| Autor: |
Martou, Pierre, Mens, Kim, Duhoux, Benoît, Legay, Axel |
| Rok vydání: |
2021 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
Their highly adaptive nature and the combinatorial explosion of possible configurations makes testing context-oriented programs hard. We propose a methodology to automate the generation of test scenarios for developers of feature-based context-oriented programs. By using combinatorial interaction testing we generate a covering array from which a small but representative set of test scenarios can be inferred. By taking advantage of the explicit separation of contexts and features in such context-oriented programs, we can further rearrange the generated test scenarios to minimise the reconfiguration cost between subsequent scenarios. Finally, we explore how a previously generated test suite can be adapted incrementally when the system evolves to a new version. By validating these algorithms on a small use case, our initial results show that the proposed test generation approach is efficient and beneficial to developers to test and improve the design of context-oriented programs. |
| Databáze: |
arXiv |
| Externí odkaz: |
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