Çulha, Davut

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Profile URL
https://hdl.handle.net/20.500.14411/6966
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Çulha, Dr. Davut
Davut, Culha
Davut, Çulha
D., Culha
Ç.,Davut
D.,Çulha
Çulha,D.
Culha D.
Ç., Davut
Culha, Davut
D., Çulha
C.,Davut
Çulha, Davut
D.,Culha
Culha,D.
C., Davut
Job Title
Doçent Doktor
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davut.culha@atilim.edu.tr
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Software Engineering
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Scholarly Output

7

Articles

1

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13/19

Supervised MSc Theses

2

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0

WoS Citation Count

27

Scopus Citation Count

33

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0

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0

WoS Citations per Publication

3.86

Scopus Citations per Publication

4.71

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1

Supervised Theses

2

JournalCount
International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism, IBIGDELFT 2018 - Proceedings -- 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism, IBIGDELFT 2018 -- 3 December 2018 through 4 December 2018 -- Ankara -- 1445742
6th International Conference on Blockchain Computing and Applications -- NOV 26-29, 2024 -- Zayed University, Dubai, U ARAB EMIRATES1
International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT) -- DEC 03-04, 2018 -- Turkish IT Author, Ankara, TURKEY1
Journal of Universal Computer Science1
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Author: Culha, DavutSubject: Blockchain Smart Contract

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    Citation - WoS: 1
    Citation - Scopus: 5
    Smart Contract Upgradability: a Structured and Natural Approach
    (Institute of Electrical and Electronics Engineers Inc., 2024) Culha, Davut; Yazici, Ali
    Software maintenance is crucial as technology rapidly evolves, requiring software to meet new demands and correct errors. Smart contracts, immutable programs on blockchains like Ethereum, face challenges despite their immutability, often needing updates for errors or new features. Smart contracts are upgraded using different patterns, which are not natural because most of them implement upgrades using low-level operations that deviate from their intended use. In other words, these patterns are not natural because upgrades are done by implementing workarounds. Moreover, smart contracts are also susceptible to security vulnerabilities because they may hold large amounts of money. In this paper, upgradability of smart contracts is considered a necessity. For this purpose, a more structured method is proposed by adding high-level features and combining inheritance properties of object-oriented languages. A key component of this method is the gotoContract variable, which allows for the redirection of function calls to upgraded contracts. The proposed method provides a complete upgrade of data and functions in smart contracts. It aims to minimize the effects of upgrades on end users of the smart contracts. Additionally, this natural way of upgrading will help mitigate security risks in the smart contracts by providing a high-level approach to upgrade.