Test Driven Development: Advancing Knowledge by Conjecture and Confirmation

Parsons, David; Lal, Ramesh; Lange, Manfred

doi:10.3390/fi3040281

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…Teaching TDD in a non-professional context requires simulated problems to help students grasp the basics of TDD. Parsons et al [43] state that it is important to gain an understanding of TDD through the experiences of those who have successfully adopted this practice, given the complexity of the subject for industrial projects. In that regard, students might also benefit from those experiences to enhance their learning experience.…”

Section: Learning Tddmentioning

confidence: 99%

“…Whether tackled from an academic perspective or in professional settings, TDD is being applied in various contexts and in combination with other agile practices [43]. This leads practitioners to advocate that TDD leads to better design, as the practice prioritizes testability first.…”

Section: Tdd Practicementioning

confidence: 99%

“…The secret life of test smells-an empirical study on test smell evolution and maintenance [65] Conference Paper (P) Test Driven Development: Advancing Knowledge by Conjecture and Confirmation [43] Conference Paper (P) Defining suitable testing levels, methods and practices for an agile web application project [36] Thesis (T) DevOps Capability Assessment in a Software Development Team [38] Thesis (T) Knowledge and mindset in software development-how developers, testers, technical writers and managers differ a survey [33] Conference Paper (P)…”

Section: Data Availability Statementmentioning

confidence: 99%

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Exploring the Connection between the TDD Practice and Test Smells—A Systematic Literature Review

Marabesi,

García-Holgado,

García-Peñalvo

2024

Computers

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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.

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Section: Learning Tddmentioning

confidence: 99%

Section: Tdd Practicementioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

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Exploring the Connection between the TDD Practice and Test Smells—A Systematic Literature Review

Marabesi,

García-Holgado,

García-Peñalvo

2024

Computers

View full text Add to dashboard Cite

show abstract

“…The methodology chosen to achieve this goal was Test Driven Development (TDD) [81]. TDD is based on translating the software requirements into test cases to write their tests, performing the implementation necessary for these tests to pass, and refactoring the written code.…”

Section: Infrastructure and Platform Evaluationmentioning

confidence: 99%

Monitoring System of the Mar Menor Coastal Lagoon (Spain) and Its Watershed Basin Using the Integration of Massive Heterogeneous Data

López-Andreu

López-Morales

Juárez

et al. 2022

Sensors

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The tool created aims at the environmental monitoring of the Mar Menor coastal lagoon (Spain) and the monitoring of the land use of its watershed. It integrates heterogeneous data sources ranging from ecological data obtained from a multiparametric oceanographic sonde to agro-meteorological data from IMIDA’s network of stations or hydrological data from the SAIH network as multispectral satellite images from Sentinel and Landsat space missions. The system is based on free and open source software and has been designed to guarantee maximum levels of flexibility and scalability and minimum coupling so that the incorporation of new components does not affect the existing ones. The platform is designed to handle a data volume of more than 12 million records, experiencing exponential growth in the last six months. The tool allows the transformation of a large volume of data into information, offering them through microservices with optimal response times. As practical applications, the platform created allows us to know the ecological state of the Mar Menor with a very high level of detail, both at biophysical and nutrient levels, being able to detect periods of oxygen deficit and delimit the affected area. In addition, it facilitates the detailed monitoring of the cultivated areas of the watershed, detecting the agricultural use and crop cycles at the plot level. It also makes it possible to calculate the amount of water precipitated on the watershed and to monitor the runoff produced and the amount of water entering the Mar Menor in extreme events. The information is offered in different ways depending on the user profile, offering a very high level of detail for research or data analysis profiles, concrete and direct information to support decision-making for users with managerial profiles and validated and concise information for citizens. It is an integrated and distributed system that will provide data and services for the Mar Menor Observatory.

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Identifying Guidelines for Test-Driven Development in Software Engineering—A Literature Review

Staegemann

Volk

Pohl

et al. 2022

Proceedings of Seventh International Congress on Information and Communication Technology

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Test Driven Development: Advancing Knowledge by Conjecture and Confirmation

Cited by 6 publications

References 28 publications

Exploring the Connection between the TDD Practice and Test Smells—A Systematic Literature Review

Exploring the Connection between the TDD Practice and Test Smells—A Systematic Literature Review

Monitoring System of the Mar Menor Coastal Lagoon (Spain) and Its Watershed Basin Using the Integration of Massive Heterogeneous Data

Identifying Guidelines for Test-Driven Development in Software Engineering—A Literature Review

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