{"id":"https://openalex.org/W4399567462","doi":"https://doi.org/10.1145/3650105.3652292","title":"Planning to Guide LLM for Code Coverage Prediction","display_name":"Planning to Guide LLM for Code Coverage Prediction","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4399567462","doi":"https://doi.org/10.1145/3650105.3652292"},"language":"en","primary_location":{"id":"doi:10.1145/3650105.3652292","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650105.3652292","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650105.3652292","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 2024 IEEE/ACM First 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://dl.acm.org/doi/pdf/10.1145/3650105.3652292","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099100763","display_name":"Hridya Dhulipala","orcid":"https://orcid.org/0009-0001-4474-2984"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hridya Dhulipala","raw_affiliation_strings":["Computer Science department, University of Texas at Dallas, Dallas, Texas, USA"],"raw_orcid":"https://orcid.org/0009-0001-4474-2984","affiliations":[{"raw_affiliation_string":"Computer Science department, University of Texas at Dallas, Dallas, Texas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013721981","display_name":"Aashish Yadavally","orcid":"https://orcid.org/0000-0001-8785-6319"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aashish Yadavally","raw_affiliation_strings":["Computer Science department, University of Texas at Dallas, Dallas, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0001-8785-6319","affiliations":[{"raw_affiliation_string":"Computer Science department, University of Texas at Dallas, Dallas, Texas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089000736","display_name":"Tien N. Nguyen","orcid":"https://orcid.org/0009-0006-7962-6090"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tien N. Nguyen","raw_affiliation_strings":["Computer Science department, University of Texas at Dallas, Dallas, Texas, USA"],"raw_orcid":"https://orcid.org/0009-0006-7962-6090","affiliations":[{"raw_affiliation_string":"Computer Science department, University of Texas at Dallas, Dallas, Texas, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"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":0.9998000264167786,"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/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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9970999956130981,"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/codebase","display_name":"Codebase","score":0.8684885501861572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8495235443115234},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6555222868919373},{"id":"https://openalex.org/keywords/code-coverage","display_name":"Code coverage","score":0.5929327011108398},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.5860937237739563},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.585371732711792},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.49104762077331543},{"id":"https://openalex.org/keywords/code-review","display_name":"Code review","score":0.4780298173427582},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.4495934545993805},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4426004886627197},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.4317556917667389},{"id":"https://openalex.org/keywords/control-flow","display_name":"Control flow","score":0.41899383068084717},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4009853005409241},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3868553042411804},{"id":"https://openalex.org/keywords/static-program-analysis","display_name":"Static program analysis","score":0.3742813467979431},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36689960956573486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3449266254901886},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.2750603258609772},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.16262751817703247},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.1565265953540802}],"concepts":[{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.8684885501861572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8495235443115234},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6555222868919373},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.5929327011108398},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.5860937237739563},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.585371732711792},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.49104762077331543},{"id":"https://openalex.org/C150292731","wikidata":"https://www.wikidata.org/wiki/Q1342704","display_name":"Code review","level":5,"score":0.4780298173427582},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.4495934545993805},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4426004886627197},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.4317556917667389},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.41899383068084717},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4009853005409241},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3868553042411804},{"id":"https://openalex.org/C137287247","wikidata":"https://www.wikidata.org/wiki/Q1329550","display_name":"Static