Computational statistics of data science for secured software engineering

Title

Computational statistics of data science for secured software engineering

Creator

Althar R.R.; Samanta D.

Description

The chapter focuses on exploring the work done for applying data science for software engineering, focusing on secured software systems development. With requirements management being the first stage of the life cycle, all the approaches that can help security mindset right at the beginning are explored. By exploring the work done in this area, various key themes of security and its data sources are explored, which will mark the setup of base for advanced exploration of the better approaches to make software systems mature. Based on the assessments of some of the work done in this area, possible prospects are explored. This exploration also helps to emphasize the key challenges that are causing trouble for the software development community. The work also explores the possible collaboration across machine learning, deep learning, and natural language processing approaches. The work helps to throw light on critical dimensions of software development where security plays a key role. 2021, IGI Global.

Source

Methodologies and Applications of Computational Statistics for Machine Intelligence, pp. 81-96.

Date

2021-01-01

Publisher

IGI Global

Coverage

Althar R.R., Christ (Deemed to be University), QMS, First American India, Bangalore, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-179987703-5; 978-179987701-1

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/978-1-7998-7701-1.ch005

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