{"id":"https://openalex.org/W1601834268","doi":"https://doi.org/10.1109/apsec.1997.640195","title":"Compacting regression-suites on-the-fly","display_name":"Compacting regression-suites on-the-fly","publication_year":2002,"publication_date":"2002-11-22","ids":{"openalex":"https://openalex.org/W1601834268","doi":"https://doi.org/10.1109/apsec.1997.640195","mag":"1601834268"},"language":"en","primary_location":{"id":"doi:10.1109/apsec.1997.640195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsec.1997.640195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Joint 4th International Computer Science Conference and 4th Asia Pacific Software Engineering Conference","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/A5089144342","display_name":"Eliav Buchnik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165146","display_name":"Applied Materials (Germany)","ror":"https://ror.org/05ejpyv46","country_code":"DE","type":"company","lineage":["https://openalex.org/I193427800","https://openalex.org/I4210165146"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"E. Buchnik","raw_affiliation_strings":["Applied Materials, Inc"],"affiliations":[{"raw_affiliation_string":"Applied Materials, Inc","institution_ids":["https://openalex.org/I4210165146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112810878","display_name":"Shmuel Ur","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"S. Ur","raw_affiliation_strings":["IBM Haifa Research Laboratory, Israel"],"affiliations":[{"raw_affiliation_string":"IBM Haifa Research Laboratory, Israel","institution_ids":["https://openalex.org/I4210167297"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089144342"],"corresponding_institution_ids":["https://openalex.org/I4210165146"],"apc_list":null,"apc_paid":null,"fwci":1.5915,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81022409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1084","issue":null,"first_page":"385","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":1.0,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.992900013923645,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9926000237464905,"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/ibm","display_name":"IBM","score":0.7281846404075623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6902962923049927},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.625901997089386},{"id":"https://openalex.org/keywords/regression-testing","display_name":"Regression testing","score":0.6153237819671631},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5998988151550293},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.592849612236023},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5881320834159851},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5659328103065491},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4693124294281006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4272417426109314},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41273033618927},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.36165401339530945},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.33927011489868164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2541794180870056},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.21830803155899048},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.17756101489067078},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16243544220924377},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12541460990905762},{"id":"https://openalex.org/keywords/software-system","display_name":"Software system","score":0.09628835320472717}],"concepts":[{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.7281846404075623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902962923049927},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.625901997089386},{"id":"https://openalex.org/C161821725","wikidata":"https://www.wikidata.org/wiki/Q917415","display_name":"Regression testing","level":5,"score":0.6153237819671631},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5998988151550293},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.592849612236023},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5881320834159851},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5659328103065491},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4693124294281006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4272417426109314},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41273033618927},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.36165401339530945},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.33927011489868164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2541794180870056},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.21830803155899048},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.17756101489067078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16243544220924377},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12541460990905762},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.09628835320472717},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsec.1997.640195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsec.1997.640195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Joint 4th International Computer Science Conference and 4th Asia Pacific Software Engineering Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.11.5031","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.5031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.ibm.com/pics/verification/ps/isyse97.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1489062326","https://openalex.org/W1513977746","https://openalex.org/W1572977974","https://openalex.org/W1573881838","https://openalex.org/W1890663346","https://openalex.org/W1969665089","https://openalex.org/W1977723771","https://openalex.org/W2011039300","https://openalex.org/W2020538887","https://openalex.org/W2076146651","https://openalex.org/W2088188524","https://openalex.org/W2107995582","https://openalex.org/W2123586642","https://openalex.org/W2143996311","https://openalex.org/W2610798843","https://openalex.org/W2752885492","https://openalex.org/W3022367466"],"related_works":["https://openalex.org/W1485837041","https://openalex.org/W2388956185","https://openalex.org/W2023403851","https://openalex.org/W2538766212","https://openalex.org/W2028796071","https://openalex.org/W2054959879","https://openalex.org/W1872525383","https://openalex.org/W2523059173","https://openalex.org/W1560297719","https://openalex.org/W2588043699"],"abstract_inverted_index":{"Testing":[0],"is":[1,12,40,62,109,156],"one":[2,97],"of":[3,7,37,117,139,144],"the":[4,8,13,19,43,64,96,100,106,114,131,137,140,142,145,149],"biggest":[5],"problems":[6],"software":[9],"industry.":[10],"Coverage":[11,24],"main":[14],"technique":[15],"for":[16,123],"showing":[17],"that":[18,39,54,154],"testing":[20],"has":[21,102],"been":[22],"thorough.":[23],"can":[25],"be":[26],"used":[27],"to":[28,52,95,113,158],"find":[29],"a":[30,35,103,166],"good":[31],"regression":[32,75],"suite,":[33],"i.e.":[34],"set":[36],"tests":[38,118,161],"run":[41],"on":[42],"application":[44],"after":[45],"sofware":[46],"or":[47],"data":[48],"changes":[49],"in":[50,67,73,87,99],"order":[51],"check":[53],"no":[55],"new":[56],"bugs":[57],"were":[58],"introduced.":[59],"This":[60],"paper":[61],"about":[63],"experience":[65],"gained":[66],"IBM":[68],"Haifa":[69],"Research":[70],"Lab":[71],"(HRL)":[72],"creating":[74],"suites":[76],"and":[77,148],"minimizing":[78],"their":[79],"size,":[80],"while":[81,93],"maintaining":[82],"high":[83],"quality":[84,133],"as":[85],"measured":[86],"coverage.":[88],"The":[89,127],"problem":[90],"we":[91],"solve,":[92],"similar":[94],"addressed":[98],"literature,":[101],"key":[104],"difference;":[105],"compaction":[107],"algorithm":[108],"implemented":[110],"online":[111,125],"due":[112],"large":[115],"number":[116],"processed.":[119],"We":[120,152],"compare":[121],"strategies":[122],"implementing":[124],"set-cover.":[126],"trade-offs":[128],"are":[129],"between":[130],"solution":[132],"(as":[134],"expressed":[135],"by":[136],"size":[138,143],"cover),":[141],"intermediate":[146],"sets":[147],"computational":[150],"resources.":[151],"show":[153],"it":[155],"possible":[157],"start":[159],"discarding":[160],"very":[162],"early":[163],"without":[164],"getting":[165],"significantly":[167],"larger":[168],"final":[169],"set.":[170]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
