Lyman GILLISPIE

Posté le 11/10/2018 par Lyman GILLISPIE, Jérôme Van Der Linden

In prior articles (1, 2, 3, 4), we’ve implemented isolated tests which offer us precise and reliable feedback - and are more or less fast depending on whether we’re running unit tests or component tests which need to load a Spring context. But these tests have their limits, precisely because they’re isolated. In this article we’ll deal with tests t...

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Posté le 04/10/2018 par Lyman GILLISPIE, Jérôme Van Der Linden

In the last article we described component tests: tests which are half unit and half integration test, that allow us to validate both integration within our application (via dependency injection) and also with peripheral components. All of which while remaining sufficiently isolated, to limit friction during execution. Because this isolation works ...

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Posté le 27/09/2018 par Lyman GILLISPIE

The previous article detailed the base of the pyramid: unit tests and their role in preventing regressions in our application. But they’re far from being sufficient, and we need to use other types of tests. In this article, we’ll cover component tests.This article originally appeared on our French Language Blog on 27/06/2018.body .gist .highlight {...

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Posté le 20/09/2018 par Lyman GILLISPIE, Jérôme Van Der Linden

In the previous article, we discussed the theory of the Testing Pyramid -- a testing strategy to ensure our application’s quality at a reasonable cost. Notable, we discussed the notion of feedback, and the importance of having fast, accurate, and reliable feedback. Unit tests typically address these criteria for a modest investment. Through this ar...

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Posté le 13/09/2018 par Lyman GILLISPIE, Ali-Asghar Houssein, Jérôme Van Der Linden

If you read this blog or our publications, you know how much testing is tied to software quality and, if I may say so, to software success. I insist on this point because all too often our customers treat tests as the fifth wheel when it comes to development. You know the consequences: an astronomical number of design anomalies, pernicious bugs in ...

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