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1. Distributed Repository for Software Packages Using Blockchain

Author

Felipe Z. Da N. Costa, Ruy J. G. B. De Queiroz, Gustavo P. Bittencourt, and Leopoldo Teixeira

Subjects
Blockchain, distributed consensus, repository, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

A package repository is an essential piece of a software ecosystem. In FOSS, the software repositories are oftentimes hosted using limited donations, given the technical solutions adopted in the implementation. This work proposes a package repository using Blockchains with experiments and statistics based on a real-world scenario. The Blockchain described has its consensus algorithm crafted to befit the purpose of a package repository without financial appeal; Also, the proposed Blockchain keeps a compatible layer with the traditional repositories, easing its adoption. Furthermore, this work also presents a package search over peer-to-peer, computed on untrusted nodes, yet guaranteeing that the results are trusted. Finally, we present a functional Blockchain that cohesively exposes the PyPi catalog.

Published
2022
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6. Front Matter.

Author

Igor Steinmacher, Sabrina Marczak, Thelma Elita Colanzi, Davi Viana, Leopoldo Teixeira, Silvia R. Vergilio, Monalessa Barcellos, Ivan Machado 0001, and Johnny Marques

Published
2024

45. Investigating the Social Representations of Harmful Code

Author

Rodrigo Lima, Jairo Souza, Baldoino Fonseca, Leopoldo Teixeira, Rafael Maiani, Márcio Ribeiro, Rohit Gheyi, and Alessandro Garcia

Abstract

Context. Harmful Code are code elements that harm the software. Several characteristics can cause a code be Harmful to the Software. That may result from plenty of characteristics of the source code and external issues. By example, one might associate Harmful Code with the introduction of bugs, architecture degradation, and hard comprehension. However, there is still a lack of knowledge on which are the code issues that are considered harmful from the perspective of the community of software developers. Goal. In this work, we investigate the social representations of Harmful Code among a community of software developers composed of Brazilian postgraduate students and professionals from the industry. Method. We conducted free association tasks with members from this community for characterizing what comes to their minds when they think about Harmful Code. Then, we compiled a set of associations that compose the social representations of Harmful Code. Results. We found that the investigated community strongly associates Harmful Code with a core set of undesirable characteristics of the source code, such as bugs and different types of smells. Based on these findings, we discussed each of them to try to understand why those characteristics happen. Conclusion. Our study reveals the main characteristics of Harmful Code by a community of developers, those characteristics can guide researchers on future works to better understand Harmful Code.

Published
2023
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