acceptance-test-driven-development

Acceptance Test-Driven Development In A Nutshell

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.

AspectDescription
IntroductionAcceptance Test-Driven Development (ATDD), also known as Behavior-Driven Development (BDD), is an agile software development approach that focuses on defining and automating acceptance criteria from the perspective of end-users or stakeholders. It encourages collaboration among developers, testers, and business representatives to ensure that software meets desired business outcomes.
Key ConceptsAcceptance Criteria: ATDD emphasizes the creation of clear and specific acceptance criteria that describe the desired behavior and outcomes of a feature or user story.
Collaboration: ATDD encourages collaboration between cross-functional teams, including developers, testers, and business stakeholders.
Automation: Automated tests are an integral part of ATDD to validate whether the software meets the defined acceptance criteria.
ATDD ProcessThe ATDD process typically involves the following steps:
Discovery: Business representatives, developers, and testers collaborate to identify and define acceptance criteria.
Formalization: The acceptance criteria are formalized into test cases that can be automated.
Implementation: Developers write code to implement the feature or user story, taking the acceptance criteria into account.
Validation: Automated tests are executed to validate whether the software meets the acceptance criteria.
Feedback and Refinement: Any discrepancies or failures are addressed, and the process iterates as needed.
ApplicationsATDD is applied in various software development contexts, including:
Web and Mobile Applications: ATDD ensures that web and mobile apps meet user expectations.
Software Products: It is used in the development of software products, including commercial and open-source projects.
Enterprise Solutions: ATDD helps ensure that custom enterprise solutions align with business requirements.
Agile Environments: It is commonly employed in agile development teams and Scrum projects.
Challenges and ConsiderationsChallenges in implementing ATDD include:
Collaboration: Effective collaboration among diverse team members can be challenging, especially when geographically distributed.
Test Automation: Developing and maintaining automated tests can require significant effort.
Understanding Acceptance Criteria: Ensuring that acceptance criteria are clear and accurately reflect business needs is essential.
Future TrendsFuture trends related to ATDD may include:
AI-Driven Testing: Integration of artificial intelligence and machine learning for smarter test automation and analysis.
Shift-Left Testing: A greater emphasis on moving testing activities earlier in the development process.
Integration with DevOps: Closer integration of ATDD practices with DevOps for continuous delivery and deployment.
Non-Functional Testing: Expanding ATDD to include non-functional requirements like performance, security, and accessibility.
ConclusionAcceptance Test-Driven Development (ATDD) is an agile approach that places strong emphasis on defining and automating acceptance criteria to ensure software aligns with business expectations. It fosters collaboration among development, testing, and business teams and is applied in various software development contexts. While challenges exist, ATDD remains a valuable practice for delivering high-quality software that meets user needs.

Understanding Acceptance Test-Driven Development

Here, acceptance tests are generated through collaboration between what are known as the “three amigos”, including: 

  1. The customer – what problem is the organization trying to solve?
  2. The developer – how might the problem be solved?
  3. The tester – who considers and verifies potential solutions.

Ultimately, the collaboration seen in Acceptance Test-Driven Development allows software development teams to meet acceptance criteria.

When new features are created, one or more acceptance-level tests are written before the code itself is written.

Following this process, development teams can test code based on certain conditions, triggers, or requirements supported by each of the three amigos.

Only after acceptance is attained should the code be refined to meet quality standards.

Another way to think about ATDD is that the developer writes just enough code to meet the required functionality and pass the acceptance test.

This means that the ATDD methodology gives instant feedback on whether the various stages of product development are meeting customer needs.

An example of a typical ATDD process

Following is a typical ATDD process explained in four distinct stages:

Define user stories

What does the user expect to see once the product has been developed?

A user story is an end goal as opposed to a product feature and must be expressed from the perspective of the user.

Each should be an informal and general description of no more than a few sentences.

Establish acceptance test criteria

User stories then drive the creation of acceptance test criteria.

Each test should incorporate criteria that encompass a broad range of potential scenarios and detail how the system might respond to each.

Automate the tests

Tests are turned into an executable format by using tools such as FitNesse, Concordion, and Cucumber.

Implement the criteria as the basis of product development

Teams may choose to use the developer-centric TDD model to refine code until a test is passed.

In passing these tests, it’s important to reiterate that no more effort be expended than necessary.

Benefits of ATDD

Increased efficiency

Studies have shown that teams using the ATDD process saw rework decrease from 60% to 20%.

In other words, productivity doubled because the time available for developing new features climbed from 40% to 80%.

Enhanced collaboration

Which begins with the definition of user stories and ends with code meeting acceptance criteria.

