An improved text classification modelling approach to identify security messages in heterogeneous projects

Security remains under-addressed in many organisations, illustrated by the number of large-scale software security breaches. Preventing breaches can begin during software development if attention is paid to security during the software’s design and implementation. One approach to security assurance...

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Bibliographic Details
Published in:	Software quality journal Vol. 29; no. 2; pp. 509 - 553
Main Authors:	Oyetoyan, Tosin Daniel, Morrison, Patrick
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2021 Springer Nature B.V
Subjects:	Categories Classification Compilers Computer Science Data Structures and Information Theory Datasets Interpreters Keywords Machine learning Messages Operating Systems Prediction models Programming Languages Recall Security Software development Software Engineering/Programming and Operating Systems Source code Text categorization Training Classification model Software repository Security Machine learning Text classification
ISSN:	0963-9314, 1573-1367
Online Access:	Get full text
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