test-driven-development

Test-Driven Development In A Nutshell

As the name suggests, TDD is a test-driven technique for delivering high-quality software rapidly and sustainably. It is an iterative approach based on the idea that a failing test should be written before any code for a feature or function is written. Test-Driven Development (TDD) is an approach to software development that relies on very short development cycles.

Understanding Test-Driven Development

Test-Driven Development has had a significant influence on software design, with a particular focus on non-functional requirements such as usability, security, and maintainability.

These small tests allow developers to design systems from scratch, adding value rapidly and increasing confidence in the system itself.

A typical Test-Driven Development cycle

TDD invariably follows the “Red-Green-Refactor” cycle, described as follows:

  • Start by adding a test unit to the test suite. This test unit should describe an aspect of the program. 
  • (Red) Run all tests, which should fail because the program lacks that feature.
  • (Green) Write just enough code in the simplest way possible to enable the test to pass. This step is sometimes called “make it pass”.
  • Run all tests once again.
  • (Refactor) Enhance the original code while keeping tests green. Ensure that a focus on simplicity is maintained.
  • Repeat and accumulate unit tests over time.

Strengths and weaknesses of TDD

Strengths

Increased code quality resulting from the reduction in defects and errors

TDD forces developers to consider the purpose and specification of code.

It also helps developers simplify code writing and avoid complex code that can harbor bugs.

Lastly, TDD refactoring ensures that code changes or new code do not impact the integrity of the existing code.

Reduction in batch size

In other agile methodologies, developers work on a feature until completion with little input from others.

TDD encourages the developer to reduce the batch size to improve project visibility, flexibility, and stakeholder collaboration.

Ultimately, this also makes TDD a customer-centric agile process.

Encourages high developer morale

On occasion, developers become demoralized in the face of large and complex projects.

TDD distills large projects into many smaller pieces that deliver quick and relatively easy wins for the developer.

In addition to improving morale and confidence, the developer knows what has been completed and what work remains to be completed.

Weaknesses

May take more time to implement initially

Programmers who have become accustomed to writing code that can be run immediately may find TDD slow and difficult to implement.

The same can be said for programmers who have never written tests in the first place.

However, any perceived slowness is an illusion at best.

Although TDD may take some getting used to, it does deliver significant benefits to efficiency as development progresses.

Poorly maintained or abandoned test suites

A lack of test suite maintenance can lead to a TDD cycle with a prohibitively long running time.

Test suites may be also be abandoned or seldom run because of poor maintenance or changes to team composition.

Test-driven development example

In the following test-driven development example, consider a user management system enabling new customers to create a username and password for future authentication.

For the username and password to be valid, certain business rules should be followed.

To analyze multiple rules would be beyond the scope of this article, so for the sake of brevity, we will describe one rule that validates the minimum length of the password.

Let’s also assume that the company is stringent on security and requires the password to be at least 12 characters.

With this rule defined, we can now create our tests and code accordingly using a language such as Java or Python.

Step 1 – Write a failing test case

The development team starts by writing the code for a failing test case. In this example, they assert that if the length of a password entered by the user is 7 characters, then they should receive an error message.

This can simply read as follows: “Length of password must be at least 12 characters.

To achieve this, the team calls a function “ValidatePassword” which takes a string argument.

The function also becomes part of a class called “ValidatorService” which is initiated in the setUp function of the test class.

Step 2 – Run the unit test

The team then runs the test but receives an error because it has not yet created the “ValidatorService” class.

The class is created and the test is run once more.

Remember that test-driven development requires that the team write just enough code so that the failing test passes.

After running the test for a second time, another error related to the test looking for the function presents itself.

The team develops a placeholder function and runs the test for the third time.

The test passes.

Step 3 – Create the code

Now it’s time to write the code for the actual functionality of the user management system.

In other words, to authenticate the length of the password and execute the test case.

The team runs a few generic test cases and each passes, but they notice as a result that there is repetition in the code.

They decide to refactor the code to maintain a focus on simplicity without impacting the viability of the test.

Since the team is using PHPUnit to write the code, they can take advantage of the “dataprovider” feature which makes the refactoring process simpler.

The team also refactors the implementation code, ensuring that after every change the test cases still pass.

At this point, more test cases can be added to validate different business rules. 

