2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON) 2019
DOI: 10.1109/dappcon.2019.00033
|View full text |Cite
|
Sign up to set email alerts
|

Modularizing Cross-Cutting Concerns with Aspect-Oriented Extensions for Solidity

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 7 publications
0
3
0
Order By: Relevance
“…Decoupling concerns that often overlap, such as patient data management, access control, and data security, improves an EHR system's modularity and maintainability (Hung, 2019). Model checking verifies the correctness of such components, hence enhancing the reliability of EHR system.…”
Section: Introductionmentioning
confidence: 99%
“…Decoupling concerns that often overlap, such as patient data management, access control, and data security, improves an EHR system's modularity and maintainability (Hung, 2019). Model checking verifies the correctness of such components, hence enhancing the reliability of EHR system.…”
Section: Introductionmentioning
confidence: 99%
“…The effective modeling of concerns improves the reusability and maintainability of software, which in turn lead to greater flexibility and extensibility [10][11][12]. Recently, studies have reported the benefits of AOSD in the development of middleware for IoT [13], in user activity detection [14], in supporting organizational patterns [15], and in smart contract development in the blockchains context [16], to name a few.…”
Section: Introductionmentioning
confidence: 99%
“…• Smart contracts in Ethereum blockchain are considered a new platform; therefore, the coding practices of smart contracts are not yet mature (Hung et al, 2019). • The smart contract can be associated with a digital fortune that might be worth millions of dollars (Schrans et al, 2018).…”
Section: Introductionmentioning
confidence: 99%