Assessing Mock Classes: An Empirical Study
| Autor: | Gustavo Henrique de Mattos Pereira, Andre Hora |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Hierarchy
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer science Test double business.industry 020207 software engineering 02 engineering and technology Software maintenance computer.software_genre Data science Web testing Software Empirical research 020204 information systems 0202 electrical engineering electronic engineering information engineering Web service business computer Mock object |
| Zdroj: | ICSME |
| DOI: | 10.1109/icsme46990.2020.00050 |
| Popis: | During testing activities, developers frequently rely on dependencies (e.g., web services, etc) that make the test harder to be implemented. In this scenario, they can use mock objects to emulate the dependencies’ behavior, which contributes to make the test fast and isolated. In practice, the emulated dependency can be dynamically created with the support of mocking frameworks or manually hand-coded in mock classes. While the former is well-explored by the research literature, the latter has not yet been studied. Assessing mock classes would provide the basis to better understand how those mocks are created and consumed by developers and to detect novel practices and challenges. In this paper, we provide the first empirical study to assess mock classes. We analyze 12 popular software projects, detect 604 mock classes, and assess their content, design, and usage. We find that mock classes: often emulate domain objects, external dependencies, and web services; are typically part of a hierarchy; are mostly public, but 1/3 are private; and are largely consumed by client projects, particularly to support web testing. Finally, based on our results, we provide implications and insights to researchers and practitioners working with mock classes. |
| Databáze: | OpenAIRE |
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