With product owners, consumers, analysts, testers, and developers involved in every step of the process, there is a higher probability that performance and other standards are achieved.

Faster problem resolution

During ATDD, acceptance testing is not an isolated activity performed before rollout.

Instead, the code is checked and rechecked with input from key stakeholders to ensure that it meets expectations.

This encourages the identification and resolution of issues as they occur.

ATDD vs. TDD

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.

A test-driven development approach starts by adding a test unit to the test suite.

An acceptance test-driven development approach balances out customers, developers, and testers to define the success of a test.

Case studies

  • E-commerce Website:
    • User Stories: Define user stories for features like shopping carts, payment gateways, or product recommendations.
    • Acceptance Criteria: Collaborate with stakeholders to establish acceptance criteria, such as seamless payment processing, order tracking, and user-friendly interfaces.
    • Automated Tests: Develop automated tests to verify that users can add items to the cart, complete transactions, and receive order confirmation.
    • Implementation: Write code for e-commerce features, ensuring they pass the acceptance tests.
    • Benefits: High-quality website with features that meet user expectations, leading to increased sales and customer satisfaction.
  • Software as a Service (SaaS):
    • User Stories: Create user stories for new software updates or features, defining user needs and expectations.
    • Acceptance Criteria: Collaborate with product owners to establish acceptance criteria, including functionality, security, and performance.
    • Automated Tests: Develop automated tests to validate that the software changes align with acceptance criteria and don’t introduce defects.
    • Implementation: Implement software updates while continuously running acceptance tests to ensure compliance.
    • Benefits: Reliable and secure SaaS solutions with minimal disruptions, satisfying existing users and attracting new customers.
  • Agile Development Teams:
    • User Stories: Agile teams prioritize user stories, ensuring that each story has well-defined acceptance criteria.
    • Acceptance Criteria: Collaborate with product owners and stakeholders to detail acceptance criteria, ensuring shared understanding.
    • Automated Tests: Develop automated tests corresponding to user stories and criteria.
    • Implementation: Develop and test features iteratively, using ATDD to validate that each story is completed as expected.
    • Benefits: Agile teams deliver features that align with user needs, fostering customer satisfaction and efficient development.
  • Financial Software:
    • User Stories: Define user stories for financial software features, such as transactions, reporting, and compliance.
    • Acceptance Criteria: Collaborate with financial experts to establish acceptance criteria, including data accuracy and regulatory compliance.
    • Automated Tests: Develop automated tests to validate transaction processing, reporting accuracy, and security measures.
    • Implementation: Implement and maintain financial software, ensuring that it meets industry standards and legal requirements.
    • Benefits: Highly secure and compliant financial software, providing accurate data and building trust with users.
  • Mobile App Development:
    • User Stories: Create user stories for mobile app features, including user interfaces, functionality, and performance.
    • Acceptance Criteria: Collaborate with designers and product managers to define acceptance criteria, focusing on usability and responsiveness.
    • Automated Tests: Develop automated tests for app features, including navigation, data input, and error handling.
    • Implementation: Develop and update mobile apps, using ATDD to maintain user-friendly experiences.
    • Benefits: Mobile apps with excellent usability, minimizing user frustration and ensuring positive reviews.

Key takeaways

  • Acceptance Test-Driven Development is a methodology advocating communication between customers, developers, and testers.
  • Acceptance Test-Driven Development stipulates that user stories are determined before any code is written. After user stories have been defined, code should be created according to certain user story criteria.
  • Acceptance Test-Driven Development increases efficiency and collaboration in development teams. The iterative nature of the ATDD process also facilitates faster problem resolution.

Key Highlights

  • Definition of ATDD: Acceptance Test-Driven Development (ATDD) is an agile methodology that emphasizes writing automated tests from the user’s perspective. Unlike Test-Driven Development (TDD), where tests are written from the developer’s perspective, ATDD focuses on tests from various user perspectives.
  • Collaborative Approach:
    • Collaboration involves the “three amigos”:
      • Customer: Defines the problem the organization aims to solve.
      • Developer: Considers possible solutions.
      • Tester: Verifies and tests potential solutions.
    • Collaboration ensures acceptance criteria are met.
  • ATDD Process:
    • Define User Stories: Create user-focused end goals.
    • Establish Acceptance Test Criteria: Develop tests covering a range of scenarios.
    • Automate Tests: Use tools like FitNesse, Concordion, or Cucumber to turn tests into executable formats.
    • Implement Criteria: Develop the product based on acceptance criteria.
  • Benefits of ATDD:
    • Increased Efficiency: ATDD reduces rework, increasing productivity and allowing more time for new feature development.
    • Enhanced Collaboration: Involving various stakeholders leads to better performance and standards achievement.
    • Faster Problem Resolution: Continuous input from stakeholders identifies and resolves issues early in the development process.
  • ATDD vs. TDD:
    • ATDD: Focuses on user perspectives, involves collaboration among “three amigos,” and aligns development with user stories and criteria.
    • TDD: Begins with writing a failing test unit before writing code, emphasizing short development cycles.
  • Key Takeaways:
    • ATDD promotes communication between customers, developers, and testers.
    • User stories are defined first, guiding code creation based on story criteria.
    • ATDD improves efficiency, collaboration, and problem resolution in development.
    • ATDD balances perspectives to ensure user-focused success criteria.

