Development Software Development Software Improvement 
SIG
OCTOBER 24, 2019
The post Software development: What you measure tends to improve appeared first on Software Improvement Group. As a result, organizations spend fortunes on measuring everything left and right. There is no shortage of management dashboards or fancy spreadsheets showing all aspects of […].
InnovationM
JUNE 6, 2024
In the fast-paced world of software development, quality assurance (QA) is not merely a task to be checked off a list—it’s a mindset that should permeate every stage of the development process. This means taking responsibility for the code they write, the features they develop, and the overall user experience they deliver.
SIG
JUNE 4, 2018
Our benchmark of development best practices shows piece-meal improvement By Joost Visser Following best practices or typing away blindly? Code quality control and automated testing are improving, but still not fully adopted by most teams. The post Are we getting better at software development?
SIG
JUNE 4, 2018
Our benchmark of development best practices shows piece-meal improvement By Joost Visser Following best practices or typing away blindly? Code quality control and automated testing are improving, but still not fully adopted by most teams. The post Are we getting better at software development?
The Crazy Programmer
SEPTEMBER 9, 2022
Both software engineers and computer scientists are concerned with computer programs and software improvement and various related fields. What is Software Engineering? Key Skills to Be a Software Engineer. The most popular ones are in software engineering or computer science, and math.
CIO
AUGUST 1, 2023
Tapping their longstanding relationship with Miami University’s IT services, Baldwin and his team gained access to servers and other necessary hardware, along with student developers to help build and maintain the platform. “We Miami IT became kind of our partner to support the server structure.
TechCrunch
APRIL 28, 2022
Developing systems on the bleeding edge often requires a huge amount of computing power. Further underlining the challenge, one source estimates that developing AI startup OpenAI’s language-generating GPT-3 system using a single GPU would’ve taken 355 years. But they share a common bottleneck: hardware.
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