Software Development Related Topics 
Forrester IT
OCTOBER 30, 2020
As executive teams put more pressure on internal teams to speed digital transformation in 2021, how will software developers respond? Find out in our 2021 predictions for software development.
Forrester IT
OCTOBER 23, 2024
AI assistants are only the beginning of the generative AI software development revolution. Find out what’s in store for software developers in our 2025 predictions for software development.
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Forrester IT
JULY 31, 2024
Past and future technologies and paradigms shifts like Agile, DevOps, low-code, and even AI have been reshaping the software development world. The software development lifecycle (SDLC), is being accelerated and reimagined as a process happening in real-time. We’ve tried Agile, DevSecOps and LowCode, Now What?
Forrester IT
MARCH 21, 2024
As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader software development challenges. Specifically they help to automate a wide range of tasks throughout the software development life cycle (SDLC).
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To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.
Forrester IT
MAY 28, 2024
Thanks to TuringBots (AI and generative AI for software development), software development is on the cusp of a transformative change, one that promises to redefine the way development teams collaborate, create, and deploy applications.
Forrester IT
OCTOBER 30, 2023
In 2024, software developers will have to adapt to the rise of TuringBots, ajar source, and Backstage in the development cycle. Learn more in our 2024 predictions for software development.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.
Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks
The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against is constantly changing in unexpected ways.
Speaker: Mickey Mantle, Founder and CEO at Wanderful Interactive Storybooks | Ron Lichty, Consultant: Interim VP Engineering, Author, Ron Lichty Consulting, Inc.
In order to be successful at delivering software, organizations need to become data-driven. And in the era of agile, which recognizes that software development is a team sport, performance reviews need to use data for programmer growth and to give focus to business results.
Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC
Estimates are a contentious topic in software development. Most of our development teams hate providing estimates and many managers are starting to view them as unnecessary. As senior software leaders, how can we determine whether estimates are helpful or harmful to our teams?
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