Smart Topics: Designing an Ethreurm Smart Contracts Environment Knowledge-Base Using Natural Language Processing, Social Media and Complex Network Theory

Ibba, G.; Conversano, Claudio; Tonelli, Roberto

doi:10.2139/ssrn.4345267

Cited by 1 publication

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“…Today, the monitored tokens in circulation are over twenty thousand, and the total trading volume that revolves around blockchain technology is in the order of tens of billions of dollars a day. Furthermore, in order to convince investors and instill trust, blockchain projects are often open-source, which allows researchers to study the code to highlight development patterns, recognize vulnerabilities, and calculate statistics [9,10]. For the reason that this kind of system is intended to create trust, understanding TD in blockchain systems is crucial.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Self-Admitted Technical Debt in Open-Source Blockchain Projects

et al. 2023

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Technical debt refers to decisions made during the design and development of software that postpone the resolution of technical problems or the enhancement of the software’s features to a later date. If not properly managed, technical debt can put long-term software quality and maintainability at risk. Self-admitted technical debt is defined as the addition of specific comments to source code as a result of conscious and deliberate decisions to accumulate technical debt. In this paper, we will look at the presence of self-admitted technical debt in open-source blockchain projects, which are characterized by the use of a relatively novel technology and the need to generate trust. The self-admitted technical debt was analyzed using NLP techniques for the classification of comments extracted from the source code of ten projects chosen based on capitalization and popularity. The analysis of self-admitted technical debt in blockchain projects was compared with the results of previous non-blockchain open-source project analyses. The findings show that self-admitted design technical debt outnumbers requirement technical debt in blockchain projects. The analysis discovered that some projects had a low percentage of self-admitted technical debt in the comments but a high percentage of source code files with debt. In addition, self-admitted technical debt is on average more prevalent in blockchain projects and more equally distributed than in reference Java projects.If not managed, the relatively high presence of detected technical debt in blockchain projects could represent a threat to the needed trust between the blockchain system and the users. Blockchain projects development teams could benefit from self-admitted technical debt detection for targeted technical debt management.

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Section: Introductionmentioning

confidence: 99%