2021
DOI: 10.48550/arxiv.2103.10074
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Blockchain Testing: Challenges, Techniques, and Research Directions

Abstract: Specific testing solutions targeting blockchain-based software are gaining huge attention as blockchain technologies are being increasingly incorporated into enterprise systems. As blockchain-based software enters production systems, it is paramount to follow proper engineering practices, to ensure the required level of testing, and assess the readiness of the developed system. The existing research aims at addressing the testing related issues and challenges of engineering blockchain-based software by providi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 85 publications
(118 reference statements)
0
2
0
Order By: Relevance
“…Lal and Marijan [23] have produced an extensive survey on the literature regarding Blockchain testing. A large part of the research on Blockchains is focused on testing the performances and correctness of those technologies.…”
Section: Testing the Performances Of Blockchain Technologiesmentioning
confidence: 99%
“…Lal and Marijan [23] have produced an extensive survey on the literature regarding Blockchain testing. A large part of the research on Blockchains is focused on testing the performances and correctness of those technologies.…”
Section: Testing the Performances Of Blockchain Technologiesmentioning
confidence: 99%
“…Since 2018, fuzzing has been extensively employed in the realm of smart contracts [55]. With the emergence of various smart contract fuzzers [58], it is essential to systematically evaluate their usability and effectiveness. This can help pinpoint the strengths and weaknesses of each technique, guide researchers in selecting the most appropriate technique for their use cases, and inspire the development of new fuzzers based on the gained insights.…”
Section: Introductionmentioning
confidence: 99%