DevOps.com

  • Latest
    • Articles
    • Features
    • Most Read
    • News
    • News Releases
  • Topics
    • AI
    • Continuous Delivery
    • Continuous Testing
    • Cloud
    • Culture
    • DevSecOps
    • Enterprise DevOps
    • Leadership Suite
    • DevOps Practice
    • ROELBOB
    • DevOps Toolbox
    • IT as Code
  • Videos/Podcasts
    • DevOps Chats
    • DevOps Unbound
  • Webinars
    • Upcoming
    • On-Demand Webinars
  • Library
  • Events
    • Upcoming Events
    • On-Demand Events
  • Sponsored Communities
    • AWS Community Hub
    • CloudBees
    • IT as Code
    • Rocket on DevOps.com
    • Traceable on DevOps.com
    • Quali on DevOps.com
  • Related Sites
    • Techstrong Group
    • Container Journal
    • Security Boulevard
    • Techstrong Research
    • DevOps Chat
    • DevOps Dozen
    • DevOps TV
    • Digital Anarchist
  • Media Kit
  • About
  • AI
  • Cloud
  • Continuous Delivery
  • Continuous Testing
  • DevSecOps
  • Leadership Suite
  • Practices
  • ROELBOB
  • Low-Code/No-Code
  • IT as Code
  • More
    • Application Performance Management/Monitoring
    • Culture
    • Enterprise DevOps

Home » Blogs » AI » Want To Deliver Better Software Faster? Use Automation

automation microservices cloud

Want To Deliver Better Software Faster? Use Automation

By: Vasantha Priya on November 9, 2020 2 Comments

Despite the evident evolution of the software industry, many enterprises continue deploying testing practices that require intensive time and effort, while also facing increased pressure to do more and work faster. I like to call this phenomenon “scattered islands,” as it describes the disconnect in maturity and capability across the testing landscape. The key differentiator here is automation, the impact of which can be found throughout all the phases of software testing, from test planning to defect analysis repair and feedback loop. Even so, the industry has just begun unlocking the true potential of automation in testing.

Related Posts
  • Want To Deliver Better Software Faster? Use Automation
  • Reinvent Testing to Galvanize Digital Transformation
  • The Impact of DevOps and Continuous Testing in 2018
    Related Categories
  • AI
  • Blogs
    Related Topics
  • ai
  • automation
  • devops
  • testing
Show more
Show less

AI-driven automation holds the potential to completely transform software testing from an end-to-end testing lifecycle perspective.

DevOps Connect:DevSecOps @ RSAC 2022

Gap Between Knowledge and Action

The shortage of test automation is one of the biggest barriers when it comes to releasing new software to the market. In fact, most software testing is still done manually. Enterprises are embracing Agile and DevOps approaches for faster software release cycles to meet customer expectations. However, the bulk of the testing life cycle—especially the planning and design stages—continue to be manual and inefficient. Undetected software quality issues translate into production. The reduced speed-to-market is costing businesses trillions of dollars.

Strangely, the software industry has yet to embrace automation applications. According to a  study by Kobiton, more than half (55%) of respondents believe automating testing would be an asset to software quality. And yet, most aren’t doing it. In that same study, 76% of respondents say they manually conduct most of their testing; 73% are running at least 100 tests prior to each software release manually—not automatically.

How Software Testing Is Adopting Automation

Organizations are starting to deeply consider how to adopt assisted and automated practices across the testing life cycle. That spans from test creation to data management and beyond. Automation is quickly becoming critical for effectively meeting customer requirements, because it offers important benefits: faster time-to-market, increased efficiency and improved quality.

Now, most organizations are applying automation little by little to improve productivity and stay at par with the demands of development and release cycles. For instance, they may apply automation to test execution or defect management. However, this stilted approach is inadequate for today’s scale.

Some have speculated that organizations may be leery of full-scale automation due to the looming fear that it would cost the testers their jobs. This is a misconception. Automation isn’t taking jobs, but it is changing them. Testing will become more about predictive rather than preventive methods. With the agile development environment, these methods are being implemented starting with the planning phase.

By conducting testing through automation tools, organizations can address issues faster. And that means testers will be able to upgrade their skills. With their deep domain expertise, they’ll be eligible for other business roles and not just IT roles.

