"how":[61],"effective":[62,107,117],"those":[63],"are,":[67],"we":[68,89,128],"evaluate":[69],"such":[70],"with":[72],"automatic":[73],"metrics":[74],"which":[75],"focus":[76],"faithfulness":[79],"and":[80,146],"precision.":[82],"Based":[83],"the":[85,92,100,132],"results":[86],"experiments,":[88],"find":[90,130],"that":[91,131],"effectiveness":[93],"depends":[98],"adopted":[101],"models.":[104,126],"They":[105],"token":[109],"frequency-based":[110],"while":[112],"they":[113],"may":[114],"not":[115],"be":[116,139],"enough":[118],"explain":[120],"all":[121],"deep":[124],"learning-based":[125],"Besides,":[127],"hyperparameter":[133],"should":[138],"carefully":[140],"optimized":[141],"more":[144],"precise":[145],"meaningful":[147],"explanation.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
