{"id":"https://openalex.org/W4403160377","doi":"https://doi.org/10.48550/arxiv.2409.02693","title":"The Role of Artificial Intelligence and Machine Learning in Software Testing","display_name":"The Role of Artificial Intelligence and Machine Learning in Software Testing","publication_year":2024,"publication_date":"2024-09-04","ids":{"openalex":"https://openalex.org/W4403160377","doi":"https://doi.org/10.48550/arxiv.2409.02693"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.02693","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.02693","pdf_url":"https://arxiv.org/pdf/2409.02693","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.02693","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101678582","display_name":"A.A. Ramadan","orcid":"https://orcid.org/0000-0002-3801-5318"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ramadan, Ahmed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111354828","display_name":"Husam Yasin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasin, Husam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058907419","display_name":"Burhan Pekta\u015f","orcid":"https://orcid.org/0000-0001-9909-370X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pektas, Burhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101678582"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.761900007724762,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.761900007724762,"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/T12127","display_name":"Software System Performance and Reliability","score":0.6769000291824341,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6182000041007996,"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":0.5244336724281311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.516980767250061},{"id":"https://openalex.org/keywords/software-testing","display_name":"Software testing","score":0.4894227087497711},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.38006168603897095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3219546675682068},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08186092972755432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5244336724281311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516980767250061},{"id":"https://openalex.org/C2984328558","wikidata":"https://www.wikidata.org/wiki/Q188522","display_name":"Software testing","level":3,"score":0.4894227087497711},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.38006168603897095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3219546675682068},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08186092972755432}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.02693","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.02693","pdf_url":"https://arxiv.org/pdf/2409.02693","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.02693","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.02693","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.02693","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.02693","pdf_url":"https://arxiv.org/pdf/2409.02693","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403160377.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"and":[3,29,51,60,65,71,87,98,122,130,140,152,154,178,187,216,223,236,248],"Machine":[4],"Learning":[5],"(ML)":[6],"have":[7],"significantly":[8],"impacted":[9],"various":[10,190],"industries,":[11],"including":[12],"software":[13,22,32,35,74,143,182,239,250],"development.":[14],"Software":[15],"testing,":[16,183,240],"a":[17,39,170],"crucial":[18],"part":[19],"of":[20,31,49,73,102,116,138,163,173,194,200,234],"the":[21,27,47,69,93,100,136,160,174,198],"development":[23],"lifecycle":[24],"(SDLC),":[25],"ensures":[26],"quality":[28,109],"reliability":[30],"products.":[33],"Traditionally,":[34],"testing":[36,75,97,144,203,245],"has":[37,53],"been":[38],"labor-intensive":[40],"process":[41],"requiring":[42],"significant":[43,242],"manual":[44],"effort.":[45],"However,":[46],"advent":[48],"AI":[50,64,111,139,177,235],"ML":[52,66,141,179,237],"transformed":[54],"this":[55,229],"landscape":[56],"by":[57,76,118,145],"introducing":[58],"automation":[59],"intelligent":[61],"decision-making":[62],"capabilities.":[63],"technologies":[67,91],"enhance":[68],"efficiency":[70],"effectiveness":[72],"automating":[77],"complex":[78],"tasks":[79],"such":[80,205],"as":[81,206],"test":[82,85],"case":[83,156],"generation,":[84],"execution,":[86],"result":[88],"analysis.":[89],"These":[90],"reduce":[92],"time":[94],"required":[95],"for":[96,127],"improve":[99],"accuracy":[101],"defect":[103],"detection,":[104],"ultimately":[105],"leading":[106],"to":[107],"higher":[108],"software.":[110],"can":[112],"predict":[113],"potential":[114],"areas":[115],"failure":[117],"analyzing":[119,149],"historical":[120],"data":[121],"identifying":[123],"patterns,":[124],"which":[125],"allows":[126],"more":[128],"targeted":[129],"efficient":[131],"testing.":[132],"This":[133],"paper":[134,230],"explores":[135],"role":[137],"in":[142,176,181,228,238,244],"reviewing":[146],"existing":[147],"literature,":[148],"current":[150,195],"tools":[151,196,204],"techniques,":[153],"presenting":[155],"studies":[157,226],"that":[158],"demonstrate":[159],"practical":[161],"benefits":[162],"these":[164],"technologies.":[165],"The":[166,192],"literature":[167],"review":[168],"provides":[169],"comprehensive":[171],"overview":[172],"advancements":[175],"applications":[180,233],"highlighting":[184],"key":[185],"methodologies":[186],"findings":[188],"from":[189],"studies.":[191],"analysis":[193],"showcases":[197],"capabilities":[199],"popular":[201],"AI-driven":[202],"Eggplant":[207],"AI,":[208],"Test.ai,":[209],"Selenium,":[210],"Appvance,":[211],"Applitools":[212],"Eyes,":[213],"Katalon":[214],"Studio,":[215],"Tricentis":[217],"Tosca,":[218],"each":[219],"offering":[220],"unique":[221],"features":[222],"advantages.":[224],"Case":[225],"included":[227],"illustrate":[231],"real-world":[232],"showing":[241],"improvements":[243],"efficiency,":[246],"accuracy,":[247],"overall":[249],"quality.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2024-10-06T00:00:00"}