Enhance Software Quality Using Data Mining Algorithms

Liaghat, Zeinab; Rasekh, Amir Hossein; Tabebordbar, Ali Reza

doi:10.1109/scet.2012.6342020

Search citation statements

Order By: Relevance

Paper Sections

Select...

E Enhancing Software Quality1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To enhance agent-based software quality, several techniques have been proposed, e.g., agile techniques [114] and data mining techniques [115]. Agile techniques can handle unstable requirements throughout the development life cycle and can deliver products in shorter time frames and under budget constraints in comparison with traditional development methods.…”

Section: E Enhancing Software Qualitymentioning

confidence: 99%

A Survey of Self-Organization Mechanisms in Multiagent Systems

Zhang

Vasilakos

2017

IEEE Trans. Syst. Man Cybern, Syst.

129

View full text Add to dashboard Cite

This paper surveys the literature over a period of the last decades in the field of self-organising multi-agent systems. Self-organisation has been extensively studied and applied in multi-agent systems and other fields, e.g., sensor networks and grid systems. Self-organisation mechanisms in other fields have been thoroughly surveyed. However, there has not been a survey of self-organisation mechanisms developed for use in multiagent systems. The aim of this paper is to provide a survey of existing literature on self-organisation mechanisms in multiagent systems. This paper also highlights the future work on the key research issues in multi-agent systems. This paper serves as a guide and a starting point for anyone who will conduct research on self-organisation in multi-agent systems. Also, this paper complements existing survey studies of self-organisation in multi-agent systems.

show abstract

Section: E Enhancing Software Qualitymentioning

confidence: 99%