PREDICTING OPEN-SOURCE SOFTWARE QUALITY USING STATISTICAL AND MACHINE LEARNING TECHNIQUES

منو

" PREDICTING OPEN-SOURCE SOFTWARE QUALITY USING STATISTICAL AND MACHINE LEARNING TECHNIQUES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150795
Doc. No	:	ET22587
Main Entry	:	Amit Ashok Phadke
Title Proper	:	PREDICTING OPEN-SOURCE SOFTWARE QUALITY USING STATISTICAL AND MACHINE LEARNING TECHNIQUES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Developing high quality software is the goal of every software development organization.Software quality models are commonly used to assess and improve the softwarequality. These models, based on the past releases of the system, can be used to identifythe fault-prone modules for the next release. This information is useful to the open-sourcesoftware community, including....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45811.pdf
Title and statement of responsibility and	:	PREDICTING OPEN-SOURCE SOFTWARE QUALITY USING STATISTICAL AND MACHINE LEARNING TECHNIQUES [Thesis]