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Major Changes In Software Development Methodologies Over The Last Two Decades

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By Author: Indu kumari
Total Articles: 18
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Over the past two decades, the software development industry has experienced a seismic shift. At one point in time, most software development organizations preferred rigid, linear approaches. In recent years, such methods have given way to more supple, iterative models.

Newer methodologies have emerged that enable developers to keep pace with the fast technological progressions and ever-changing market demands.

Within the domain of software development, some of the most crucial changes have taken place in the last few years. Let’s explore those changes here.

The Rise of Agile Methodologies
Agile methodologies came to the fore in 2001. Ever since then, they have copiously transformed the way software products are constructed. Some of the most widespread Agile methodologies include

Extreme Programming (XP)
Scrum,
Kanban
Agile focused on iterative development, improved customer collaboration, and better receptiveness to change.

Such a shift allowed teams to:

Bring working software applications more regularly.
Familiarize quickly with the changing requirements.
...
... Encourage close collaboration between the developers, end-users, and stakeholders.
The Emergence of DevOps
Once Agile took hold, it became clear that continuous collaboration and partnership between the development and operations teams were essential. It led to the birth of DevOps, a technological innovation that bridges the gap between IT operations and development. It encourages Continuous Delivery (CD), Continuous Integration (CI), and automated testing to transform the software delivery pipelines.

Key benefits of DevOps include:

Faster placement cycles.
Better collaboration between the teams.
Greater system scalability
Reliability.
Shift from Monolithic Architecture to Microservices Architecture
Over the last 20 years, software architecture has shifted from monolithic designs, where all the components were firmly coupled, to microservices architecture. Microservices break the applications into smaller, individualistically deployable services or components that connect through APIs.

This change has enabled:

Greater scalability
Resilience.
Easier maintenance and updates.
Faster development cycles occur as teams can work on multiple services simultaneously.
Technologies like Kubernetes, Docker, and serverless computing have accelerated the overall adoption of microservices.

The Influence of Lean Principles
Lean Software Development is a methodology derived from Lean manufacturing. It emphasizes continuous learning, waste elimination, and delivering the highest value to customers. Practices like Kanban boards and Value Stream Mapping are indispensable to Lean Software Development and help optimize workflows and improve competence.

Integration of AI and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) have introduced new dimensions to software development, with these technologies growing in prominence. Modern software development methodologies now incorporate AI-driven tools for:

Automated code generation
Debugging.
Predictive analytics for project management.
Enhancing user experiences by working with intelligent applications.
Remote and Distributed Software Development Teams
Today, remote and distributed software development has become a prevalent practice. Communication and collaboration tools have enabled software developers to work impeccably across diverse locations and time zones. Thanks to tools like Slack, Zoom, and Microsoft Teams. It allowed software development firms to hire the best minds to work with them irrespective of where they are based.

Hyderabad india online (HIOC) is a website about Hyderabad city in India that publishes information, updates, tips, and practical insights on Hyderabad markSets, real estate, maps etc. The Hyderabad information section and business limelight series of HIOC are popular. Some content published in this website is in collaboration with Marvist Digital Marketing.

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