{"id":"https://openalex.org/W2069482167","doi":"https://doi.org/10.1145/996821.996836","title":"Importance of heap specialization in pointer analysis","display_name":"Importance of heap specialization in pointer analysis","publication_year":2004,"publication_date":"2004-06-07","ids":{"openalex":"https://openalex.org/W2069482167","doi":"https://doi.org/10.1145/996821.996836","mag":"2069482167"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/996821.996836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060851801","display_name":"Erik Nystr\u00f6m","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik M. Nystrom","raw_affiliation_strings":["University of Illinois Urbana Champaign > > > >"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana Champaign > > > >","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081959378","display_name":"Hong\u2010Seok Kim","orcid":"https://orcid.org/0000-0002-2356-8403"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong-Seok Kim","raw_affiliation_strings":["University of Illinois Urbana Champaign > > > >"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana Champaign > > > >","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040404999","display_name":"Wen\u2010mei Hwu","orcid":"https://orcid.org/0000-0003-2532-5349"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen-mei W. Hwu","raw_affiliation_strings":["University of Illinois Urbana Champaign > > > >"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana Champaign > > > >","institution_ids":["https://openalex.org/I157725225"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.417,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":43,"citation_normalized_percentile":{"value":0.863555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"48"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9988,"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":0.9988,"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/T10126","display_name":"Logic, programming, and type systems","score":0.9965,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9953,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heap","display_name":"Heap (data structure)","score":0.8527504},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.73998415},{"id":"https://openalex.org/keywords/pointer-analysis","display_name":"Pointer analysis","score":0.54730743}],"concepts":[{"id":"https://openalex.org/C134757568","wikidata":"https://www.wikidata.org/wiki/Q274089","display_name":"Heap (data structure)","level":2,"score":0.8527504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75884724},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.73998415},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.65493006},{"id":"https://openalex.org/C7263679","wikidata":"https://www.wikidata.org/wiki/Q5978076","display_name":"Pointer analysis","level":3,"score":0.54730743},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3939138},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34856978},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3469714},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32576603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22614363},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21948272},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.18917418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1870909},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.113906056}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/996821.996836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.56,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W112132368","https://openalex.org/W1579435874","https://openalex.org/W1969610731","https://openalex.org/W1974604404","https://openalex.org/W1996146601","https://openalex.org/W2004420781","https://openalex.org/W2036208810","https://openalex.org/W2046699259","https://openalex.org/W2095115578","https://openalex.org/W2125725994","https://openalex.org/W2131135493","https://openalex.org/W2149237601","https://openalex.org/W2156549049"],"related_works":["https://openalex.org/W3147482974","https://openalex.org/W2999115679","https://openalex.org/W2891057055","https://openalex.org/W2622138879","https://openalex.org/W2553375745","https://openalex.org/W2370320024","https://openalex.org/W2363386825","https://openalex.org/W2188526093","https://openalex.org/W1996094959","https://openalex.org/W1979582240"],"abstract_inverted_index":{"Specialization":[0],"of":[1,30,101,118,149],"heap":[2,18,119],"objects":[3],"is":[4,90],"critical":[5],"for":[6],"pointer":[7],"analysis":[8,126],"to":[9,22,26,49],"effectively":[10],"analyze":[11],"complex":[12],"memory":[13],"activity.":[14],"This":[15],"paper":[16],"discusses":[17],"specialization":[19,35,44,68,120],"with":[20],"respect":[21],"call":[23,32],"chains.":[24],"Due":[25],"the":[27,40,98,116,135,139,147],"sheer":[28],"number":[29],"distinct":[31],"chains,":[33],"exhaustive":[34],"can":[36,45,76],"be":[37,70,77],"cumbersome.":[38],"On":[39],"other":[41],"hand,":[42],"insufficient":[43],"miss":[46],"valuable":[47],"opportunities":[48],"prevent":[50],"spurious":[51],"data":[52],"flow,":[53],"which":[54],"results":[55,127],"in":[56,146],"not":[57,93],"only":[58],"reduced":[59],"accuracy":[60],"but":[61,92],"also":[62],"increased":[63],"overhead.In":[64],"determining":[65],"whether":[66],"further":[67],"will":[69],"fruitful,":[71],"an":[72],"object's":[73],"escape":[74,88],"information":[75,89],"exploited.":[78],"From":[79],"empirical":[80],"study,":[81,105],"we":[82,114,137],"found":[83],"that":[84],"restriction":[85],"based":[86],"on":[87,125],"often,":[91],"always,":[94],"sufficient":[95],"at":[96],"prohibiting":[97],"explosive":[99],"nature":[100],"specialization.For":[102],"in-depth":[103],"case":[104],"four":[106],"representative":[107],"benchmarks":[108],"are":[109],"selected.":[110],"For":[111],"each":[112],"benchmark,":[113],"vary":[115],"degree":[117],"and":[121,128,142],"examine":[122],"its":[123],"impact":[124],"time.":[129],"To":[130],"provide":[131],"better":[132],"visibility":[133],"into":[134],"impact,":[136],"present":[138],"points-to":[140],"set":[141,144],"pointed-to-by":[143],"sizes":[145],"form":[148],"histograms.":[150]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2069482167","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6}],"updated_date":"2024-12-16T11:15:46.228771","created_date":"2016-06-24"}