{"id":"https://openalex.org/W3109458504","doi":"https://doi.org/10.1145/3427761.3428343","title":"Salsa: static analysis of serialization features","display_name":"Salsa: static analysis of serialization features","publication_year":2020,"publication_date":"2020-07-23","ids":{"openalex":"https://openalex.org/W3109458504","doi":"https://doi.org/10.1145/3427761.3428343","mag":"3109458504"},"language":"en","primary_location":{"id":"doi:10.1145/3427761.3428343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3427761.3428343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGPLAN International Workshop on Formal Techniques for Java-Like Programs","raw_type":"proceedings-article"},"type":"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/A5043541139","display_name":"Joanna C. S. Santos","orcid":"https://orcid.org/0000-0001-8743-2516"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joanna C. S. Santos","raw_affiliation_strings":["Rochester Institute of Technology, USA"],"raw_orcid":"https://orcid.org/0000-0001-8743-2516","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068480440","display_name":"Reese A. Jones","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reese A. Jones","raw_affiliation_strings":["Rochester Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088410123","display_name":"Mehdi Mirakhorli","orcid":"https://orcid.org/0000-0003-3470-6856"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehdi Mirakhorli","raw_affiliation_strings":["Rochester Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.2785,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68464364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9991000294685364,"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/T11424","display_name":"Security and Verification in Computing","score":0.9987000226974487,"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/serialization","display_name":"Serialization","score":0.9232507944107056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8987559080123901},{"id":"https://openalex.org/keywords/soundness","display_name":"Soundness","score":0.7022284269332886},{"id":"https://openalex.org/keywords/static-analysis","display_name":"Static analysis","score":0.6713211536407471},{"id":"https://openalex.org/keywords/control-flow-graph","display_name":"Control flow graph","score":0.6544861793518066},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.5878041982650757},{"id":"https://openalex.org/keywords/data-flow-analysis","display_name":"Data-flow analysis","score":0.5378431677818298},{"id":"https://openalex.org/keywords/call-graph","display_name":"Call graph","score":0.5359811186790466},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5330069661140442},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.525567889213562},{"id":"https://openalex.org/keywords/program-analysis","display_name":"Program analysis","score":0.48799365758895874},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.45265620946884155},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.44892096519470215},{"id":"https://openalex.org/keywords/program-slicing","display_name":"Program slicing","score":0.4106007218360901},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.328988254070282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3287922739982605},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.3274298906326294},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.28960710763931274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13114312291145325},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10839992761611938}],"concepts":[{"id":"https://openalex.org/C52723943","wikidata":"https://www.wikidata.org/wiki/Q1127410","display_name":"Serialization","level":2,"score":0.9232507944107056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8987559080123901},{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.7022284269332886},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.6713211536407471},{"id":"https://openalex.org/C27458966","wikidata":"https://www.wikidata.org/wiki/Q1187693","display_name":"Control flow graph","level":2,"score":0.6544861793518066},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.5878041982650757},{"id":"https://openalex.org/C88468194","wikidata":"https://www.wikidata.org/wiki/Q1172416","display_name":"Data-flow analysis","level":3,"score":0.5378431677818298},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.5359811186790466},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5330069661140442},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.525567889213562},{"id":"https://openalex.org/C98183937","wikidata":"https://www.wikidata.org/wiki/Q2112188","display_name":"Program