Sign up for our newsletter!
Stay informed on the latest DevOps news

staging-devopsy.kinsta.cloud

Latest
Topics
Videos/Podcasts
Webinars
Library
Events
- Upcoming Events
- On-Demand Events
Sponsored Content
Related Sites
Media Kit
About
Sponsor

AI
Cloud
CI/CD
Continuous Testing
DataOps
DevSecOps
DevOps Onramp
Platform Engineering
Low-Code/No-Code
IT as Code
More

How Data Science Does Slander

By: ROELBOB on June 7, 2017 Leave a Comment

ROELBOB

Filed Under: Blogs, ROELBOB

« Moving at the Speed-of-Cloud Without Getting Owned

Q&A: Michael Beckley, CTO/CCO, Appian »

Techstrong TV

Click full-screen to enable volume control

Watch latest episodes and shows

Sign up for our Newsletter

Tech Field Day Events

Upcoming Webinars

Migrating Apache Solr Workloads to Amazon OpenSearch Service

Tuesday, July 28, 2026 - 1:00 pm EDT

The Emergence of AI in Performance Engineering

Thursday, July 30, 2026 - 11:00 am EDT

How the Biggest Banks Stay Fast, Nimble, and Multi-Vendor

Wednesday, August 5, 2026 - 11:00 am EDT

Techstrong Gang Podcast

Agents of Dev Podcast

Press Releases

Insignary Closes SBOM Accuracy Gap With Binary-Level Clarity for Regulatory Risk

Insignary Closes SBOM Accuracy Gap With Binary-Level Clarity for Regulatory Risk

SpyCloud Report Finds Phishing Attacks Surge as Employee Data Is Exposed at 86% of Fortune 100 Companies

SpyCloud Report Finds Phishing Attacks Surge as Employee Data Is Exposed at 86% of Fortune 100 Companies

Heimdal Survey: Executives Four Times More Confident About AI Risk Than the Teams Managing It

Heimdal Survey: Executives Four Times More Confident About AI Risk Than the Teams Managing It

Lyrie.ai Joins First Batch of Anthropic’s Cyber Verification Program

Lyrie.ai Joins First Batch of Anthropic’s Cyber Verification Program

Mallory Launches AI-Native Threat Intelligence Platform, Turning Global Threat Data Into Prioritized Action

Mallory Launches AI-Native Threat Intelligence Platform, Turning Global Threat Data Into Prioritized Action

Sponsored Content

AI Is Here to Stay. The Real Challenge Is Operating It Securely

June 13, 2026 | Thierry Carrez

The Validation Gap Is Costing You More Than You Think

May 30, 2026 | Rob Zuber

A Day with Developer Assist: Faster Fixes, Cleaner Commits

April 29, 2026 | Rebecca Spiegel

Agentic AI for Defense: How Checkmarx Turns Security into a Coding Partner

April 23, 2026 | Rebecca Spiegel

Iceberg Won the Format War — Now Comes the Hard Part

March 30, 2026 | Christian Romming

Home
About staging-devopsy.kinsta.cloud
Meet our Authors
Write for staging-devopsy.kinsta.cloud
Media Kit
Sponsor Info
Copyright
TOS
Privacy Policy

© 2026 ·Techstrong Group, Inc.All rights reserved.

Software Testing and Test Automation

1

2

3

4

5

6

7

8

Which of the following best describes your involvement in software testing or test automation at your organization? (Select one)*
- I actively perform software testing or test automation
- I manage or lead software testing or QA teams
- I make decisions about testing tools, frameworks, or automation strategy
- I do both hands-on testing and make strategic/tool decisions
- None of the above

How much of your organization's software testing is still performed manually today? (Select one)*
- Almost all
- More than half
- About half
- Less than half
- Almost none

How much effort does your team spend maintaining existing automated tests compared to creating new test coverage? (Select one)*
- Mostly maintaining existing tests
- More maintenance than new coverage
- About equal
- More new coverage than maintenance
- Very little maintenance required

How much has AI-assisted software development increased the pressure on your testing teams over the past 12 months? (Select one)*
- Significantly increased pressure
- Moderately increased pressure
- Slightly increased pressure
- No meaningful impact yet
- Unsure

What is the biggest obstacle preventing your organization from expanding software test automation and adopting agentic testing? (Select one)*
- Automated tests are too difficult or costly to maintain
- Release cycles move too quickly to keep tests current
- Too much coding or scripting expertise is required
- Testing tools and frameworks are too fragmented
- Lack of time, budget, or staffing
- Difficulty proving business value or ROI
- Insufficient AI or intelligent automation capabilities

Which improvement would create the greatest business impact for your organization over the next 12 months? (Select one)*
- Reducing manual testing effort
- Reducing automated test maintenance
- Accelerating release cycles
- Expanding test coverage across more technologies
- Consolidating testing tools and frameworks
- Enabling more non-developers to automate testing
- Improving the resilience and adaptability of automated tests

Which statement best reflects your organization's current perspective on AI-powered or agentic software testing? (Select one)*
- We are actively evaluating or adopting AI-powered testing approaches
- We are interested, but still assessing practical value and trust
- We believe current automated testing approaches are sufficient
- We are primarily focused on improving existing automation before adopting AI-assisted testing
- We have not yet explored AI-powered testing in a meaningful way

How important is the ability to execute continuous, largely autonomous software testing with minimal human intervention ("lights-out" or "dark factory" testing) to your organization's future software delivery strategy? (Select one)*
- Critical strategic priority
- Important, but still early-stage
- Somewhat important
- Low priority today
- Not relevant to our organization
- Unsure

Δ