Who are the "three amigos" in the acceptance test-driven development?

The three amigos in the acceptance test-driven development are:

  1. The customer – what problem is the organization trying to solve?
  2. The developer – how might the problem be solved?
  3. The tester – who considers and verifies potential solutions.

What is the difference between test driven development and acceptance test driven development?

TDD is a test-driven technique for delivering high-quality software rapidly and sustainably, and it’s based on the test unit to the test suite, whereas acceptance test-driven development uses acceptance tests as the foundation for the testing framework.

Connected Agile & Lean 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.

AgileSHIFT

AgileSHIFT
AgileSHIFT is a framework that prepares individuals for transformational change by creating a culture of agility.

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 Program Management

agile-program-management
Agile Program Management is a means of managing, planning, and coordinating interrelated work in such a way that value delivery is emphasized for all key stakeholders. Agile Program Management (AgilePgM) is a disciplined yet flexible agile approach to managing transformational change within an organization.

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.

Agile Leadership

agile-leadership
Agile leadership is the embodiment of agile manifesto principles by a manager or management team. Agile leadership impacts two important levels of a business. The structural level defines the roles, responsibilities, and key performance indicators. The behavioral level describes the actions leaders exhibit to others based on agile principles. 

Andon System

andon-system
The andon system alerts managerial, maintenance, or other staff of a production process problem. The alert itself can be activated manually with a button or pull cord, but it can also be activated automatically by production equipment. Most Andon boards utilize three colored lights similar to a traffic signal: green (no errors), yellow or amber (problem identified, or quality check needed), and red (production stopped due to unidentified issue).

Bimodal Portfolio Management

bimodal-portfolio-management
Bimodal Portfolio Management (BimodalPfM) helps an organization manage both agile and traditional portfolios concurrently. Bimodal Portfolio Management – sometimes referred to as bimodal development – was coined by research and advisory company Gartner. The firm argued that many agile organizations still needed to run some aspects of their operations using traditional delivery models.

Business Innovation Matrix

business-innovation
Business innovation is about creating new opportunities for an organization to reinvent its core offerings, revenue streams, and enhance the value proposition for existing or new customers, thus renewing its whole business model. Business innovation springs by understanding the structure of the market, thus adapting or anticipating those changes.

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.

Constructive Disruption

constructive-disruption
A consumer brand company like Procter & Gamble (P&G) defines “Constructive Disruption” as: a willingness to change, adapt, and create new trends and technologies that will shape our industry for the future. According to P&G, it moves around four pillars: lean innovation, brand building, supply chain, and digitalization & data analytics.

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.

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.

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.

Gemba Walk

gemba-walk
A Gemba Walk is a fundamental component of lean management. It describes the personal observation of work to learn more about it. Gemba is a Japanese word that loosely translates as “the real place”, or in business, “the place where value is created”. The Gemba Walk as a concept was created by Taiichi Ohno, the father of the Toyota Production System of lean manufacturing. Ohno wanted to encourage management executives to leave their offices and see where the real work happened. This, he hoped, would build relationships between employees with vastly different skillsets and build trust.

GIST Planning

gist-planning
GIST Planning is a relatively easy and lightweight agile approach to product planning that favors autonomous working. GIST Planning is a lean and agile methodology that was created by former Google product manager Itamar Gilad. GIST Planning seeks to address this situation by creating lightweight plans that are responsive and adaptable to change. GIST Planning also improves team velocity, autonomy, and alignment by reducing the pervasive influence of management. It consists of four blocks: goals, ideas, step-projects, and tasks.

ICE Scoring

ice-scoring-model
The ICE Scoring Model is an agile methodology that prioritizes features using data according to three components: impact, confidence, and ease of implementation. The ICE Scoring Model was initially created by author and growth expert Sean Ellis to help companies expand. Today, the model is broadly used to prioritize projects, features, initiatives, and rollouts. It is ideally suited for early-stage product development where there is a continuous flow of ideas and momentum must be maintained.

