{"id":"https://openalex.org/W4311415706","doi":"https://doi.org/10.1109/ict4da56482.2022.9971369","title":"Selection of Architectural Patterns based on Tactics","display_name":"Selection of Architectural Patterns based on Tactics","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4311415706","doi":"https://doi.org/10.1109/ict4da56482.2022.9971369"},"language":"en","primary_location":{"id":"doi:10.1109/ict4da56482.2022.9971369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict4da56482.2022.9971369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036801430","display_name":"Mebratu Aychew","orcid":null},"institutions":[{"id":"https://openalex.org/I57092466","display_name":"Bahir Dar University","ror":"https://ror.org/01670bg46","country_code":"ET","type":"education","lineage":["https://openalex.org/I57092466"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Mebratu Aychew","raw_affiliation_strings":["Bahir Dar University,Faculty of Computing, Bahir Dar Institute of Technology,Bahir Dar,Ethiopia","Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bahir Dar University,Faculty of Computing, Bahir Dar Institute of Technology,Bahir Dar,Ethiopia","institution_ids":["https://openalex.org/I57092466"]},{"raw_affiliation_string":"Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia","institution_ids":["https://openalex.org/I57092466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079210242","display_name":"Esubalew Alemneh","orcid":"https://orcid.org/0000-0002-1970-3537"},"institutions":[{"id":"https://openalex.org/I57092466","display_name":"Bahir Dar University","ror":"https://ror.org/01670bg46","country_code":"ET","type":"education","lineage":["https://openalex.org/I57092466"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Esubalew Alemneh","raw_affiliation_strings":["Bahir Dar University,ICT4D Research Center, Bahir Dar Institute of Technology,Bahir Dar,Ethiopia","ICT4D Research Center, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bahir Dar University,ICT4D Research Center, Bahir Dar Institute of Technology,Bahir Dar,Ethiopia","institution_ids":["https://openalex.org/I57092466"]},{"raw_affiliation_string":"ICT4D Research Center, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia","institution_ids":["https://openalex.org/I57092466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57092466"],"apc_list":null,"apc_paid":null,"fwci":0.5025,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63882221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9990000128746033,"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":0.9990000128746033,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.9937000274658203,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.8035397529602051},{"id":"https://openalex.org/keywords/architectural-pattern","display_name":"Architectural pattern","score":0.6758452653884888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811424255371094},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5293315649032593},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5013046264648438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48664483428001404},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4525446593761444},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4517032206058502},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4516890347003937},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.45115625858306885},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.43262583017349243},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4254947304725647},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4198864996433258},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.36724168062210083},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.36241415143013},{"id":"https://openalex.org/keywords/software-design","display_name":"Software design","score":0.25949564576148987},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13723397254943848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8035397529602051},{"id":"https://openalex.org/C72280835","wikidata":"https://www.wikidata.org/wiki/Q635346","display_name":"Architectural pattern","level":5,"score":0.6758452653884888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811424255371094},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5293315649032593},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5013046264648438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48664483428001404},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4525446593761444},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4517032206058502},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4516890347003937},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.45115625858306885},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.43262583017349243},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4254947304725647},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4198864996433258},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.36724168062210083},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.36241415143013},{"id":"https://openalex.org/C52913732","wikidata":"https://www.wikidata.org/wiki/Q857102","display_name":"Software