{"id":"https://openalex.org/W4407739579","doi":"https://doi.org/10.3233/978-1-61499-779-5-1003","title":"Test Data Generation Based on Hybrid Tabu Annealing Genetic Algorithm","display_name":"Test Data Generation Based on Hybrid Tabu Annealing Genetic Algorithm","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W4407739579","doi":"https://doi.org/10.3233/978-1-61499-779-5-1003"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-779-5-1003","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-779-5-1003","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-779-5-1003","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Luo Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo Fan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050440016","display_name":"Gang Shen","orcid":"https://orcid.org/0000-0002-4787-0324"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen Gang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53482614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9901999831199646,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.7323472499847412},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.7123941779136658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5716771483421326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5004262924194336},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48931071162223816},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.42884179949760437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15657812356948853}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7323472499847412},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.7123941779136658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5716771483421326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5004262924194336},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48931071162223816},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.42884179949760437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15657812356948853},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-779-5-1003","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-779-5-1003","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-779-5-1003","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-779-5-1003","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W173587566","https://openalex.org/W2900012203","https://openalex.org/W2019085397","https://openalex.org/W2509914111","https://openalex.org/W2148102208","https://openalex.org/W2388574609","https://openalex.org/W2026922968","https://openalex.org/W2563889536","https://openalex.org/W2971736757","https://openalex.org/W2092337239"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"investigate":[4],"the":[5,17,25,28,31,39,68,73,84,89,103,106,114],"generation":[6],"of":[7,27,42,76,86,91,105],"path-covered":[8],"test":[9,58,69],"data":[10,59,70],"for":[11],"automated":[12,57],"software":[13,29,32],"testing.":[14],"Testing":[15],"plays":[16],"critical":[18],"role":[19],"in":[20,30,56,88,124],"detecting":[21],"bugs":[22],"and":[23,47,79,121],"ensure":[24],"quality":[26],"development":[33],"lifecycle.":[34],"As":[35],"an":[36],"alternative":[37],"to":[38,66,101],"manual":[40],"testing":[41],"high":[43],"cost,":[44],"low":[45],"efficiency":[46],"poor":[48],"reliability,":[49],"search":[50],"based":[51],"approaches":[52,75],"have":[53],"been":[54],"applied":[55],"generation.":[60],"We":[61,82],"propose":[62],"a":[63],"hybrid":[64],"algorithm":[65,116],"generate":[67],"by":[71],"integrating":[72],"heuristic":[74],"tabu,":[77],"annealing,":[78],"genetic":[80,92],"algorithm.":[81],"discuss":[83],"effects":[85],"parameters":[87],"process":[90],"operations.":[93],"Several":[94],"benchmark":[95],"source":[96],"code":[97],"pieces":[98],"are":[99],"used":[100],"demonstrate":[102],"effectiveness":[104],"proposed":[107,115],"approach.":[108],"The":[109],"experiment":[110],"results":[111],"show":[112],"that":[113],"has":[117],"lower":[118],"time":[119],"complexity":[120],"better":[122],"performance":[123],"convergence":[125],"compared":[126],"with":[127],"other":[128],"existing":[129],"algorithms.":[130]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}