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Selected Papers from 18th Iberian Conference on Information Systems and...
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Selected Papers from 18th Iberian Conference on Information Systems and Technologies (CISTI'2023)

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 6634

Special Issue Editor

Prof. Dr. Álvaro Rocha

E-Mail Website1 Website2
Guest Editor
ISEG, Universidade de Lisboa, 1249-078 Lisboa, Portugal
Interests: information systems; software engineering; online service quality; e-Government; e-Health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

CISTI'2023—18th Iberian Conference on Information Systems and Technologies will be held between the 20th and 23rd of June 2023, at the University of Aveiro, Aveiro, Portugal. CISTI is a technical and scientific event, whose purpose is to present and discuss knowledge, new perspectives, experiences and innovations in the Information Systems and Technologies field. For more information, see: http://www.cisti.eu/.

The authors of a number of selected high-quality full papers will be invited after the conference to submit revised and extended versions of their originally accepted conference papers to this Special Issue of Computers, published by MDPI, in an open-access format. The selection of these best papers will be based on their ratings in the conference review process, the quality of the presentation during the conference, and the expected impact on the research community. Each submission to this Special Issue should contain at least 50% new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases and a change of title, abstract, and keywords. These extended submissions will undergo a peer-review process according to the journal’s rules of action.

Prof. Dr. Álvaro Rocha
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Published Papers (3 papers)

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23 pages, 2765 KiB  
Article
Fruit and Vegetables Blockchain-Based Traceability Platform
by Ricardo Morais, António Miguel Rosado da Cruz and Estrela Ferreira Cruz
Computers 2024, 13(5), 112; https://doi.org/10.3390/computers13050112 - 26 Apr 2024
Cited by 1 | Viewed by 2080
Abstract
Fresh food is difficult to preserve, especially because its characteristics can change, and its nutritional value may decrease. Therefore, from the consumer’s point of view, it would be very useful if, when buying fresh fruit or vegetables, they could know where it has [...] Read more.
Fresh food is difficult to preserve, especially because its characteristics can change, and its nutritional value may decrease. Therefore, from the consumer’s point of view, it would be very useful if, when buying fresh fruit or vegetables, they could know where it has been cultivated, when it was harvested and everything that has happened from its harvest until it reached the supermarket shelf. In other words, the consumer would like to have information about the traceability of the fruit or vegetables they intend to buy. This article presents a blockchain-based platform that allows institutions, consumers and business partners to track, back and forward, quality and sustainability information about all types of fresh fruits and vegetables. Full article
(This article belongs to the Special Issue Selected Papers from 18th Iberian Conference on Information Systems and Technologies (CISTI'2023))
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16 pages, 4444 KiB  
Article
Using Privacy-Preserving Algorithms and Blockchain Tokens to Monetize Industrial Data in Digital Marketplaces
by Borja Bordel Sánchez, Ramón Alcarria, Latif Ladid and Aurel Machalek
Computers 2024, 13(4), 104; https://doi.org/10.3390/computers13040104 - 18 Apr 2024
Cited by 2 | Viewed by 1716
Abstract
The data economy has arisen in most developed countries. Instruments and tools to extract knowledge and value from large collections of data are now available and enable new industries, business models, and jobs. However, the current data market is asymmetric and prevents companies [...] Read more.
The data economy has arisen in most developed countries. Instruments and tools to extract knowledge and value from large collections of data are now available and enable new industries, business models, and jobs. However, the current data market is asymmetric and prevents companies from competing fairly. On the one hand, only very specialized digital organizations can manage complex data technologies such as Artificial Intelligence and obtain great benefits from third-party data at a very reduced cost. On the other hand, datasets are produced by regular companies as valueless sub-products that assume great costs. These companies have no mechanisms to negotiate a fair distribution of the benefits derived from their industrial data, which are often transferred for free. Therefore, new digital data-driven marketplaces must be enabled to facilitate fair data trading among all industrial agents. In this paper, we propose a blockchain-enabled solution to monetize industrial data. Industries can upload their data to an Inter-Planetary File System (IPFS) using a web interface, where the data are randomized through a privacy-preserving algorithm. In parallel, a blockchain network creates a Non-Fungible Token (NFT) to represent the dataset. So, only the NFT owner can obtain the required seed to derandomize and extract all data from the IPFS. Data trading is then represented by NFT trading and is based on fungible tokens, so it is easier to adapt prices to the real economy. Auctions and purchases are also managed through a common web interface. Experimental validation based on a pilot deployment is conducted. The results show a significant improvement in the data transactions and quality of experience of industrial agents. Full article
(This article belongs to the Special Issue Selected Papers from 18th Iberian Conference on Information Systems and Technologies (CISTI'2023))
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Other

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31 pages, 1182 KiB  
Systematic Review
Exploring the Connection between the TDD Practice and Test Smells—A Systematic Literature Review
by Matheus Marabesi, Alicia García-Holgado and Francisco José García-Peñalvo
Computers 2024, 13(3), 79; https://doi.org/10.3390/computers13030079 - 18 Mar 2024
Viewed by 1963
Abstract
Test-driven development (TDD) is an agile practice of writing test code before production code, following three stages: red, green, and refactor. In the red stage, the test code is written; in the green stage, the minimum code necessary to make the test pass [...] Read more.
Test-driven development (TDD) is an agile practice of writing test code before production code, following three stages: red, green, and refactor. In the red stage, the test code is written; in the green stage, the minimum code necessary to make the test pass is implemented, and in the refactor stage, improvements are made to the code. This practice is widespread across the industry, and various studies have been conducted to understand its benefits and impacts on the software development process. Despite its popularity, TDD studies often focus on the technical aspects of the practice, such as the external/internal quality of the code, productivity, test smells, and code comprehension, rather than the context in which it is practiced. In this paper, we present a systematic literature review using Scopus, Web of Science, and Google Scholar that focuses on the TDD practice and the influences that lead to the introduction of test smells/anti-patterns in the test code. The findings suggest that organizational structure influences the testing strategy. Additionally, there is a tendency to use test smells and TDD anti-patterns interchangeably, and test smells negatively impact code comprehension. Furthermore, TDD styles and the relationship between TDD practice and the generation of test smells are frequently overlooked in the literature. Full article
(This article belongs to the Special Issue Selected Papers from 18th Iberian Conference on Information Systems and Technologies (CISTI'2023))
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