C++ *

There is an open project COVID-19 CovidSim Model, written in C++. There is also a PVS-Studio static code analyzer that detects errors very well. One day they met. Embrace the fragility of mathematical modeling algorithms and why you need to make every effort to enhance the code quality.

How do people usually write a server if they don't really care about performance? A program starts, then starts accepting incoming connections from clients and starts a new thread for each client, which is engaged in servicing this client. If you use framework, like Spring or Flask or Poco there, then it does something like this inside itself - the only difference is the threads can be reused, that is, taken from a certain pool. It's all quite convenient, but not too effective (and Spring is bad). Most likely, your threads serving clients do not live long and most of the time they are waiting either to receive data from the client or to send it to the client - that is, they are waiting for some system calls to return. Creating an OS thread is quite an expensive operation, as is context switching between OS threads. If you want to be able to serve a lot of customers efficiently, you need to come up with something else. For example, callbacks, but they are pretty inconvenient (though there are different opinions on this).

Another option is to use non-blocking I/O in combination with some kind of implementation of user-space threads (fibers). In this article I will show you how to write all this with your own hands.

I just started to learn Game Development, and decided to run write my personal blog about it. So there you can find information(resources, blogs, courses, books) that i've gathered and my personal problems with learning)

Readers surely have favorite websites and blogs about C++. Hopefully, today your collection will grow.

We often check large projects because it's easier to find bugs there. What if we try PVS-Studio on a small project? In this article we analyze Blend2D — a library for vector 2D graphics. Let's look at what we found.

Introduction

It's no secret that large projects have fascinating errors. It's not just "the larger the codebase is – the more errors we can find". It's also a known fact that the density of errors grows along with the codebase. That's why we love checking large projects — to treat you with a variety of "yummy" and tricky errors and typos. Besides, it's always interesting to search through a huge project with lots of dependencies, legacy code, and other stuff.

Today I'm moving away from this tradition. I decided to take a small project and see what PVS-Studio can find there. I chose Blend2D — branch master, commit c484790.

One of the mechanisms of static analysis is method annotations of popular libraries. Annotations provide more information about functions during errors detecting. CARLA is an impressive open-source project in C++ that helped us implement this mechanism to our analyzer. Subsequently, the simulator became a test-target for the improved PVS-Studio static analyzer.

Modern applications have lots of code. And the C++ language doesn't get easier. Nowadays, code reviews are not enough to fully analyze program code. Here's where static code analysis comes in.

Commercial static analyzers perform deeper and fuller code analysis compared to compilers. Let's see what PVS-Studio found in the source code of the LLVM 13.0.0 project.

The PVS-Studio analyzer already has plugins for such IDEs from JetBrains as Rider, IntelliJ IDEA and Android Studio. Somehow we missed another IDE - CLion. The time has come to make amends! But why would you need PVS-Studio if CLion already has the code analyzer? What problems appeared during development? Keep reading to find answers to these questions.

Static analyzers' primary aim is to search for errors missed by developers. Recently, the PVS-Studio team again found an interesting example proving the power of static analysis.