Tests as Maintainable Assets via Auto-Generated Spies: a Case Study Involving the Scala Collections Library's Iterator Trait

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Title

Tests as Maintainable Assets via Auto-Generated Spies: a Case Study Involving the Scala Collections Library's Iterator Trait

Loyola Faculty Contributor

Konstantin Läufer

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List of Authors

Konstantin Läufer; John O'Sullivan; George K Thiruvathukal

Abstract

In testing stateful abstractions, it is often necessary to record interactions, such as method invocations, and express assertions over these interactions. Following the Test Spy design pattern, we can reify such interactions programmatically through additional mutable state. Alternatively, a mocking framework, such as Mockito, can automatically generate test spies that allow us to record the interactions and express our expectations in a declarative domain-specific language. According to our study of the test code for Scala's Iterator trait, the latter approach can lead to a significant reduction of test code complexity in terms of metrics such as code size (in some cases over 70% smaller), cyclomatic complexity, and amount of additional mutable state required. In this tools paper, we argue that the resulting test code is not only more maintainable, readable, and intentional, but also a better stylistic match for the Scala community than manually implemented, explicitly stateful test spies.

Date

17-Jul-19

Publication Title

Scala '19: Proceedings of the Tenth ACM SIGPLAN Symposium on Scala

Publisher

Association for Computing Machinery

Identifier

https://doi.org/10.1145/3337932.3338814

Bibliographic Citation

Konstantin Läufer, John O'Sullivan, and George K. Thiruvathukal. 2019. Tests as maintainable assets via auto-generated spies: a case study involving the Scala collections library's iterator trait. In Proceedings of the Tenth ACM SIGPLAN Symposium on Scala (Scala '19). Association for Computing Machinery, New York, NY, USA, 17–21. DOI:10.1145/3337932.3338814

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