Start Small and Expand

Ultimately, the goal with automation is to become autonomous. Therefore, it’s important to understand that not all tools are created equal. Many startups have entered the market with test automation tools, some of which make lofty promises about improved speed. But there is no tool that automates test scenario creation or provides intelligent test selection. What organizations can do is identify areas where it makes the most sense to start introducing automation and begin to implement it gradually.

It’s key to remember that organizational support is imperative to successful deployment. Without it, projects aren’t likely to succeed. It’s easy to get stuck in the status quo because “that’s always how we’ve done it.” To move to automation there must be a desire for change. Being the change agent in the organization and finding support before embarking on this journey is crucial.

Jumping Into the Automation Pool

AI is rapidly becoming core to every industry and function, including the software industry. AI-based automation enables enterprises to take their software to market faster and reap unparalleled business benefits that come with agility, speed and reliability in their software release cycles. Software testing is only one application of this type of automation. Test automation not only relieves testers of the burden of repetitive tasks but can also perform additional testing that might not otherwise get done because it is difficult to do manually.

Although the numbers clearly indicate that bugs and rework incur higher costs for organizations to maintain the status quo, many still hesitate to embrace the innovation. Most organizations agree that automated testing would be of tremendous benefit, and the hesitation indicates that early adopters will have a competitive advantage. With well-informed strategy and integration, test automation can enable you to deliver better software, faster and transform your business exponentially.

Filed Under: AI, Blogs Tagged With: ai, automation, devops, testing

Sponsored Content
Featured eBook
DevOps: Mastering the Human Element

DevOps: Mastering the Human Element

While building constructive culture, engaging workers individually and helping staff avoid burnout have always been organizationally demanding, they are intensified by the continuous, always-on notion of DevOps.  When we think of work burnout, we often think of grueling workloads and deadline pressures. But it also has to do with mismatched ... Read More
« Testing in Production 101
Survey Sees Long DevSecOps Ahead »

TechStrong TV – Live

Click full-screen to enable volume control
Watch latest episodes and shows

Upcoming Webinars

Continuous Deployment
Monday, July 11, 2022 - 1:00 pm EDT
Using External Tables to Store and Query Data on MinIO With SQL Server 2022
Tuesday, July 12, 2022 - 11:00 am EDT
Goldilocks and the 3 Levels of Cardinality: Getting it Just Right
Tuesday, July 12, 2022 - 1:00 pm EDT

Latest from DevOps.com

Rust in Linux 5.20 | Deepfake Hiring Fraud | IBM WFH ‘New Normal’
June 30, 2022 | Richi Jennings
Moving From Lift-and-Shift to Cloud-Native
June 30, 2022 | Alexander Gallagher
The Two Types of Code Vulnerabilities
June 30, 2022 | Casey Bisson
Common RDS Misconfigurations DevSecOps Teams Should Know
June 29, 2022 | Gad Rosenthal
Quick! Define DevSecOps: Let’s Call it Development Security
June 29, 2022 | Don Macvittie

Get The Top Stories of the Week

  • View DevOps.com Privacy Policy
  • This field is for validation purposes and should be left unchanged.

Download Free eBook

DevOps: Mastering the Human Element
DevOps: Mastering the Human Element

Most Read on DevOps.com

What Is User Acceptance Testing and Why Is it so Important?
June 27, 2022 | Ron Stefanski
Rust in Linux 5.20 | Deepfake Hiring Fraud | IBM WFH ‘New No...
June 30, 2022 | Richi Jennings
Chip-to-Cloud IoT: A Step Toward Web3
June 28, 2022 | Nahla Davies
DevOps Connect: DevSecOps — Building a Modern Cybersecurity ...
June 27, 2022 | Veronica Haggar
The Two Types of Code Vulnerabilities
June 30, 2022 | Casey Bisson

On-Demand Webinars

DevOps.com Webinar ReplaysDevOps.com Webinar Replays
  • Home
  • About DevOps.com
  • Meet our Authors
  • Write for DevOps.com
  • Media Kit
  • Sponsor Info
  • Copyright
  • TOS
  • Privacy Policy

Powered by Techstrong Group, Inc.

© 2022 ·Techstrong Group, Inc.All rights reserved.