Expertise Blog (Page 3)

What is baseline testing, and why is it important? This article breaks it down, explains how it fits into software development, and shares tips and tools like SCAND’s Storm Petrel to help you get started.

Want to test your idea? Below is an ultimate guide on how to develop a SaaS MVP, from main approaches and types of MVPs to essential development stages, tips on how to speed up the process, and several common traps.

This article explains how Scand Storm Petrel simplifies snapshot testing in .NET by automating the generation and comparison of expected values. It covers how the tool works with different data formats like HTML, JSON, XML, and binary, improving test efficiency and ease of use.

This article explains the differences between CI/CD and DevOps and how they both help improve software development. It also shows how using them together can make the process faster and more systemized.

Explore the pros and cons of achieving 100% code coverage in unit testing. Discover when full coverage is worth the investment and when focusing on targeted testing can improve quality without draining resources.

The article explores the strategic decision-making process between code refactoring and rewriting in software development.

Want to strengthen your security measures? This article explains how generative AI can impact cybersecurity. It highlights the technology’s uses, benefits, possible risks, and what it could mean for the future of online safety.

This article explains what CRUD applications are and describes the basic operations: Create, Read, Update, and Delete. It provides examples, shares ideas for your own projects, and includes a step-by-step guide for building a CRUD app.

Want to outsource your project? This article provides a comprehensive guide on building an effective IT outsourcing strategy, outlining essential steps, such as assessing business needs, choosing the right outsourcing model, and selecting the ideal vendor.

This article explains different types of machine learning recommendation systems, like collaborative filtering, content-based, and hybrid models. It also talks about how these systems are used in real life and gives tips on how to set them up.