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Secure SDLC 101

Synopsys

Learn about the phases of a software development life cycle, plus how to build security in or take an existing SDLC to the next level: the secure SDLC. The post Secure SDLC 101 appeared first on Software Integrity Blog.

SDLC 133
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Survey Surfaces Raft of Ongoing Agile Development Challenges

DevOps.com

While most software developers are using agile development methodologies in the SDLC, only 44% said it is working very well (11%) or somewhat well (33%).

Agile 71
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What Is DevSecOps and How to Enable It on Your SDLC?

DevOps.com

For the past three to four years, all the companies around the IT world have adopted agile and different application development methodologies that leverage the work for different departments or areas and helps them to develop new products and release new features to improve their processes and infrastructure.

SDLC 142
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Leaders Identify Critical Areas of Improvement in their Software Lifecycle

Coveros

One of the biggest challenges facing software leaders is understanding where to prioritize limited resources and team members’ attention in order to make the biggest impact possible. We hope these findings might help you in your ongoing software delivery improvement initiatives. What are the strongest aspects of your SDLC?

SDLC 52
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Benefits of Agile Development: 5 Reasons Why Companies Choose Agile

Gorilla Logic

The benefits of Agile software development extend far beyond higher-quality products delivered on time and on budget. In this blog post, we’ll discuss why the Agile methodology has become so popular amongst development teams and break down 5 key benefits of Agile software development: 1. What is Agile?

Agile 52
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Software Testing Methodologies: A QA Manager’s Guide

Openxcell

Software testing is no longer an isolated process and goes hand in hand with design and development. Delivering high-quality software is possible only if the entire team of developers, marketers, Quality Assurance engineers, and others collaborate and work together. What is Software Testing Methodology?

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AI for Software Professionals: A Must-Have Skillset

Coveros

The software development landscape is undergoing a seismic shift. Artificial intelligence (AI) and machine learning (ML) are rapidly transforming how we build, test, and deploy software. Here’s why AI training is no longer a luxury, but a vital investment for your software career. It depends on who you ask.