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Revolutionizing Software Testing

DZone

For more: Read the Report Artificial intelligence (AI) has revolutionized the realm of software testing, introducing new possibilities and efficiencies. To address these challenges, AI has emerged as a game-changing force, revolutionizing the field of automated software testing.

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Automating DevOps practices fuels speed and quality

Dynatrace

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality.

DevOps 268
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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

Observability-driven DevOps enables state agencies to deliver higher-quality software faster MNIT can make better, data-driven release decisions by integrating observability data into the DevOps team’s delivery pipelines. That’s why teams need a modern observability approach with artificial intelligence at its core.

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What is digital immunity? Creating secure, resilient software with observability

Dynatrace

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Observability.

Software 195
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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

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Is Quality With Speed Really Possible in Software Testing?

DZone

While it is an established fact, one of the major concerns of developers is the quality of the software delivered in minimum time, at the lowest costs, and with maximum accuracy. While it may seem something too good to be true, the development of such software is not just the dream, it is the need. There is an ideal case scenario.

Speed 189
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The state of AI in 2024: Overcoming adoption challenges to unlock organizational success

Dynatrace

Artificial intelligence (AI) has revolutionized the business and IT landscape. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. To realize these benefits, organizations must get their AI strategy right.