2020-02-21
1852
#react
Rafael Quintanilha
14261
Feb 21, 2020 â‹… 6 min read

Semantic tests with react-testing-library

Rafael Quintanilha Rafael Quintanilha is a frontend engineer focused on developing intuitive and accessible interfaces with React. You can read Rafael's articles on rafaelquintanilha.com, a blog where he talks about technology, web development, mathematics, and whatever comes to his mind.

Recent posts:

how API client automation can save you hours in development

How API client automation can save you hours in development

Learn how OpenAPI can automate API client generation to save time, reduce bugs, and streamline how your frontend app talks to backend APIs.

Lewis Cianci
Jul 1, 2025 â‹… 7 min read
Interface Segregation Principle

SOLID series: Understanding the Interface Segregation Principle (ISP)

Discover how the Interface Segregation Principle (ISP) keeps your code lean, modular, and maintainable using real-world analogies and practical examples.

Oyinkansola Awosan
Jun 30, 2025 â‹… 7 min read
​​How HTML’s Selectedcontent Element Improves Dropdowns

​​How HTML’s <selectedcontent> element improves dropdowns

is an experimental HTML element that gives developers control over how a selected option is displayed, using just HTML and CSS.

Temitope Oyedele
Jun 27, 2025 â‹… 6 min read
advanced caching in Node.js with Valkey

How to get faster data access in Node.js with Valkey

Learn how to implement an advanced caching layer in a Node.js app using Valkey, a high-performance, Redis-compatible in-memory datastore.

Muhammed Ali
Jun 27, 2025 â‹… 7 min read
View all posts

One Reply to "Semantic tests with react-testing-library"

  1. Hi,
    Interesting article but I disagree on some aspects, here are 2 cents of mine to be added to the thinking …
    Each story needs to carry ‘acceptance criteria’ on which tests will be based.
    You don’t create your tests solely based on the story description “as a X I need to do Y so that I get Z”, and you don’t rely on the PM blindly deciding which tests are to be executed.
    How do you know 25 = 77 is representative of the test data you need to use to verify your converter result?
    What about 0, what about -1, what about 12.3 (or is it 12,3 that is accepted as valid input), what about 2.345,67 (or 2,345.67) ? How many decimals are required on the visual or during calculation? Do we use rounding or truncation?
    e.g. convert -17.77777 C to F : is that giving 1,4e-5°F as correct result ? or is it 1.399999998e-5 or 0.0000140000000001805 (sample taken from google search converter) ?
    Also you can’t skip implementation from your tests.
    Let’s imagine a developer detects numeric/alphabetic values in code by testing the keyboard key nrs, that is not good because not all keyboards have same layout and we want to test that (yes, I saw this being done by a developer)
    For ‘clear rules’, you’d maybe like to look at techniques such as equivalence partitioning, boundary value analysis, decision tree …

    Philippe.

Leave a Reply