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

Andrea Pinna (), Maria Ilaria Lunesu, Stefano Orrù and Roberto Tonelli
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Andrea Pinna: Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy
Maria Ilaria Lunesu: Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy
Stefano Orrù: Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy
Roberto Tonelli: Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy

Future Internet, 2023, vol. 15, issue 7, 1-20

Abstract: 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.

Keywords: self-admitted technical debt; blockchain; NLP (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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