{"id":"https://openalex.org/W4383898419","doi":"https://doi.org/10.1109/icse-seip58684.2023.00034","title":"Long-term Static Analysis Rule Quality Monitoring Using True Negatives","display_name":"Long-term Static Analysis Rule Quality Monitoring Using True Negatives","publication_year":2023,"publication_date":"2023-05-01","ids":{"openalex":"https://openalex.org/W4383898419","doi":"https://doi.org/10.1109/icse-seip58684.2023.00034"},"language":"en","primary_location":{"id":"doi:10.1109/icse-seip58684.2023.00034","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icse-seip58684.2023.00034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)","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/A5022152776","display_name":"Linghui Luo","orcid":"https://orcid.org/0000-0003-2054-0373"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Linghui Luo","raw_affiliation_strings":["Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"Amazon Web Services","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659200","display_name":"Rajdeep Mukherjee","orcid":"https://orcid.org/0000-0002-2267-1695"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajdeep Mukherjee","raw_affiliation_strings":["Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"Amazon Web Services","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056497737","display_name":"Omer Tripp","orcid":"https://orcid.org/0000-0002-2393-854X"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omer Tripp","raw_affiliation_strings":["Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"Amazon Web Services","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005632259","display_name":"Martin Sch\u00e4f","orcid":"https://orcid.org/0000-0002-6804-0178"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Sch\u00e4f","raw_affiliation_strings":["Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"Amazon Web Services","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025977354","display_name":"Qiang Zhou","orcid":"https://orcid.org/0000-0001-7099-1995"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Zhou","raw_affiliation_strings":["Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"Amazon Web Services","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015592393","display_name":"Daniel Sanchez","orcid":"https://orcid.org/0000-0003-2461-6574"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Sanchez","raw_affiliation_strings":["Amazon Alexa"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022152776"],"corresponding_institution_ids":["https://openalex.org/I1311688040"],"apc_list":null,"apc_paid":null,"fwci":1.8356,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88103613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"222","issue":null,"first_page":"315","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.793785810470581},{"id":"https://openalex.org/keywords/static-analysis","display_name":"Static analysis","score":0.6954521536827087},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6051009893417358},{"id":"https://openalex.org/keywords/static-program-analysis","display_name":"Static program analysis","score":0.6045370697975159},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5970348715782166},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5549290776252747},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5423222184181213},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.5282151699066162},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.517853319644928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4981958866119385},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.46640434861183167},{"id":"https://openalex.org/keywords/code-smell","display_name":"Code smell","score":0.43575942516326904},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.4133101999759674},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.366405725479126},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.3556557893753052},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3355175256729126},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.23343250155448914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21772632002830505},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14010286331176758},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10981786251068115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793785810470581},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.6954521536827087},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6051009893417358},{"id":"https://openalex.org/C137287247","wikidata":"https://www.wikidata.org/wiki/Q1329550","display_name":"Static program analysis","level":4,"score":0.6045370697975159},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5970348715782166},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5549290776252747},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5423222184181213},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.5282151699066162},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.517853319644928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4981958866119385},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.46640434861183167},{"id":"https://openalex.org/C133237599","wikidata":"https://www.wikidata.org/wiki/Q2295111","display_name":"Code smell","level":5,"score":0.43575942516326904},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.4133101999759674},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.366405725479126},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3556557893753052},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3355175256729126},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.23343250155448914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21772632002830505},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14010286331176758},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10981786251068115},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icse-seip58684.2023.00034","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icse-seip58684.2023.00034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)","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":18,"referenced_works":["https://openalex.org/W2008626182","https://openalex.org/W2053465247","https://openalex.org/W2121898351","https://openalex.org/W2149598089","https://openalex.org/W2514084604","https://openalex.org/W2784876765","https://openalex.org/W2792425537","https://openalex.org/W2896457183","https://openalex.org/W2899324569","https://openalex.org/W2901387825","https://openalex.org/W2964232059","https://openalex.org/W3186977283","https://openalex.org/W4237506321","https://openalex.org/W4254666025","https://openalex.org/W4280492061","https://openalex.org/W6666658015","https://openalex.org/W6755207826","https://openalex.org/W6838487867"],"related_works":["https://openalex.org/W4388483122","https://openalex.org/W4387126921","https://openalex.org/W3030592833","https://openalex.org/W2354385412","https://openalex.org/W2032897247","https://openalex.org/W4297908618","https://openalex.org/W4245904369","https://openalex.org/W2985048382","https://openalex.org/W2765641823","https://openalex.org/W4386447154"],"abstract_inverted_index":{"Static":[0],"application":[1],"security":[2],"testing":[3],"(SAST)":[4],"tools":[5,16],"have":[6],"found":[7],"broad":[8],"adoption":[9],"in":[10,58,151,174],"modern":[11],"software":[12],"development":[13],"work-flows.":[14],"These":[15],"employ":[17],"a":[18,65,125,131,152,193,199],"variety":[19],"of":[20,33,40,77,114],"static":[21,126,132],"analysis":[22,127,133],"rules":[23,56,81,96],"to":[24,29,51,100,117,123,135,165,192],"generate":[25],"recommendations":[26,78,140],"on":[27,106],"how":[28,53,179],"improve":[30],"the":[31,38,41,59,75,112,149,156,162,175],"code":[32,166,187],"an":[34,107],"application.Every":[35],"recommendation":[36],"consumes":[37],"time":[39],"engineer":[42],"that":[43,97,154,185,189,212,218],"is":[44,49,64,89],"investigating":[45],"it,":[46],"so":[47],"it":[48,94],"important":[50],"measure":[52,178],"useful":[54],"these":[55],"are":[57,98,121,141,190],"long":[60],"term.":[61],"But":[62],"what":[63],"good":[66],"metric":[67],"for":[68],"monitoring":[69],"rule":[70,134,163,194],"quality":[71,167],"over":[72],"time?":[73],"Counting":[74],"number":[76],"rewards":[79],"noisy":[80],"and":[82,201],"ignores":[83],"developers\u2019":[84],"reactions.":[85],"Measuring":[86],"fix":[87,226],"rate":[88,205,227],"not":[90,142,168,197],"ideal":[91,137],"either,":[92],"because":[93],"over-emphasizes":[95],"easy":[99],"fix.In":[101],"this":[102],"paper,":[103],"we":[104,110,202],"report":[105],"experiment":[108],"where":[109],"use":[111],"frequency":[113],"true":[115,183,214],"negatives":[116,215],"quantify":[118],"if":[119,138],"developers":[120,181],"able":[122],"learn":[124],"rule.":[128],"We":[129,177],"consider":[130],"be":[136,220],"its":[139],"only":[143,169],"addressed,":[144],"but":[145,172,195],"also":[146,173],"internalized":[147],"by":[148,222],"developer":[150,229],"way":[153],"prevents":[155],"bug":[157],"from":[158],"recurring.":[159],"That":[160],"is,":[161,186],"contributes":[164],"at":[170],"present,":[171],"future.":[176],"often":[180],"produce":[182],"negatives,":[184],"changes":[188],"relevant":[191],"do":[196],"trigger":[198],"recommendation,":[200],"compare":[203],"true-negative":[204],"against":[206],"other":[207],"metrics.":[208],"Our":[209],"results":[210],"show":[211],"measuring":[213],"provides":[216],"insights":[217],"cannot":[219],"provided":[221],"metrics":[223],"such":[224],"as":[225],"or":[228],"feedback.":[230]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
