SEARCH (ENTER TO SEE ALL RESULTS)
Cancel Search
POPULAR TOPICS
Contributed
sponsored-post-contributed
News
Analysis
The New Stack Makers
Tutorial
Podcast
Feature
Research
Profile
The New Stack Logo
Skip to content
  • Podcasts
  • Events
  • Ebooks
    • DevOps
    • DevSecOps
    • Docker Ecosystem
    • Kubernetes Ecosystem
    • Microservices
    • Observability
    • Security
    • Serverless
    • Storage
    • All Ebooks
  • Newsletter
  • Sponsorship
  • • • •
    • Podcasts
      • TNS @Scale Series
      • TNS Analysts Round Table
      • TNS Context Weekly News
      • TNS Makers Interviews
      • All Podcasts
    • Events
    • Ebooks
      • DevOps
      • DevSecOps
      • Docker Ecosystem
      • Kubernetes Ecosystem
      • Microservices
      • Observability
      • Security
      • Serverless
      • Storage
      • All Ebooks
    • Newsletter
    • Sponsorship
Skip to content
  • Architecture
    • Cloud Native
    • Containers
    • Edge/IoT
    • Microservices
    • Networking
    • Serverless
    • Storage
  • Development
    • Development
    • Cloud Services
    • Data
    • Machine Learning
    • Security
  • Operations
    • CI/CD
    • Culture
    • DevOps
    • Kubernetes
    • Monitoring
    • Service Mesh
    • Tools
Search The New Stack
 

Software Development

▾ 5 MINUTE READ — CLOSE

Programming languages have driven all computing for a while, but cloud-native computing has certain requirements that some languages are better than others at fulfilling. Software development promotes the creation of tools that are compatible with technological advancements.
What Is Software Development?
Software development is a combination of computer activities that involve creating codes, designing, and deploying programs for user satisfaction.
Software Development Methodologies
Multiple methods are adopted in software development, but organizations usually take four common approaches — Agile, DevOps deployment, Waterfall, and Rapid Application Development methodology.
Agile Development Methodology
The Agile methodology centers around the iterative development concept. Teams write codes in iterations, and each process has added software functionality. The Agile development methodology helps minimize risks, such as changing requirements, bugs, and other threats when expanding functionality.

The Agile methodology has various subsets, such as feature-driven development (FDD), scrum, crystal, and extreme programming (XP). Agile processes encourage constant inspection and adaptation, making project management, leadership, and teamwork easy.

Although Agile development is one of the best software engineering practices, the process relies on real-time communication and a significant time commitment from teams.
DevOps Deployment Methodology
The DevOps methodology is more than just a development approach. DevOps centers around organizational culture and change. This methodology fosters collaboration between all teams that are part of the software development lifecycle (SDLC), such as quality assurance, development, and operations.

The DevOps approach reduces the failure rate of new code releases and increases reliability. This capability shortens the time required for fixes and minimizes disruption. Teams using the DevOps methodology can implement continuous integration and delivery processes for maximum efficiency.

DevOps deployment may not be best suited for customers that do not want continuous updates to their systems or teams that cannot meet the complex testing required in some industries.
Waterfall Development Methodology
Unlike Agile, the waterfall methodology follows sequential phases where each phase must be completed before the next begins. This methodology is often considered a traditional one, as it is rigid, with little room for modifications and changes. The Waterfall methodology is easy to manage as the focus is on one goal at a time, but it is often slow and can be costly to implement.
Rapid Application Development (RAD) Methodology
The Rapid Application Development methodology is best for fast-paced environments and time-sensitive projects. The RAD approach often follows four processes — requirement planning, user design, rapid construction, and cutover.

This methodology requires highly skilled and dedicated teams to work with a condensed timeline and receive approval after each construction process. Organizations with well-defined user groups and business objectives can enjoy all the benefits of the RAD methodology.
Phases of the Software Development Lifecycle
The software development lifecycle (SDLC) enables prior planning and proper management of resources.

