{"id":"https://openalex.org/W7169845512","doi":"https://doi.org/10.1145/3793655.3793712","title":"COMPASS: A Psychometrics-Guided Multi-Dimensional Benchmark for Code Generation Evaluation","display_name":"COMPASS: A Psychometrics-Guided Multi-Dimensional Benchmark for Code Generation Evaluation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7169845512","doi":"https://doi.org/10.1145/3793655.3793712"},"language":null,"primary_location":{"id":"doi:10.1145/3793655.3793712","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3793655.3793712","pdf_url":null,"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 2026 IEEE/ACM Third International Conference on AI Foundation Models and Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3793655.3793712","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5141299680","display_name":"James Meaden","orcid":"https://orcid.org/0000-0003-0561-7977"},"institutions":[{"id":"https://openalex.org/I4210127144","display_name":"Utility Development (United States)","ror":"https://ror.org/0357dmp95","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Meaden","raw_affiliation_strings":["Codility, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-0561-7977","affiliations":[{"raw_affiliation_string":"Codility, London, United Kingdom","institution_ids":["https://openalex.org/I4210127144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004374106","display_name":"Markus Borg","orcid":"https://orcid.org/0000-0001-7879-4371"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Markus Borg","raw_affiliation_strings":["CodeScene, Malm\u00f6, Sweden and Lund University, Lund, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-7879-4371","affiliations":[{"raw_affiliation_string":"CodeScene, Malm\u00f6, Sweden and Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5090000033378601},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4124000072479248},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.3239000141620636},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.27559998631477356},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2612999975681305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348000168800354},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5090000033378601},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3743000030517578},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.3239000141620636},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3793655.3793712","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3793655.3793712","pdf_url":null,"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 2026 IEEE/ACM Third International Conference on AI Foundation Models and Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3793655.3793712","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3793655.3793712","pdf_url":null,"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 2026 IEEE/ACM Third International Conference on AI Foundation Models and Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2130509252","https://openalex.org/W3202205940","https://openalex.org/W4292176579","https://openalex.org/W4388843369","https://openalex.org/W4399425040","https://openalex.org/W4402711364","https://openalex.org/W4405601795","https://openalex.org/W4406033152","https://openalex.org/W4413360322","https://openalex.org/W7125135101"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T06:00:27.337203","created_date":"2026-07-22T00:00:00"}