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The proposed model brings inclusiveness into the already available data mining techniques of software cost estimation by sensitively choosing a subset of highly relevant project attributes and ignoring the less relevant ones. In this article, a diverse set of data mining techniques for software cost estimation are considered. All these techniques are experimented on five data sets before and after passed through the proposed procedure. The obtained results showed that newly generated techniques after being passed through the proposed procedure offer accurate results up in the way of efficiency in software cost estimation.<\/p>","DOI":"10.4018\/ijirr.2019010102","type":"journal-article","created":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T12:41:18Z","timestamp":1540989678000},"page":"16-32","source":"Crossref","is-referenced-by-count":6,"title":["A Generic Data Mining Model for Software Cost Estimation Based on Novel Input Selection Procedure"],"prefix":"10.4018","volume":"9","author":[{"given":"Zahid Hussain","family":"Wani","sequence":"first","affiliation":[{"name":"University of Kashmir, Srinagar, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8792-5011","authenticated-orcid":true,"given":"Kaiser J.","family":"Giri","sequence":"additional","affiliation":[{"name":"Islamic University of Science & Technology, Awantipora, India"}]},{"given":"Rumaan","family":"Bashir","sequence":"additional","affiliation":[{"name":"Islamic University of Science & Technology, Awantipora, India"}]}],"member":"2432","reference":[{"key":"IJIRR.2019010102-0","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.1983.235271"},{"key":"IJIRR.2019010102-1","author":"B.Boehm","year":"1981","journal-title":"Software Engineering Economics"},{"key":"IJIRR.2019010102-2","author":"B.Boehm","year":"2000","journal-title":"Software Cost Estimation with Cocomo II"},{"key":"IJIRR.2019010102-3","unstructured":"Booker, J.M., Meyer, M.M. 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