Deep Cross-Project Software Reliability Growth Model Using Project Similarity-Based Clustering

Deep Cross-Project Software Reliability Growth Model Using Project Similarity-Based Clustering

Software reliability is an essential 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 pha...

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Bibliographic Details
Main Authors: Kyawt Kyawt San, Hironori Washizaki, Yoshiaki Fukazawa, Kiyoshi Honda, Masahiro Taga, Akira Matsuzaki
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Mathematics
Subjects:
software reliability
deep learning
long short-term memory
project similarity and clustering
cross-project prediction
Online Access:https://www.mdpi.com/2227-7390/9/22/2945

Internet

https://www.mdpi.com/2227-7390/9/22/2945

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