The password, for example, may require a certain number of special characters or upper case letters.

Whatever the rules that are implemented, it’s important that developers refactor the code as and when required so that problems which cause failed tests can be pinpointed with ease.

TDD vs. ATDD

acceptance-test-driven-development
Acceptance Test-Driven Development (ATDD) is a part of the agile methodology where automated tests are written from the user’s perspective. Unlike test-driven development – where acceptance tests are created from the perspective of the developer – ATDD advocates the automation of tests from the various perspectives of the user.

Whereas a test-driven development favors rapid delivery in short cycles by creating test units.

An acceptance ted-driven development approach, also part of the agile methodology, tries to balance the test with a user’s perspective in mind.

More precisely, it does that by evaluating and incorporating in the testing environment collaboration between what are known as the “three amigos” (customer, developer, and tester).

Key takeaways

  • Test-Driven Development is an agile software development approach that favors the rapid delivery of very short development cycles.
  • Fundamental to Test-Driven Development is the “Red-Green-Refactor” test cycle. TDD argues that fail tests should be conducted before any feature or function code is written.
  • Test-Driven Development increases code quality and developer morale while reducing batch sizes. However, some project teams may experience a steep initial learning curve – particularly if they are unaccustomed to the methodology.

Connected Agile Frameworks

AIOps

aiops
AIOps is the application of artificial intelligence to IT operations. It has become particularly useful for modern IT management in hybridized, distributed, and dynamic environments. AIOps has become a key operational component of modern digital-based organizations, built around software and algorithms.

Agile Methodology

agile-methodology
Agile started as a lightweight development method compared to heavyweight software development, which is the core paradigm of the previous decades of software development. By 2001 the Manifesto for Agile Software Development was born as a set of principles that defined the new paradigm for software development as a continuous iteration. This would also influence the way of doing business.

Agile Project Management

agile-project-management
Agile project management (APM) is a strategy that breaks large projects into smaller, more manageable tasks. In the APM methodology, each project is completed in small sections – often referred to as iterations. Each iteration is completed according to its project life cycle, beginning with the initial design and progressing to testing and then quality assurance.

Agile Modeling

agile-modeling
Agile Modeling (AM) is a methodology for modeling and documenting software-based systems. Agile Modeling is critical to the rapid and continuous delivery of software. It is a collection of values, principles, and practices that guide effective, lightweight software modeling.

Agile Business Analysis

agile-business-analysis
Agile Business Analysis (AgileBA) is certification in the form of guidance and training for business analysts seeking to work in agile environments. To support this shift, AgileBA also helps the business analyst relate Agile projects to a wider organizational mission or strategy. To ensure that analysts have the necessary skills and expertise, AgileBA certification was developed.

Business Model Innovation

business-model-innovation
Business model innovation is about increasing the success of an organization with existing products and technologies by crafting a compelling value proposition able to propel a new business model to scale up customers and create a lasting competitive advantage. And it all starts by mastering the key customers.

Continuous Innovation

continuous-innovation
That is a process that requires a continuous feedback loop to develop a valuable product and build a viable business model. Continuous innovation is a mindset where products and services are designed and delivered to tune them around the customers’ problem and not the technical solution of its founders.

Design Sprint

design-sprint
A design sprint is a proven five-day process where critical business questions are answered through speedy design and prototyping, focusing on the end-user. A design sprint starts with a weekly challenge that should finish with a prototype, test at the end, and therefore a lesson learned to be iterated.

Design Thinking

design-thinking
Tim Brown, Executive Chair of IDEO, defined design thinking as “a human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” Therefore, desirability, feasibility, and viability are balanced to solve critical problems.

DevOps

devops-engineering
DevOps refers to a series of practices performed to perform automated software development processes. It is a conjugation of the term “development” and “operations” to emphasize how functions integrate across IT teams. DevOps strategies promote seamless building, testing, and deployment of products. It aims to bridge a gap between development and operations teams to streamline the development altogether.

Dual Track Agile

dual-track-agile
Product discovery is a critical part of agile methodologies, as its aim is to ensure that products customers love are built. Product discovery involves learning through a raft of methods, including design thinking, lean start-up, and A/B testing to name a few. Dual Track Agile is an agile methodology containing two separate tracks: the “discovery” track and the “delivery” track.

