RETRACTED: Hybrid software reliability model with Pareto distribution and ant colony optimization (PD–ACO)
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 24 April 2020
Issue publication date: 4 May 2020
Retraction notice
The publishers of the International Journal of Intelligent Unmanned Systems wish to retract the article D, S. and Dr, P. (2020), “Hybrid software reliability model with Pareto distribution and ant colony optimization (PD-ACO)”, International Journal of Intelligent Unmanned Systems, Vol. 8 No. 2, pp. 129-140. https://doi.org/10.1108/IJIUS-09-2019-0052
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald's publishing ethics and the COPE guidelines on retractions. The authors of this article would like to note that they do not agree with the content of this notice. The publishers of the journal sincerely apologize to the readers.
Abstract
Purpose
Software reliability models in the past few years attracted researchers to build an accurate model in the software engineering. Testing is an important factor in the software development cycle.
Design/methodology/approach
As testing improves quality and reliability of the application by identifying the bugs in it. Also, it defines the behavior and state of the product based on the defined principles and mechanisms. Conventional reliability models use statistical distributions to attain realistic features.
Findings
The ability to predict the bugs in the application during development phase itself is a proper testing practice which saves the time and increases the efficiency of the application. Efficient management and timely release of the product is based on this reliability testing and ant colony optimization (ACO)-based testing is an important optimization model which is available for testing the application.
Originality/value
Conventional ant colony optimization used test case generation as its common approach for testing the reliability of the application. ACO uses pheromone activity and it is related in testing of application and provides a simple positive mechanism by identifying the inactivity and precociousness.
Keywords
Acknowledgements
All the authors state that there is no conflict of interest. The authors used their own data.
Citation
D, S. and Dr, P. (2020), "RETRACTED: Hybrid software reliability model with Pareto distribution and ant colony optimization (PD–ACO)", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 2, pp. 129-140. https://doi.org/10.1108/IJIUS-09-2019-0052
Publisher
:Emerald Publishing Limited
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