analysis","level":2,"score":0.48799365758895874},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.45265620946884155},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.44892096519470215},{"id":"https://openalex.org/C91071405","wikidata":"https://www.wikidata.org/wiki/Q1413145","display_name":"Program slicing","level":3,"score":0.4106007218360901},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.328988254070282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3287922739982605},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.3274298906326294},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.28960710763931274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13114312291145325},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10839992761611938},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3427761.3428343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3427761.3428343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGPLAN International Workshop on Formal Techniques for Java-Like Programs","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W172676560","https://openalex.org/W198969604","https://openalex.org/W814172419","https://openalex.org/W1460196902","https://openalex.org/W1491178396","https://openalex.org/W1557543533","https://openalex.org/W1982205631","https://openalex.org/W2017842497","https://openalex.org/W2017971446","https://openalex.org/W2031525781","https://openalex.org/W2046699259","https://openalex.org/W2051600169","https://openalex.org/W2113238444","https://openalex.org/W2133824159","https://openalex.org/W2135389226","https://openalex.org/W2143874387","https://openalex.org/W2144344516","https://openalex.org/W2152225177","https://openalex.org/W2158591033","https://openalex.org/W2167363133","https://openalex.org/W2171240827","https://openalex.org/W2343325785","https://openalex.org/W2396234346","https://openalex.org/W2481888644","https://openalex.org/W2617348763","https://openalex.org/W2730150466","https://openalex.org/W2884582738","https://openalex.org/W2884704156","https://openalex.org/W2909110209","https://openalex.org/W2914009113","https://openalex.org/W2959352824","https://openalex.org/W2962823786","https://openalex.org/W2965899076","https://openalex.org/W2997903896","https://openalex.org/W3004884024","https://openalex.org/W3033849929","https://openalex.org/W3163546604","https://openalex.org/W4246553962"],"related_works":["https://openalex.org/W3033725878","https://openalex.org/W4230938407","https://openalex.org/W2162436812","https://openalex.org/W2008860182","https://openalex.org/W2148030978","https://openalex.org/W2346217839","https://openalex.org/W2573637329","https://openalex.org/W2034103799","https://openalex.org/W1506870877","https://openalex.org/W2081252502"],"abstract_inverted_index":{"Static":[0],"analysis":[1,63,145],"has":[2,13],"the":[3,39,45,66,156,183],"advantage":[4],"of":[5,19,41,69,103],"reasoning":[6],"over":[7,90],"multiple":[8],"possible":[9],"paths.":[10],"Thus,":[11],"it":[12,57,86],"been":[14],"widely":[15,77],"used":[16,78],"for":[17,136],"verification":[18,23],"program":[20],"properties.":[21],"Property":[22],"often":[24],"requires":[25],"inter-procedural":[26,42],"analysis,":[27],"in":[28,79,122,128,175],"which":[29,48,139],"control":[30],"and":[31,53,64,109,178],"data":[32],"flow":[33],"are":[34,76,114],"tracked":[35],"across":[36],"methods.":[37,55],"At":[38],"core":[40],"analyses":[43],"is":[44,58,153],"call":[46,67,158],"graph,":[47],"establishes":[49],"relationships":[50],"between":[51],"caller":[52],"callee":[54],"However,":[56],"challenging":[59],"to":[60,88,93,141,148,154],"perform":[61],"static":[62],"compute":[65],"graph":[68],"programs":[70],"with":[71,146],"dynamic":[72,104],"features.":[73,95,150],"Dynamic":[74],"features":[75,113],"software":[80],"systems;":[81],"not":[82,116,162],"supporting":[83],"them":[84],"makes":[85],"difficult":[87],"reason":[89],"properties":[91],"related":[92],"these":[94],"Although":[96],"state-of-the-art":[97],"research":[98],"had":[99],"explored":[100],"certain":[101],"types":[102],"features,":[105],"such":[106],"as":[107,120],"reflection":[108],"RMI-based":[110],"programs,":[111],"serialization-related":[112,149],"still":[115],"very":[117],"well":[118],"supported,":[119],"demonstrated":[121],"a":[123],"recent":[124],"empirical":[125],"study.":[126],"Therefore,":[127],"this":[129,168],"paper,":[130,169],"we":[131,170],"introduce":[132],"Salsa":[133,177],"(Static":[134],"AnaLyzer":[135],"SeriAlization":[137],"features),":[138],"aims":[140],"enhance":[142,155],"existing":[143],"points-to":[144],"respect":[147],"The":[151],"goal":[152],"resulting":[157],"graph's":[159],"soundness,":[160],"while":[161],"greatly":[163],"affecting":[164],"its":[165,179],"precision.":[166],"In":[167],"report":[171],"our":[172],"early":[173,180],"effort":[174],"developing":[176],"evaluation":[181],"using":[182],"Java":[184],"Call":[185],"Graph":[186],"Test":[187],"Suite":[188],"(JCG).":[189]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}