{"id":"https://openalex.org/W4412704073","doi":"https://doi.org/10.1145/3696630.3728724","title":"Generative AI Detection of Document Incompleteness, Inconsistencies, and Discrepancies","display_name":"Generative AI Detection of Document Incompleteness, Inconsistencies, and Discrepancies","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4412704073","doi":"https://doi.org/10.1145/3696630.3728724"},"language":"en","primary_location":{"id":"doi:10.1145/3696630.3728724","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728724","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728724","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on the Foundations of 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/10.1145/3696630.3728724","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110882703","display_name":"John Robert","orcid":null},"institutions":[{"id":"https://openalex.org/I114772536","display_name":"Software Engineering Institute","ror":"https://ror.org/01xqjjn94","country_code":"US","type":"facility","lineage":["https://openalex.org/I114772536","https://openalex.org/I74973139"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Robert","raw_affiliation_strings":["Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0009-0002-8494-4561","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I114772536","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059241576","display_name":"Carlos Olea","orcid":"https://orcid.org/0009-0006-9367-6625"},"institutions":[{"id":"https://openalex.org/I114772536","display_name":"Software Engineering Institute","ror":"https://ror.org/01xqjjn94","country_code":"US","type":"facility","lineage":["https://openalex.org/I114772536","https://openalex.org/I74973139"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Olea","raw_affiliation_strings":["Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0009-0006-9367-6625","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I114772536","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116196314","display_name":"Yash Hindka","orcid":null},"institutions":[{"id":"https://openalex.org/I114772536","display_name":"Software Engineering Institute","ror":"https://ror.org/01xqjjn94","country_code":"US","type":"facility","lineage":["https://openalex.org/I114772536","https://openalex.org/I74973139"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yash Hindka","raw_affiliation_strings":["Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0009-0006-6537-8794","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I114772536","https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022291362","display_name":"Nanette Brown","orcid":null},"institutions":[{"id":"https://openalex.org/I114772536","display_name":"Software Engineering Institute","ror":"https://ror.org/01xqjjn94","country_code":"US","type":"facility","lineage":["https://openalex.org/I114772536","https://openalex.org/I74973139"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanette Brown","raw_affiliation_strings":["Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0009-0005-8420-9307","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Software Engineering Institute, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I114772536","https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08135116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1381","last_page":"1385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9879999756813049,"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/T13629","display_name":"Text Readability and Simplification","score":0.9879999756813049,"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":0.9865000247955322,"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/T10028","display_name":"Topic Modeling","score":0.972000002861023,"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":0.7400773167610168},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7077622413635254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5225193500518799},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49327415227890015},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3272438645362854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400773167610168},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7077622413635254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5225193500518799},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49327415227890015},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3272438645362854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696630.3728724","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728724","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728724","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696630.3728724","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728724","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728724","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2144278397","display_name":null,"funder_award_id":"FA8702-15-D-0002","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G526907975","display_name":null,"funder_award_id":"FA8702-15-D-0002","funder_id":"https://openalex.org/F4320310207","funder_display_name":"Carnegie Mellon University"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412704073.pdf","grobid_xml":"https://content.openalex.org/works/W4412704073.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2331950998","https://openalex.org/W3166742321","https://openalex.org/W4283643053","https://openalex.org/W4321649710","https://openalex.org/W4378469989","https://openalex.org/W4392289672","https://openalex.org/W4401720461"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Software":[0,46],"development":[1],"activities":[2],"must":[3,48,52],"adhere":[4],"to":[5,12,43,77],"industry,":[6],"national,":[7],"and/or":[8,72,92],"international":[9],"regulatory":[10,50,65,68,94],"standards":[11,32],"ensure":[13],"security,":[14],"safety,":[15],"and":[16,28,56,62,85],"other":[17],"important":[18,81],"properties":[19],"in":[20],"high-stakes,":[21],"regulated":[22],"domains,":[23],"such":[24],"as":[25],"healthcare,":[26],"automotive,":[27],"aerospace.":[29],"These":[30],"software":[31,60,64,78,93],"are":[33],"often":[34],"codified":[35],"via":[36],"multiple":[37],"documents,":[38],"ranging":[39],"from":[40],"specific":[41],"requirements":[42],"general":[44],"guidance.":[45],"developers":[47,84],"demonstrate\u2014and":[49],"authorities":[51],"then":[53],"verify\u2014the":[54],"completeness":[55],"consistency":[57],"between":[58],"the":[59,63],"artifacts":[61,79],"documents.":[66],"Detecting":[67],"document":[69],"incompleteness,":[70],"inconsistencies,":[71],"discrepancies":[73],"(DIID)":[74],"with":[75],"respect":[76],"is":[80],"for":[82],"both":[83],"regulators":[86],"because":[87],"they":[88],"indicate":[89],"potential":[90],"non-conformance":[91],"risk.":[95]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}