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This paper analyses 25 traditional releases containing 1210 classes and 69 rapid releases containing 2616 classes of four Open Source Java systems. Correlations between 48 Object Oriented metrics and 2 test metrics were evaluated to identify the best indicators of test effort. The results show that (i) correlation between OO and test metrics remain irrespective of release models, (ii) test effort required in Rapid Release (RR) models (shorter release cycles) is slightly more as compared to Traditional Release (TR) models, (iii) Out of 18 machine learning algorithms instance based machine learning algorithms IBK and K star followed by Multi-Layer Perceptron (MLP) and additive regression are able to predict the test effort accurately in classes.<\/jats:p>","DOI":"10.3233\/jifs-169703","type":"journal-article","created":{"date-parts":[[2018,6,15]],"date-time":"2018-06-15T13:27:05Z","timestamp":1529069225000},"page":"1657-1669","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Test effort estimation and prediction of traditional and rapid release models using machine learning algorithms"],"prefix":"10.1177","volume":"35","author":[{"given":"Vidhi","family":"Vig","sequence":"first","affiliation":[{"name":"University School of Information, Communication and Technology, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India"}]},{"given":"Arvinder","family":"Kaur","sequence":"additional","affiliation":[{"name":"University School of Information, Communication and Technology, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India"}]}],"member":"179","published-online":{"date-parts":[[2018,6,13]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0218194013500198"},{"key":"e_1_3_1_3_2","unstructured":"Apache Software Foundation (ASF) http:\/\/www.apache.org\/."},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10260-010-0142-z"},{"key":"e_1_3_1_5_2","doi-asserted-by":"crossref","unstructured":"GammaE. 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