An efficient scheme for secure feature location using data fusion and data mining in internet of things environment-Reference-Cited by-同舟云学术

An efficient scheme for secure feature location using data fusion and data mining in internet of things environment

Published:2020-03-09 Issue:3 Volume:52 Page:642-657
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw Pract Exp

Author:

N Balaji¹^ORCID,S Lakshmi²,M Anand³^ORCID,M Anbarasan⁴^ORCID,P Mathiyalagan⁵

Affiliation:

1. Department of Computer Science and Engineering Tagore Engineering College Chennai Tamil Nadu India

2. Department of Electronics and Communication Engineering Tagore Engineering College Chennai Tamil Nadu India

3. Department of Computer Science and Engineering, Saveetha School of Engineering Saveetha Institute of Medical And Technical Sciences Chennai Tamil Nadu India

4. Department of Computer Science and Engineering Sri Sairam Institute of Technology Chennai Tamil Nadu India

5. Department of Computer Science and Engineering Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2805

Reference29 articles.

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3. A field study of how developers locate features in source code

4. FujiokaD NittaN. Constraints based approach to interactive feature location. Paper presented at:IEEE International Conference on Software Maintenance and Evolution (ICSME);2017; Shanghai China:499–503.

5. HillE ShepherdD PollockL. Exploring the use of concern element role information in feature location evaluation. Paper presented at: Proceedings of the 2015 IEEE 23rd International Conference on Program Comprehension;2015; Florence Italy:140–150.

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