{"id":"https://openalex.org/W2909303912","doi":"https://doi.org/10.1145/3236454.3236457","title":"Detecting anomalies in Kotlin code","display_name":"Detecting anomalies in Kotlin code","publication_year":2018,"publication_date":"2018-07-16","ids":{"openalex":"https://openalex.org/W2909303912","doi":"https://doi.org/10.1145/3236454.3236457","mag":"2909303912"},"language":"en","primary_location":{"id":"doi:10.1145/3236454.3236457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3236454.3236457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings for the ISSTA/ECOOP 2018 Workshops","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/A5065316896","display_name":"Timofey Bryksin","orcid":"https://orcid.org/0000-0001-9022-3563"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Timofey Bryksin","raw_affiliation_strings":["Saint Petersburg State University, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036570183","display_name":"Victor Petukhov","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Victor Petukhov","raw_affiliation_strings":["ITMO University, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITMO University, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056216237","display_name":"Smirenko Kirill","orcid":null},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Kirill Smirenko","raw_affiliation_strings":["Saint Petersburg State University, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081382143","display_name":"Nikita Povarov","orcid":"https://orcid.org/0000-0003-4894-0598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikita Povarov","raw_affiliation_strings":["JetBrains, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JetBrains, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8448,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81292451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"96","issue":null,"first_page":"10","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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":0.9991000294685364,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8411762714385986},{"id":"https://openalex.org/keywords/codebase","display_name":"Codebase","score":0.808201789855957},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.7326120138168335},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6618210673332214},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.49172738194465637},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.41975897550582886},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.359560489654541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26238366961479187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8411762714385986},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.808201789855957},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.7326120138168335},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6618210673332214},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.49172738194465637},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.41975897550582886},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.359560489654541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26238366961479187},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3236454.3236457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3236454.3236457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings for the ISSTA/ECOOP 2018 Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2025677988","https://openalex.org/W2059215200","https://openalex.org/W2116409384","https://openalex.org/W2122646361","https://openalex.org/W2144182447","https://openalex.org/W2296719434"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"This":[0],"paper":[1,93],"discusses":[2],"code":[3,6,24,58,80],"anomalies":[4,59],"-":[5],"fragments":[7,25],"that":[8,14],"are":[9,26],"written":[10],"in":[11],"some":[12],"way":[13],"is":[15],"not":[16],"typical":[17],"for":[18,28,60],"the":[19,43,48,54],"programming":[20],"language":[21,29],"community.":[22],"Such":[23],"useful":[27],"creators":[30],"as":[31,47],"performance":[32],"tests,":[33],"or":[34],"they":[35],"could":[36,65],"provide":[37],"insights":[38],"on":[39,88],"how":[40,53],"to":[41,78,84],"improve":[42],"language.":[44],"With":[45],"Kotlin":[46],"target":[49],"language,":[50],"we":[51],"discuss":[52,76],"task":[55],"of":[56],"detecting":[57],"a":[61],"very":[62],"large":[63],"codebase":[64],"be":[66],"solved":[67],"using":[68],"well-known":[69],"anomaly":[70,86],"detection":[71,87],"techniques.":[72],"We":[73],"outline":[74],"and":[75,83],"approaches":[77],"obtain":[79],"vector":[81],"representation":[82],"perform":[85],"such":[89],"vectorized":[90],"data.":[91],"The":[92],"concludes":[94],"with":[95],"our":[96],"preliminary":[97],"results.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}