{"id":"https://openalex.org/W3086207785","doi":"https://doi.org/10.1145/3387904.3389289","title":"Staged Tree Matching for Detecting Code Move across Files","display_name":"Staged Tree Matching for Detecting Code Move across Files","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3086207785","doi":"https://doi.org/10.1145/3387904.3389289","mag":"3086207785"},"language":"en","primary_location":{"id":"doi:10.1145/3387904.3389289","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3387904.3389289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Program Comprehension","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/A5103087907","display_name":"Akira Fujimoto","orcid":"https://orcid.org/0000-0002-2894-9336"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akira Fujimoto","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024065727","display_name":"Yoshiki Higo","orcid":"https://orcid.org/0000-0002-8278-8975"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Higo","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103926195","display_name":"Junnosuke Matsumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junnosuke Matsumoto","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109843671","display_name":"Shinji Kusumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Kusumoto","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103087907"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65076138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"396","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"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":1.0,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9968000054359436,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8548316955566406},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.7828836441040039},{"id":"https://openalex.org/keywords/abstract-syntax-tree","display_name":"Abstract syntax tree","score":0.7508982419967651},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6367621421813965},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6313459873199463},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5627540946006775},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.553195595741272},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5035452246665955},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.489729642868042},{"id":"https://openalex.org/keywords/abstract-syntax","display_name":"Abstract syntax","score":0.41970765590667725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1592564880847931},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.14346730709075928},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.1288556456565857},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.11453929543495178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06662765145301819},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06009972095489502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8548316955566406},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.7828836441040039},{"id":"https://openalex.org/C58646249","wikidata":"https://www.wikidata.org/wiki/Q127380","display_name":"Abstract syntax tree","level":3,"score":0.7508982419967651},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6367621421813965},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6313459873199463},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5627540946006775},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.553195595741272},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5035452246665955},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.489729642868042},{"id":"https://openalex.org/C114408938","wikidata":"https://www.wikidata.org/wiki/Q333373","display_name":"Abstract syntax","level":3,"score":0.41970765590667725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1592564880847931},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.14346730709075928},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.1288556456565857},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.11453929543495178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06662765145301819},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06009972095489502},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3387904.3389289","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3387904.3389289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Program Comprehension","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":8,"referenced_works":["https://openalex.org/W422455458","https://openalex.org/W2153150125","https://openalex.org/W2548627465","https://openalex.org/W2597809331","https://openalex.org/W2767837303","https://openalex.org/W2795027827","https://openalex.org/W2883590803","https://openalex.org/W2944738881"],"related_works":["https://openalex.org/W2077104824","https://openalex.org/W2536864162","https://openalex.org/W2613250302","https://openalex.org/W2390421503","https://openalex.org/W4389751695","https://openalex.org/W2387926336","https://openalex.org/W2143166528","https://openalex.org/W2364428493","https://openalex.org/W4400066978","https://openalex.org/W2773378563"],"abstract_inverted_index":{"In":[0,82],"software":[1],"development,":[2],"developers":[3],"often":[4],"need":[5],"to":[6,88,105,111,139],"understand":[7],"source":[8,21,31,97,128],"code":[9,22,32,49,78,114,141,154],"differences":[10,50],"in":[11,60,100,145,158],"their":[12],"activities.":[13],"GumTree":[14,24,63],"is":[15],"a":[16,36,90,101,107,123,134],"tool":[17],"that":[18,72],"detects":[19],"tree-based":[20],"differences.":[23],"constructs":[25],"abstract":[26,92],"syntax":[27,93],"trees":[28],"from":[29,95],"the":[30,55,65,147,150],"before":[33],"and":[34,39,45,103,117,149],"after":[35],"given":[37],"change,":[38],"then,":[40],"it":[41,73],"identifies":[42],"inserted/deleted/moved":[43],"subtrees":[44],"updated":[46],"nodes.":[47],"Source":[48],"are":[51],"detected":[52],"based":[53],"on":[54,126],"four":[56],"kinds":[57],"of":[58,77,152],"information":[59],"GumTree.":[61],"However,":[62],"calculates":[64],"difference":[66],"for":[67],"each":[68],"file":[69],"individually,":[70],"so":[71],"cannot":[74],"detect":[75,112,140],"moves":[76,115,142,155],"fragments":[79],"across":[80,143],"files.":[81],"this":[83],"research,":[84],"we":[85,136],"propose":[86],"(1)":[87],"construct":[89],"single":[91],"tree":[94,109],"all":[96,146],"files":[98,144],"included":[99],"project":[102],"(2)":[104],"perform":[106],"staged":[108],"matching":[110],"across-file":[113],"efficiently":[116],"accurately.":[118],"We":[119],"have":[120],"already":[121],"conducted":[122],"pilot":[124],"experiment":[125],"open":[127],"projects":[129],"with":[130],"our":[131],"technique.":[132],"As":[133],"result,":[135],"were":[137],"able":[138],"projects,":[148],"number":[151],"such":[153],"was":[156],"76,600":[157],"total.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}