Johari Abdul Rahim¹, Rosdiadee Nordin^2,*, Oluwatosin Ahmed Amodu^3,4

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 747-800, 2024, DOI:10.32604/cmc.2024.047009 - 18 July 2024

Abstract Software Defined Networking (SDN) is programmable by separation of forwarding control through the centralization of the controller. The controller plays the role of the ‘brain’ that dictates the intelligent part of SDN technology. Various versions of SDN controllers exist as a response to the diverse demands and functions expected of them. There are several SDN controllers available in the open market besides a large number of commercial controllers; some are developed to meet carrier-grade service levels and one of the recent trends in open-source SDN controllers is the Open Network Operating System (ONOS). This paper… More >

Zhifang Liao¹, Bolin Zhang¹, Xuechun Huang¹, Song Yu^1,*, Yan Zhang²

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 687-704, 2023, DOI:10.32604/cmes.2023.027466 - 23 April 2023

Abstract Currently, open-source software is gradually being integrated into industrial software, while industry protocols in industrial software are also gradually transferred to open-source community development. Industrial protocol standardization organizations are confronted with fragmented and numerous code PR (Pull Request) and informal proposals, and different workflows will lead to increased operating costs. The open-source community maintenance team needs software that is more intelligent to guide the identification and classification of these issues. To solve the above problems, this paper proposes a PR review prediction model based on multi-dimensional features. We extract 43 features of PR and divide… More >

Meera Sharma¹, H. Pham², V.B. Singh³

Computer Systems Science and Engineering, Vol.34, No.1, pp. 33-46, 2019, DOI:10.32604/csse.2019.34.033

Abstract In Open Source Software (OSS), users report different issues on issues tracking systems. Due to time constraint, it is not possible for developers to resolve all the issues in the current release. The leftover issues which are not addressed in the current release are added in the next release issue content. Fixing of issues result in code changes that can be quantified with a measure known as complexity of code changes or entropy. We have developed a 2-dimensional entropy based mathematical model to determine the leftover issues of different releases of five Apache open source More >