{"id":"https://openalex.org/W4412703856","doi":"https://doi.org/10.1145/3696630.3728516","title":"Predictive Prompt Analysis","display_name":"Predictive Prompt Analysis","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4412703856","doi":"https://doi.org/10.1145/3696630.3728516"},"language":"en","primary_location":{"id":"doi:10.1145/3696630.3728516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728516","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728516","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103432018","display_name":"Jae Yong Lee Jae Yong Lee","orcid":"https://orcid.org/0009-0001-0752-3264"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Yong Lee","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0001-0752-3264","affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101607518","display_name":"Sungmin Kang","orcid":"https://orcid.org/0000-0002-0298-5320"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sungmin Kang","raw_affiliation_strings":["National University of Singapore, Queenstown, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0298-5320","affiliations":[{"raw_affiliation_string":"National University of Singapore, Queenstown, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070401254","display_name":"Shin Yoo","orcid":"https://orcid.org/0000-0002-0836-6993"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shin Yoo","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-0836-6993","affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.12907545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"646","last_page":"650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9952999949455261,"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/T10028","display_name":"Topic Modeling","score":0.9952999949455261,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9825999736785889,"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":0.5320029854774475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320029854774475}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696630.3728516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728516","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","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:10.1145/3696630.3728516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728516","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","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":[],"awards":[{"id":"https://openalex.org/G1859597740","display_name":null,"funder_award_id":"RS-2021-NR060080","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G967999616","display_name":null,"funder_award_id":"RS-2023-00208998","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412703856.pdf","grobid_xml":"https://content.openalex.org/works/W4412703856.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2914304175","https://openalex.org/W3185341429","https://openalex.org/W4247236552","https://openalex.org/W4402665833","https://openalex.org/W4404783416"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"are":[4,27,190],"machine":[5],"learning":[6],"models":[7],"that":[8],"have":[9],"seen":[10],"widespread":[11],"adoption":[12],"due":[13,23],"to":[14,24,29,50,80,105,108,154,181,209],"their":[15,25],"capability":[16],"of":[17,63,95,118,164,176,214],"handling":[18],"previously":[19],"difficult":[20,49],"tasks.":[21],"LLMs,":[22],"training,":[26],"sensitive":[28],"how":[30,100,140],"exactly":[31],"a":[32,92,96,109,116,127,186],"question":[33],"is":[34,43,58],"presented,":[35],"also":[36],"known":[37],"as":[38,45],"prompting.":[39],"However,":[40],"prompting":[41,54],"well":[42],"challenging,":[44],"it":[46,76,179],"has":[47,206],"been":[48],"uncover":[51],"principles":[52],"behind":[53],"\u2014":[55],"generally,":[56],"trial-and-error":[57],"the":[59,101,113,119,159,165,169,177,183,207,212],"most":[60],"common":[61],"way":[62],"improving":[64],"prompts,":[65],"despite":[66],"its":[67],"significant":[68],"computational":[69],"cost.":[70],"In":[71],"this":[72],"context,":[73],"we":[74,121],"argue":[75],"would":[77,90,103,144],"be":[78],"useful":[79],"perform":[81,91],"'predictive":[82],"prompt":[83,97,129,203],"analysis',":[84],"in":[85],"which":[86],"an":[87,142],"automated":[88],"technique":[89],"quick":[93],"analysis":[94,130,204],"and":[98,161,194,219],"predict":[99],"LLM":[102,143,184],"react":[104],"it,":[106],"relative":[107],"goal":[110],"provided":[111],"by":[112],"user.":[114],"As":[115,188],"demonstration":[117],"concept,":[120],"present":[122],"Syntactic":[123],"Prevalence":[124],"Analyzer":[125],"(SPA),":[126],"predictive":[128,202],"approach":[131],"based":[132],"on":[133,185],"sparse":[134],"autoencoders":[135],"(SAEs).":[136],"SPA":[137,172],"accurately":[138],"predicted":[139,160],"often":[141],"generate":[145],"target":[146,166],"syntactic":[147],"structures":[148],"during":[149,193],"code":[150],"synthesis,":[151],"with":[152],"up":[153],"0.994":[155],"Pearson":[156],"correlation":[157],"between":[158],"actual":[162],"prevalence":[163],"structure.":[167],"At":[168],"same":[170],"time,":[171],"requires":[173],"only":[174],"0.4%":[175],"time":[178],"takes":[180],"run":[182],"benchmark.":[187],"LLMs":[189,215],"increasingly":[191],"used":[192],"integrated":[195],"into":[196],"modern":[197],"software":[198],"development,":[199],"our":[200],"proposed":[201],"concept":[205],"potential":[208],"significantly":[210],"ease":[211],"use":[213],"for":[216],"both":[217],"practitioners":[218],"researchers.":[220]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}