Most SDLCs occur in phases that mirror the following process:

Planning. As the name implies, the planning phase is where project managers and software development engineers prepare for the upcoming project. Here, team leaders create an outline for the project, highlighting time frames and distributing resources, based on the business objectives. This phase allows software developers to catch theoretical errors before development begins.
Defining Requirements. Project managers define elements that are fundamental to the success of the development process. Lead developers highlight the overall objective, which must be achieved during the development process, as well as sub-elements that are essential to the project. For example, a payment platform would require the ability to receive card information.
Design. This phase often comes right before actual code is written. It’s a prototype of the end product that application software developers can reference during other phases. Designs cover the overall outlook of the project and include specifics such as databases, system interfaces, network requirements, and user interfaces.
Development. The actual codes are written and built during development, based on the outline created in the design phase. Small projects may have one developer, but bigger commercial projects often have multiple development teams. Tools such as debuggers, interpreters, and compilers are used in the development phase.
Testing. Before an application is made available to end-users, it needs to go through a series of tests to ensure that it meets compliance requirements, functions properly, and is free from bugs. The testing process is often automated and done in a simulated production environment that mirrors how the end-user interacts with the program.
Implementation and Deployment. At this phase, the code is made available to end-users as a new product or update of existing code.
Maintenance. This phase takes place at the end of the development cycle. Some bugs or issues that software developers did not detect during testing are fixed during use. If the development is part of an iterative cycle, plans are made for the new process, and the SDLC begins again.

How to Improve the Software Development Process
The software development lifecycle helps teams manage development architecture and clearly understand timelines. This process helps create a smooth development exercise but is not without drawbacks.

Here are some ways organizations can improve their custom software development process:

Choose a suitable SDLC model. The method a developer chooses affects the software development process. For example, a time-sensitive project adopting the Waterfall model leaves room for many risks such as the inability to identify bottlenecks until deployment.
Define what “complete” is. In software development, many teams are often working on different parts of the code for a single project. This workflow results in different timelines, with some groups depending on others. When there is a clear definition of a finished task, teams are synchronized, and there are fewer hiccups.
Establish clear communication. Good communication practices improve the development process because different teams — development and operations — can collaborate effectively on set goals.

Get the Latest Development News on The New Stack
At The New Stack, we don’t cover browser development — like Java — unless it is for some tools to retrofit enterprise Java applications into cloud-native environments. We monitor developments in areas such as:

 

Web Assembly (WASM), which could bring untold speed and scalability to the client side.
JavaScript, including its many frameworks, libraries, and associated projects that promise development scalability. An example is TypeScript, which brings the full rigor of static typing to the browser language.
Developments in Python, given that it is quickly becoming the de facto language of choice for data scientists and practitioners of machine learning.
Go, which we sometimes refer to as “Golang.” Created at Google, Go offers a friendly environment for system programming, especially in cloud infrastructure environments.
Rust (“Rustling”) offers both the speed of close-to-the-metal languages such as C++, with the safety guarantees built-in to prevent many of the vulnerabilities that crop up in older languages.

In addition to programming languages themselves, we will also keep you up to date on the latest and best development tools, including IDEs, scaffolding, and testing tools. For the development lifecycle, be sure to bookmark our microsite on CI/CD.

Check out “This Week in Programming,” our weekly wrap-up of all the latest development news.


