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Deep Cross-Project Software Reliability Growth Model using Project Similarity Based Clustering
Software reliability is an important characteristic for ensuring the qualities of software products. Predicting the potential number of bugs from the beginning of a development project allows practitioners to make the appropriate decisions regarding testing activities. In the initial development phases, applying traditional software reliability growth models (SRGMs) with limited past data does not always provide reliable prediction result for decision making. To overcome this, herein we proposedoi:10.20944/preprints202110.0237.v1 fatcat:z72kxadlcvdktor7mui5llpdra