Feature-Driven Development

feature-driven-development
Feature-Driven Development is a pragmatic software process that is client and architecture-centric. Feature-Driven Development (FDD) is an agile software development model that organizes workflow according to which features need to be developed next.

eXtreme Programming

extreme-programming
eXtreme Programming was developed in the late 1990s by Ken Beck, Ron Jeffries, and Ward Cunningham. During this time, the trio was working on the Chrysler Comprehensive Compensation System (C3) to help manage the company payroll system. eXtreme Programming (XP) is a software development methodology. It is designed to improve software quality and the ability of software to adapt to changing customer needs.

Lean vs. Agile

lean-methodology-vs-agile
The Agile methodology has been primarily thought of for software development (and other business disciplines have also adopted it). Lean thinking is a process improvement technique where teams prioritize the value streams to improve it continuously. Both methodologies look at the customer as the key driver to improvement and waste reduction. Both methodologies look at improvement as something continuous.

Lean Startup

startup-company
A startup company is a high-tech business that tries to build a scalable business model in tech-driven industries. A startup company usually follows a lean methodology, where continuous innovation, driven by built-in viral loops is the rule. Thus, driving growth and building network effects as a consequence of this strategy.

Kanban

kanban
Kanban is a lean manufacturing framework first developed by Toyota in the late 1940s. The Kanban framework is a means of visualizing work as it moves through identifying potential bottlenecks. It does that through a process called just-in-time (JIT) manufacturing to optimize engineering processes, speed up manufacturing products, and improve the go-to-market strategy.

Rapid Application Development

rapid-application-development
RAD was first introduced by author and consultant James Martin in 1991. Martin recognized and then took advantage of the endless malleability of software in designing development models. Rapid Application Development (RAD) is a methodology focusing on delivering rapidly through continuous feedback and frequent iterations.

Scaled Agile

scaled-agile-lean-development
Scaled Agile Lean Development (ScALeD) helps businesses discover a balanced approach to agile transition and scaling questions. The ScALed approach helps businesses successfully respond to change. Inspired by a combination of lean and agile values, ScALed is practitioner-based and can be completed through various agile frameworks and practices.

Spotify Model

spotify-model
The Spotify Model is an autonomous approach to scaling agile, focusing on culture communication, accountability, and quality. The Spotify model was first recognized in 2012 after Henrik Kniberg, and Anders Ivarsson released a white paper detailing how streaming company Spotify approached agility. Therefore, the Spotify model represents an evolution of agile.

Test-Driven Development

test-driven-development
As the name suggests, TDD is a test-driven technique for delivering high-quality software rapidly and sustainably. It is an iterative approach based on the idea that a failing test should be written before any code for a feature or function is written. Test-Driven Development (TDD) is an approach to software development that relies on very short development cycles.

Timeboxing

timeboxing
Timeboxing is a simple yet powerful time-management technique for improving productivity. Timeboxing describes the process of proactively scheduling a block of time to spend on a task in the future. It was first described by author James Martin in a book about agile software development.

Scrum

what-is-scrum
Scrum is a methodology co-created by Ken Schwaber and Jeff Sutherland for effective team collaboration on complex products. Scrum was primarily thought for software development projects to deliver new software capability every 2-4 weeks. It is a sub-group of agile also used in project management to improve startups’ productivity.

Scrum Anti-Patterns

scrum-anti-patterns
Scrum anti-patterns describe any attractive, easy-to-implement solution that ultimately makes a problem worse. Therefore, these are the practice not to follow to prevent issues from emerging. Some classic examples of scrum anti-patterns comprise absent product owners, pre-assigned tickets (making individuals work in isolation), and discounting retrospectives (where review meetings are not useful to really make improvements).

Scrum At Scale

scrum-at-scale
Scrum at Scale (Scrum@Scale) is a framework that Scrum teams use to address complex problems and deliver high-value products. Scrum at Scale was created through a joint venture between the Scrum Alliance and Scrum Inc. The joint venture was overseen by Jeff Sutherland, a co-creator of Scrum and one of the principal authors of the Agile Manifesto.

Read Also: Business Models Guide, Sumo Logic Business Model, Snowflake

InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Read Next: Business AnalysisCompetitor Analysis, Continuous InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Main Free Guides:

Scroll to Top
FourWeekMBA