Innovation Funnel

innovation-funnel
An innovation funnel is a tool or process ensuring only the best ideas are executed. In a metaphorical sense, the funnel screens innovative ideas for viability so that only the best products, processes, or business models are launched to the market. An innovation funnel provides a framework for the screening and testing of innovative ideas for viability.

Innovation Matrix

types-of-innovation
According to how well defined is the problem and how well defined the domain, we have four main types of innovations: basic research (problem and domain or not well defined); breakthrough innovation (domain is not well defined, the problem is well defined); sustaining innovation (both problem and domain are well defined); and disruptive innovation (domain is well defined, the problem is not well defined).

Innovation Theory

innovation-theory
The innovation loop is a methodology/framework derived from the Bell Labs, which produced innovation at scale throughout the 20th century. They learned how to leverage a hybrid innovation management model based on science, invention, engineering, and manufacturing at scale. By leveraging individual genius, creativity, and small/large groups.

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.

Minimum Viable Product

minimum-viable-product
As pointed out by Eric Ries, a minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort through a cycle of build, measure, learn; that is the foundation of the lean startup methodology.

Leaner MVP

leaner-mvp
A leaner MVP is the evolution of the MPV approach. Where the market risk is validated before anything else

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.

Jidoka

jidoka
Jidoka was first used in 1896 by Sakichi Toyoda, who invented a textile loom that would stop automatically when it encountered a defective thread. Jidoka is a Japanese term used in lean manufacturing. The term describes a scenario where machines cease operating without human intervention when a problem or defect is discovered.

PDCA Cycle

pdca-cycle
The PDCA (Plan-Do-Check-Act) cycle was first proposed by American physicist and engineer Walter A. Shewhart in the 1920s. The PDCA cycle is a continuous process and product improvement method and an essential component of the lean manufacturing philosophy.

Rational Unified Process

rational-unified-process
Rational unified process (RUP) is an agile software development methodology that breaks the project life cycle down into four distinct phases.

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.

Retrospective Analysis

retrospective-analysis
Retrospective analyses are held after a project to determine what worked well and what did not. They are also conducted at the end of an iteration in Agile project management. Agile practitioners call these meetings retrospectives or retros. They are an effective way to check the pulse of a project team, reflect on the work performed to date, and reach a consensus on how to tackle the next sprint cycle. These are the five stages of a retrospective analysis for effective Agile project management: set the stage, gather the data, generate insights, decide on the next steps, and close the retrospective.

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.

SMED

smed
The SMED (single minute exchange of die) method is a lean production framework to reduce waste and increase production efficiency. The SMED method is a framework for reducing the time associated with completing an equipment changeover.

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.

Scrumban

scrumban
Scrumban is a project management framework that is a hybrid of two popular agile methodologies: Scrum and Kanban. Scrumban is a popular approach to helping businesses focus on the right strategic tasks while simultaneously strengthening their processes.

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.

Six Sigma

six-sigma
Six Sigma is a data-driven approach and methodology for eliminating errors or defects in a product, service, or process. Six Sigma was developed by Motorola as a management approach based on quality fundamentals in the early 1980s. A decade later, it was popularized by General Electric who estimated that the methodology saved them $12 billion in the first five years of operation.

Stretch Objectives

stretch-objectives
Stretch objectives describe any task an agile team plans to complete without expressly committing to do so. Teams incorporate stretch objectives during a Sprint or Program Increment (PI) as part of Scaled Agile. They are used when the agile team is unsure of its capacity to attain an objective. Therefore, stretch objectives are instead outcomes that, while extremely desirable, are not the difference between the success or failure of each sprint.

Toyota Production System

toyota-production-system
The Toyota Production System (TPS) is an early form of lean manufacturing created by auto-manufacturer Toyota. Created by the Toyota Motor Corporation in the 1940s and 50s, the Toyota Production System seeks to manufacture vehicles ordered by customers most quickly and efficiently possible.

Total Quality Management

total-quality-management
The Total Quality Management (TQM) framework is a technique based on the premise that employees continuously work on their ability to provide value to customers. Importantly, the word “total” means that all employees are involved in the process – regardless of whether they work in development, production, or fulfillment.

Waterfall

waterfall-model
The waterfall model was first described by Herbert D. Benington in 1956 during a presentation about the software used in radar imaging during the Cold War. Since there were no knowledge-based, creative software development strategies at the time, the waterfall method became standard practice. The waterfall model is a linear and sequential project management framework. 

Read Also: Continuous InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Read Next: Agile Methodology, Lean Methodology, Agile Project Management, Scrum, Kanban, Six Sigma.

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