World Congress 2021 • Jun 30, 2021

Test Driven Development with JavaScript

Sascha Depold , Parinaz Roghany

Tired of manual QA slowing down your deployment pipelines? Master the red-green-refactor cycle with Mocha and Chai to build predictable, well-isolated JavaScript applications.

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#1 about 3 min

Workshop overview and testing agenda

Structuring the test-driven development session establishes clear objectives for automated logic verification.

#2 about 2 min

Defining manual and automated testing

Testing is the process of verifying expectations through manual interaction or automated processes.

#3 about 2 min

Different forms of software testing

Separating software verification into unit, integration, and end-to-end strategies ensures targeted code assurance.

#4 about 3 min

Business and development benefits of testing

Automated tests ensure product health, prevent regressions, and simplify the onboarding process.

#5 about 2 min

Understanding test-driven development strategies

Test-driven development relies on converting specifications into machine-readable verification logic before writing implementation code.

#6 about 3 min

Tools for test structures and assertions

Testing requires tools combining execution structural runners with assertion libraries to verify outcomes.

#7 about 3 min

Introduction to the Fibonacci sequence

The Fibonacci sequence provides a useful numerical pattern for practicing unit test cases.

#8 about 4 min

Planning unit tests with red-green refactoring

Writing initial failing tests to establish expectations prior to implementing functions ensures code accuracy.

#9 about 4 min

Identifying edge cases for function parameters

Gathering invalid input scenarios such as negative numbers and text strings validates robust error handling.

#10 about 4 min

Repository setup and project structure

Cloning the project repository prepares the local codebase for establishing functional test suites.

#11 about 3 min

Formatting unit tests with Mocha and Chai

Structuring automated tests utilizing describe blocks and targeted assertions isolates variable behaviors securely.

#12 about 7 min

Writing standard functional test cases

Evaluating positive test scenarios mathematically validates standard sequence progressions and baseline behaviors.

#13 about 5 min

Implementing tests for error conditions

Checking functional rejections mandates explicit assertions capturing invalid types and improper parameters safely.

#14 about 5 min

Implementing logic to pass failing tests

Translating algorithmic expectations into logic blocks satisfying unit verifications cements mathematical functions accurately.

#15 about 3 min

Resolving performance blocks in recursive functions

Computing expansive test sequences natively exposes strict recursion limits and execution blockages rapidly.

#16 about 4 min

Finalizing logic for edge case inputs

Appending explicit input validations checking for unparseable data ensures functional stability during runtime.

#17 about 3 min

Optimizing code execution with local caching

Bypassing recursive processing overloads requires dynamic memory caching and handling oversized numeric variables.

#18 about 4 min

Applying test-driven principles to APIs

Constructing server endpoint tests establishes functional validations parallel to independent controller behaviors safely.

#19 about 7 min

Configuring Supertest for Express frameworks

Running targeted endpoint evaluations demands bootstrapping isolated web application instances without port conflicts.

#20 about 7 min

Drafting the API endpoint testing suite

Writing validation checks ensures HTTP calls reflect accurate status conditions and expected payload contents.

#21 about 6 min

Handling invalid external requests gracefully

Creating robust HTTP endpoints requires explicit exception handling mechanisms catching unprocessable external payloads.

#22 about 2 min

Isolating tests from network dependencies

Executing unit commands natively necessitates functional disconnections from unstable external network layers.

#23 about 7 min

Mocking implementation controllers using Sinon

Replacing complex internal mechanisms using software mockups provides persistent reliable outputs during cycles.

#24 about 8 min

Intercepting low level HTTP requests using Nock

Overriding low-level network protocol modules simulates distant connectivity variables preventing live network disruptions.

#25 about 2 min

Workshop recap and core testing takeaways

Solidifying integration boundaries separates core algorithmic responsibilities from dynamic external system variables correctly.

#26 about 4 min

Determining test priority in frontend architectures

Structuring frontend verifications poses complexity barriers requiring strategic boundary restrictions limiting browser variables.

#27 about 4 min

Business justification for complete test coverage

Instituting robust testing pipelines unlocks automated deployment speeds bypassing rigid manual code approvals.

#28 about 5 min

Further resources for software testing patterns

Expanding architectural testing techniques incorporates behavior-driven practices streamlining product requirement handoffs securely.

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