design","level":4,"score":0.25949564576148987},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13723397254943848},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict4da56482.2022.9971369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict4da56482.2022.9971369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1520488415","https://openalex.org/W1800478330","https://openalex.org/W1891279520","https://openalex.org/W2072018703","https://openalex.org/W2104949399","https://openalex.org/W2135977696","https://openalex.org/W2146503525","https://openalex.org/W2150043014","https://openalex.org/W2163391603","https://openalex.org/W2183673572","https://openalex.org/W2188357513","https://openalex.org/W2266780189","https://openalex.org/W2267993414","https://openalex.org/W2287577877","https://openalex.org/W2783056201","https://openalex.org/W2963929932","https://openalex.org/W4244529562","https://openalex.org/W4251641598","https://openalex.org/W4254390275","https://openalex.org/W4383560187","https://openalex.org/W4400134761","https://openalex.org/W6692731351","https://openalex.org/W6693213836","https://openalex.org/W6747689398","https://openalex.org/W6833758557"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W4320058722","https://openalex.org/W4200051975","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904"],"abstract_inverted_index":{"Software":[0],"development":[1],"has":[2],"several":[3],"stages":[4],"to":[5,13,49,61,85,113,145,176,182,269],"be":[6],"followed":[7],"by":[8],"developers,":[9],"starting":[10],"from":[11,253],"planning":[12],"deployment":[14],"and":[15,38,82,139,171,201,256],"maintenance.":[16],"From":[17,277],"those":[18],"stages,":[19],"the":[20,43,46,56,86,95,98,102,114,162,178,227,230,242,250,254,257,291],"design":[21,50],"phase,":[22],"which":[23],"produces":[24],"blueprint":[25],"of":[26,45,88,97,121,161,214,233,244,287],"a":[27,36,51,109,130,238],"system,":[28],"needs":[29],"an":[30,63,68,245],"expert":[31],"work":[32],"since":[33,222],"it":[34,223],"is":[35],"creative":[37],"difficult":[39],"stage":[40],"that":[41,54,116,132],"determines":[42],"behavior":[44],"software.":[47],"Hence,":[48],"good":[52],"architecture":[53],"exhibits":[55],"desired":[57],"behaviors,":[58],"we":[59,127,188,209,236,263,281],"need":[60],"select":[62],"appropriate":[64],"architectural":[65,69,122,147,246,288],"pattern.":[66,148],"Selecting":[67],"pattern":[70,100,247,289],"for":[71,101,159,186,241,290],"software":[72,138],"depends":[73],"on":[74,249],"features":[75,90],"like":[76],"Quality":[77],"Attributes":[78],"(QA),":[79],"functional":[80],"requirements,":[81],"constraints.":[83],"Due":[84],"discrepancy":[87],"selection":[89,96,110],"architects":[91],"face":[92],"difficulty":[93],"in":[94,136],"right":[99],"system.":[103],"We":[104,164,216],"have":[105,128],"used":[106,154,165,189,237],"tactics":[107,117,134,251],"as":[108],"feature":[111],"owing":[112],"fact":[115],"are":[118],"building":[119],"blocks":[120],"patterns.":[123],"In":[124,260],"this":[125,261],"study,":[126],"built":[129,143],"model":[131,153,255,272],"detects":[133],"implemented":[135],"single":[137],"then":[140],"using":[141],"custom":[142],"algorithm":[144,240],"recommend":[146],"The":[149],"proposed":[150],"tactic":[151],"classification":[152],"Natural":[155],"Language":[156],"Processing":[157],"(NLP)":[158],"pre-processing":[160],"datasets.":[163],"Term":[166],"Frequency-Inverse":[167],"Document":[168],"Frequency":[169],"(TF-IDF)":[170],"word2vec":[172],"vectorization":[173],"after":[174],"preprocessing":[175],"convert":[177],"textual":[179],"data":[180],"format":[181],"vectorized":[183],"form.":[184],"Furthermore,":[185],"classification,":[187],"three":[190],"different":[191,212],"machine":[192],"learning":[193],"algorithms":[194],"i.e.,":[195],"Support":[196],"Vector":[197],"Machine,":[198],"Decision":[199],"Tree,":[200],"Naive":[202],"Bayes.":[203],"To":[204],"reach":[205],"out":[206],"high":[207],"performance,":[208],"ran":[210],"six":[211],"combinations":[213],"experiments.":[215],"selected":[217],"TF-IDF":[218],"with":[219,229,274],"SVM":[220],"combination":[221],"performed":[224],"better":[225],"than":[226],"others":[228],"accuracy":[231],"value":[232],"94%.":[234],"Finally,":[235],"custom-built":[239,275],"recommendation":[243,286],"based":[248],"identified":[252],"second":[258],"dataset.":[259],"study":[262],"had":[264,282],"conducted":[265],"two":[266,279],"prototypic":[267],"experiment":[268],"evaluate":[270],"our":[271],"along":[273],"algorithm.":[276],"thus":[278],"experiments,":[280],"got":[283],"most":[284],"precise":[285],"system":[292],"having":[293],"specified":[294],"tactics.":[295]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
