{"id":"https://openalex.org/W7130599237","doi":"https://doi.org/10.1109/fllm67465.2025.11391141","title":"A Predictive Model for Software Degradation Using Deep Learning: A Time-Series Approach to Reliability Analysis","display_name":"A Predictive Model for Software Degradation Using Deep Learning: A Time-Series Approach to Reliability Analysis","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7130599237","doi":"https://doi.org/10.1109/fllm67465.2025.11391141"},"language":null,"primary_location":{"id":"doi:10.1109/fllm67465.2025.11391141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11391141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","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/A5061713871","display_name":"Ahmad A. Saifan","orcid":"https://orcid.org/0000-0002-4974-8939"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Ahmad A. Saifan","raw_affiliation_strings":["Yarmouk University,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126419868","display_name":"Dana A L-Azzam","orcid":null},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Dana A L-Azzam","raw_affiliation_strings":["Yarmouk University,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126395083","display_name":"Moy\u2019Awiah Al-Shannaq","orcid":null},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Moy\u2019Awiah Al-Shannaq","raw_affiliation_strings":["Yarmouk University,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126434661","display_name":"Ali Al-Yousef","orcid":null},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ali Al-Yousef","raw_affiliation_strings":["Yarmouk University,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072238346","display_name":"Rami Mohawesh","orcid":"https://orcid.org/0000-0002-9332-3487"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Rami Mohawesh","raw_affiliation_strings":["Yarmouk University,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126363089","display_name":"Mohannad Alkhalaileh","orcid":null},"institutions":[{"id":"https://openalex.org/I161913731","display_name":"Al Ain University","ror":"https://ror.org/023abrt21","country_code":"AE","type":"education","lineage":["https://openalex.org/I161913731"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohannad Alkhalaileh","raw_affiliation_strings":["Al Ain University,Al Ain,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Al Ain University,Al Ain,UAE","institution_ids":["https://openalex.org/I161913731"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061713871"],"corresponding_institution_ids":["https://openalex.org/I85507684"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.753781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"553","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9531999826431274,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9531999826431274,"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/T10260","display_name":"Software Engineering Research","score":0.009399999864399433,"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/T12127","display_name":"Software System Performance and Reliability","score":0.008700000122189522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.6323999762535095},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5874999761581421},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.492900013923645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4846000075340271},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4708999991416931},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42719998955726624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146000266075134},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.6323999762535095},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.6037999987602234},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5874999761581421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49959999322891235},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4846000075340271},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4708999991416931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45890000462532043},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C52928878","wikidata":"https://www.wikidata.org/wiki/Q7554226","display_name":"Software reliability testing","level":5,"score":0.29899999499320984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2720000147819519}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fllm67465.2025.11391141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11391141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","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":17,"referenced_works":["https://openalex.org/W1614300759","https://openalex.org/W1647188876","https://openalex.org/W2760957220","https://openalex.org/W2764255330","https://openalex.org/W2765317460","https://openalex.org/W2766648796","https://openalex.org/W2987383011","https://openalex.org/W3087492565","https://openalex.org/W3206525735","https://openalex.org/W4200434319","https://openalex.org/W4230230176","https://openalex.org/W4297882578","https://openalex.org/W4328052349","https://openalex.org/W4360584289","https://openalex.org/W4361215574","https://openalex.org/W4390906528","https://openalex.org/W4404480399"],"related_works":[],"abstract_inverted_index":{"Software":[0,128],"systems":[1],"are":[2],"constantly":[3],"evolving,":[4],"and":[5,53,58,78,88,106,119,131],"as":[6],"a":[7,26,39,73,79,91],"result,":[8],"different":[9,50,61],"quality":[10],"requirements":[11],"vary":[12],"over":[13],"time,":[14],"which":[15],"impacts":[16],"their":[17],"reliability.":[18,127],"Using":[19],"sequential":[20],"data":[21],"modeling,":[22],"this":[23],"study":[24],"presents":[25],"deep":[27,62],"learning":[28,63],"strategy":[29],"to":[30,48],"forecasting":[31],"when":[32],"software":[33,126],"reliability":[34,133],"might":[35,120],"diminish.":[36],"After":[37],"transforming":[38],"time-series":[40],"dataset":[41],"into":[42],"structured":[43],"sequences,":[44],"it":[45],"was":[46],"used":[47],"combine":[49],"coding,":[51],"performance,":[52],"evolutionary":[54],"qualities.":[55],"We":[56],"developed":[57],"evaluated":[59,89],"three":[60],"architectures:":[64],"an":[65],"RNN":[66,112],"hybrid":[67],"with":[68,113],"Long":[69],"Short-Term":[70],"Memory":[71],"(LSTM),":[72],"model":[74],"based":[75],"on":[76,90],"Transformers,":[77],"Temporal":[80],"Convolutional":[81],"Network":[82],"(TCN).":[83],"The":[84],"models":[85],"were":[86,97],"trained":[87],"balanced":[92],"dataset.":[93],"Measures":[94],"of":[95],"performance":[96],"assessed":[98],"using":[99],"classification":[100],"algorithms,":[101],"including":[102],"F1-score,":[103],"recall,":[104],"accuracy,":[105],"precision.":[107],"Findings":[108],"indicated":[109],"that":[110],"Hybrid":[111],"LSTM":[114],"performed":[115],"significantly":[116],"better":[117],"overall":[118],"be":[121],"useful":[122],"for":[123],"continuously":[124],"monitoring":[125],"maintenance":[129],"scheduling":[130],"proactive":[132],"assessments":[134],"can":[135],"both":[136],"benefit":[137],"greatly":[138],"from":[139],"the":[140],"proposed":[141],"method.":[142]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-02-20T00:00:00"}