The New Stack Newsletter Sign-Up
A newsletter digest of the week’s most important stories & analyses.
Do you also want to be notified of the following?
We don’t sell or share your email. By continuing, you agree to our Terms of Use and Privacy Policy.
Open Source / Serverless / Software Development
The Shuttering of Facebook Parse and the Future of Mobile Backend-as-a-Service
5 Feb 2016 10:31am, by Kiran Oliver
API Management / CI/CD / Software Development / Tools
How API Aggregators Help Business Units Build Automated Workflows, Bypass IT
2 Feb 2016 12:03pm, by Mark Boyd
Software Development
NodeSource’s N|Solid Brings Enterprise-Level Monitoring to Node.js
1 Feb 2016 1:51pm, by Kiran Oliver
Containers / Open Source / Software Development
TNS Research: How Many Company Developers Should Work on Open Source?
1 Feb 2016 9:25am, by Lawrence E Hecht
https://cdn.thenewstack.io/media/2016/01/PodcastBrandingOverlay_TNS_Tutorials.svg
Containers / Software Development / Sponsored
Video: Run Vagrant and Docker from Komodo
27 Jan 2016 2:12pm, by Kiran Oliver
Cloud Services / Containers / Data Science / Software Development
TNS Research: How the IT Landscape is Shifting to Accommodate Containers
26 Jan 2016 8:53am, by Lawrence E Hecht
Culture / Software Development
TrumpScript Wants to Make Python Great Again
23 Jan 2016 6:39pm, by David Cassel
Open Source / Software Development
Apache Sets Out On a Geospatial Voyage
22 Jan 2016 12:27pm, by Susan Hall
Containers / Data Science / Kubernetes / Observability / Software Development
Meros’ Container Monitor Plots to be a ‘Complete GUI’ for Docker
21 Jan 2016 11:07am, by Kiran Oliver
Cloud Services / Serverless / Software Development
Apex Makes AWS Lambda Easy Peasy for Programmers
19 Jan 2016 9:02am, by Joab Jackson
Security / Software Development
Google Go, OpenSSH Both Need Prompt Patching for Encryption Leaks
14 Jan 2016 12:36pm, by Joab Jackson
CI/CD / Cloud Native Ecosystem / Containers / Kubernetes / Software Development
Crossing the Ocean with Containers
12 Jan 2016 2:36pm, by Jeff Sussna
CI/CD / Software Development
Ansible Settles into Red Hat, Debuts No-Wait Scheduling
12 Jan 2016 10:32am, by Susan Hall
Software Development
Vector Images Come to Android: What Devs Need to Know
11 Jan 2016 2:07pm, by Aaron Nwabuoku
Open Source / Software Development
Google’s Android N Will Move to the OpenJDK
8 Jan 2016 12:09pm, by Aaron Nwabuoku
Culture / Open Source / Software Development / Sponsored
Enterprises and Open Source: The Important Role of Commercial Distributions
6 Jan 2016 1:25pm, by Bart Copeland
Cloud Services / Open Source / Software Development / Contributed
How Apache Brooklyn Helped IBM SoftLayer Auto-Scale a Heavy Workload
6 Jan 2016 6:43am, by Galina Grunin and Naeem Altaf
Data Science / Software Development / Contributed
How Pricebaba Got its Start on the CodeIgniter PHP Framework
5 Jan 2016 9:09am, by Annkur Agarwal
https://cdn.thenewstack.io/media/2016/01/PodcastBrandingOverlay_TNS_Analysts.svg
Containers / Kubernetes / Open Source / Software Development
The Perfect Storm of Node.js and Docker
5 Jan 2016 2:41am, by Luke Lefler
Security / Software Development
Welcome to the Age of Node.js-Based Cross-Platform Malware
5 Jan 2016 2:17am, by Joab Jackson
Culture / Machine Learning / Open Source / Software Development
The Year Behind: Looking Back at 2015 with Remembrance of Debian Creator Ian Murdock
1 Jan 2016 9:00am, by David Cassel
Culture / IoT Edge Computing / Software Development / Contributed
The Year Ahead: Node.js and all the Internet Things
30 Dec 2015 2:55am, by Joab Jackson
https://cdn.thenewstack.io/media/2016/01/PodcastBrandingOverlay_TNS_Analysts.svg
DevOps / Open Source / Software Development
Max Ogden’s Beard – Keeping Node Weird in Portland
29 Dec 2015 8:43pm, by Luke Lefler
https://cdn.thenewstack.io/media/2016/01/PodcastBrandingOverlay_TNS_Analysts.svg
Software Development
More Node.js Tooling for the Enterprise, Please
28 Dec 2015 12:54pm, by Luke Lefler
API Management / CI/CD / Microservices / Software Development / Tools
The Year Ahead: APIs as Economic Game Changers
28 Dec 2015 6:59am, by Mark Boyd
Culture / Open Source / Software Development / Tools
Terminal Essentials: Know Your Command Line
24 Dec 2015 11:58am, by Suchakra Sharma
Pagination Previous Button
81 82 83 84 85 86 87 88 89 90
Pagination Next Button
Architecture
  • Cloud Native
  • Containers
  • Edge/IoT
  • Microservices
  • Networking
  • Serverless
  • Storage
Development
  • Cloud Services
  • Data
  • Development
  • Machine Learning
  • Security
Operations
  • CI/CD
  • Culture
  • DevOps
  • Kubernetes
  • Monitoring
  • Service Mesh
  • Tools
The New Stack
  • Ebooks
  • Podcasts
  • Events
  • Newsletter
  • About / Contact
  • Sponsors
  • Sponsorship
  • Disclosures
  • Contributions

© 2022 The New Stack. All rights reserved.

Privacy Policy. Terms of Use.