program analysis","level":4,"score":0.3742813467979431},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36689960956573486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3449266254901886},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2750603258609772},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.16262751817703247},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.1565265953540802},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650105.3652292","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650105.3652292","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650105.3652292","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 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3650105.3652292","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650105.3652292","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650105.3652292","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 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4604030585","display_name":null,"funder_award_id":"NCAE-C-002-2021","funder_id":"https://openalex.org/F4320311089","funder_display_name":"National Security Agency"},{"id":"https://openalex.org/G5204842600","display_name":null,"funder_award_id":"CNS-2120386","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320311089","display_name":"National Security Agency","ror":"https://ror.org/0047bvr32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399567462.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1970803519","https://openalex.org/W2036700291","https://openalex.org/W2063068372","https://openalex.org/W2155891645","https://openalex.org/W2160468841","https://openalex.org/W2472622445","https://openalex.org/W2888491619","https://openalex.org/W2963846926","https://openalex.org/W2964241064","https://openalex.org/W2966980041","https://openalex.org/W3033180469","https://openalex.org/W3049735680","https://openalex.org/W3101845936","https://openalex.org/W3195442242","https://openalex.org/W4246724267","https://openalex.org/W4284706927","https://openalex.org/W4378513026","https://openalex.org/W4384302804","https://openalex.org/W4389519896"],"related_works":["https://openalex.org/W2344367508","https://openalex.org/W3046227412","https://openalex.org/W2994851798","https://openalex.org/W2575922489","https://openalex.org/W2986478207","https://openalex.org/W4312706861","https://openalex.org/W2098629748","https://openalex.org/W2407460520","https://openalex.org/W4316657699","https://openalex.org/W4401288896"],"abstract_inverted_index":{"Code":[0],"coverage":[1,34,85,129],"serves":[2],"as":[3,26],"a":[4,16,66,77],"crucial":[5],"metric":[6],"to":[7,14,38,82,111,126,147,164,178],"assess":[8],"testing":[9],"effectiveness,":[10],"measuring":[11],"the":[12,23,39,48,89,123,133,160,197],"degree":[13],"which":[15,74],"test":[17],"suite":[18],"exercises":[19],"different":[20],"facets":[21],"of":[22,91,102],"code,":[24],"such":[25],"statements,":[27],"branches,":[28],"or":[29,52],"paths.":[30],"Despite":[31],"its":[32],"significance,":[33],"profilers":[35],"necessitate":[36],"access":[37],"entire":[40],"codebase,":[41],"constraining":[42],"their":[43],"usefulness":[44],"in":[45,71,104,149,153,170,194],"situations":[46],"where":[47],"code":[49,84,93,128,187],"is":[50,54],"incomplete":[51],"execution":[53,106],"not":[55],"feasible,":[56],"and":[57,119,151,166],"even":[58],"cost-prohibitive.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,190],"present":[64],"CodePilot,":[65],"plan-based":[67],"prompting":[68],"approach":[69],"grounded":[70],"program":[72],"semantics,":[73],"collaborates":[75],"with":[76],"Large":[78],"Language":[79],"Model":[80],"(LLM)":[81],"enhance":[83],"prediction.":[86],"To":[87],"address":[88],"intricacies":[90],"predicting":[92,196],"coverage,":[94],"CodePilot":[95,121,141],"employs":[96],"planning":[97],"by":[98],"discerning":[99],"various":[100],"types":[101],"statements":[103],"an":[105],"flow.":[107],"Planning":[108],"empowers":[109],"GPT":[110,124,183],"autonomously":[112],"generate":[113],"plans":[114,181],"based":[115,131],"on":[116,132],"guided":[117],"examples,":[118],"then":[120],"prompts":[122],"model":[125,184],"predict":[127],"(Action)":[130],"plan":[134],"it":[135],"generated":[136],"(Reasoning).":[137],"Our":[138],"experiments":[139],"evaluating":[140],"demonstrate":[142],"high":[143],"accuracy,":[144],"achieving":[145,162],"up":[146,163],"55%":[148],"exact-match":[150],"89%":[152],"statement-match.":[154],"It":[155],"performs":[156],"relatively":[157,168],"better":[158,186],"than":[159],"baselines,":[161],"33%":[165],"19%":[167],"higher":[169],"those":[171],"metrics.":[172],"We":[173],"also":[174],"showed":[175],"that":[176],"due":[177],"highly":[179],"accurate":[180],"(90%),":[182],"predicts":[185],"coverage.":[188],"Moreover,":[189],"show":[191],"CodePilot's":[192],"utility":[193],"correctly":[195],"least":[198],"covered":[199],"statements.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}