{"id":"https://openalex.org/W4313549871","doi":"https://doi.org/10.1145/3551349.3559514","title":"Detecting Inconsistencies in If-Condition-Raise Statements","display_name":"Detecting Inconsistencies in If-Condition-Raise Statements","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4313549871","doi":"https://doi.org/10.1145/3551349.3559514"},"language":"en","primary_location":{"id":"doi:10.1145/3551349.3559514","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3551349.3559514","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3551349.3559514","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3551349.3559514","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019267326","display_name":"Islem Bouzenia","orcid":"https://orcid.org/0000-0002-3920-3839"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Islem Bouzenia","raw_affiliation_strings":["University of Stuttgart, Software Lab, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Software Lab, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019267326"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16879712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9994999766349792,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9994999766349792,"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/T10260","display_name":"Software Engineering Research","score":0.9994000196456909,"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":0.9988999962806702,"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":0.556983470916748},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3256778419017792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.556983470916748},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3256778419017792}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3551349.3559514","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3551349.3559514","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3551349.3559514","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3551349.3559514","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3551349.3559514","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3551349.3559514","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G8390793956","display_name":null,"funder_award_id":"851895","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313549871.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2079599301","https://openalex.org/W2158092986","https://openalex.org/W2350778671","https://openalex.org/W2739564891","https://openalex.org/W2741422284","https://openalex.org/W2806718802","https://openalex.org/W3000689565","https://openalex.org/W3106349920","https://openalex.org/W3125781052","https://openalex.org/W3177116043","https://openalex.org/W3194346579","https://openalex.org/W3195156628","https://openalex.org/W4206312123","https://openalex.org/W4233925711","https://openalex.org/W4284665627"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Developers":[0],"use":[1],"exceptions":[2],"guarded":[3],"by":[4,168],"conditions":[5],"to":[6,63,96,104,120],"abort":[7],"the":[8,19,22,28,49,52,73,77,81,118,169],"execution":[9],"when":[10],"a":[11,46,59,86,134,139,144],"program":[12],"reaches":[13],"an":[14],"unexpected":[15],"state.":[16],"However,":[17],"sometimes":[18],"condition":[20,50],"and":[21,76,84,113],"raised":[23],"exception":[24,53,82],"do":[25],"not":[26],"imply":[27],"same":[29],"stopping":[30],"reason,":[31],"in":[32,48,88],"which":[33,162],"case,":[34],"we":[35,163],"call":[36],"them":[37],"inconsistent":[38,65,102],"if-condition-raise":[39,66,122],"statements.":[40,67],"The":[41,68],"inconsistency":[42],"can":[43],"originate":[44],"from":[45,125],"mistake":[47],"or":[51],"message.":[54],"This":[55],"paper":[56],"presents":[57],"IICR-Finder,":[58],"deep":[60],"learning-based":[61],"approach":[62,69,119],"detect":[64],"reasons":[70],"both":[71],"about":[72],"condition\u2019s":[74],"logic":[75],"natural":[78],"language":[79],"of":[80,90,101,129,136,141,146,161],"message":[83],"raises":[85],"warning":[87],"case":[89],"inconsistency.":[91],"We":[92,116],"present":[93],"six":[94],"techniques":[95],"automatically":[97],"generate":[98],"large":[99],"numbers":[100],"statements":[103,123],"train":[105],"two":[106],"neural":[107],"models":[108],"based":[109],"on":[110,143,152],"binary":[111],"classification":[112],"triplet":[114],"loss.":[115],"apply":[117],"210K":[121],"extracted":[124],"42":[126],"million":[127],"lines":[128],"Python":[130],"code.":[131],"It":[132],"achieves":[133],"precision":[135],"72%":[137],"at":[138],"recall":[140],"60%":[142],"dataset":[145],"past":[147],"bug":[148],"fixes.":[149],"Running":[150],"IICR-Finder":[151],"open-source":[153],"projects":[154],"reveals":[155],"30":[156],"previously":[157],"unknown":[158],"bugs,":[159],"ten":[160],"reported,":[164],"with":[165],"eight":[166],"confirmed":[167],"developers.":[170]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}