After 210 days, 600 commits, tens of debugging nights, and thousands of messages in the project chat, I finally released AngouriMath 1.2.
This is an open-source symbolic algebra library for C# and F#, maybe it is interesting for someone?
After 210 days, 600 commits, tens of debugging nights, and thousands of messages in the project chat, I finally released AngouriMath 1.2.
This is an open-source symbolic algebra library for C# and F#, maybe it is interesting for someone?
In our articles, we regularly repeat an important idea: a static analyzer should be used regularly. This helps detect and cheaply fix many errors at the earliest stage. It looks nice in theory. As we know, actions still speak louder than words. Let's look at some recent bugs in new code of the Blender project.
Have you ever heard of Image File Execution Options (IFEO)? It is a registry key under HKEY_LOCAL_MACHINE that controls things like Global Flags and Mitigation Policies on a per-process basis. One of its features that drew my attention is a mechanism designed to help developers debug multi-process applications. Imagine a scenario where some program creates a child process that crashes immediately. In case you cannot launch this child manually (that can happen for various reasons), you might have a hard time troubleshooting this problem. With IFEO, however, you can instruct the system to launch your favorite debugger right when it's about to start this troublesome process. Then you can single-step through the code and figure what goes wrong. Sounds incredibly useful, right?
I don't know about you, but I immediately saw this feature as a mechanism for executing arbitrary code when someone creates a new process. Even more importantly, it happens synchronously, i.e., the target won't start unless we allow it. Internally, the system swaps the path to the image file with the debugger's location, passing the former as a parameter. Therefore, it becomes the debugger's responsibility to start the application and then attach itself to it.
So, are there any limitations on what we can do if we register ourselves as a debugger? Let's push this opportunity to the limits and see what we can achieve.
This is a TANGO archiving system, allows you to save data received from devices in the TANGO system.
Working with Linux will be described here (TangoBox 9.3 on base Ubuntu 18.04), this is a ready-made system where everything is configured.
It took me ~ 2 weeks to understand the architecture and write my own scripts for python for this case.
Allows you to store the history of the readings of your equipment.
What happens to your MongoDB replica set when it comes to failures like network partitioning, restarting, reconfiguration of the existing topology, etc.? This question is especially important these days because of the popularity gained by the multi-cloud model where chances of these scenarios are quite realistic.
However, is there a solution, preferably a free one, for testing such cases that would obviate the need of writing manual scripts and poring over the official documentation? As software developers, we would be better off preparing our applications in advance to survive these failures.
One of the most time-consuming steps while implementing a SIEM solution is writing and tuning "Playbook" – a set of reaction procedures SOC Team has to follow in case of alert triggering.
So during one of our projects we stoped for a moment and thought: "How can we optimize (ideally automate) the Playbook?"
Recently we found out that the new version of the fheroes2 project was released. In our company there are many fans of Heroes of Might and Magic game series. So, we couldn't pass it up and checked the project by PVS-Studio.
Tested on the following configuration:
Server: ubuntu 20.04
Clients: ubuntu 16.04, 18.04, 20.04
It doesn’t require a lot of software to create it.
Let's once again improve Ansible. Well, this won't work without getting into sources.
Most solutions to algorithmic problems can be grouped into a rather small number of patterns. When we start to solve some problem, we need to think about how we would classify them. For example, can we apply fast and slowalgorithmic pattern or do we need to use cyclic sortpattern? Some of the problems have several solutions with different patterns. In this article of series Algorithms in Go we consider an algorithmic pattern that solves an entire class of the problems related to a matrix. Let's take one of such problems and see how we can handle it.
How can we traverse a matrix in a spiral order?
Technology is as adaptable and compatible as mankind; it finds its way through problems and situations. 2020 was one such package of uncertain events that forced businesses to adapt to digital transformation, even to an extent where many companies started to consider the remote work culture to be a beneficiary long-term model. Technological advancements like Hyper automation, AI Security, and Distributed cloud showed how any people-centric idea could rule the digital era. The past year clearly showed the boundless possibilities through which technology can survive or reinvent itself. With all those learnings let's deep-dive and focus on some of the top technology trends to watch out for in 2021.
rotor is a non-intrusive event loop friendly C++ actor micro framework with hierarchical supervising, similar to its elder brothers like caf and sobjectizer. There is a bulk of important changes since the last release announcement v0.09
As Intel Threading Building Blocks (TBB) is being refreshed using new C++ standard, deprecating tbb::task interface, the need for high-level tasking interface becomes more obvious. In this article, I’m proposing yet another way of defining what a high-level parallel task programming model can look like in modern C++. I created it in 2014 and it was my last contribution to TBB project as its core developer after 9 wonderful years of working there. However, this proposal has not been used in production yet, so a new discussion might help it to be adopted.
An essential part of any modern static code analyzer is data flow analysis. However, from an outside perspective, the use of data flow analysis and its benefit is unclear. Some people still consider static analysis a tool searching for something in code according to a certain pattern. Thus, we occasionally write blog posts to show how this or that technology, used in the PVS-Studio analyzer, helps to identify another interesting error. Today, we have such an article about the bug found in the Base64, one of the encoding standard implementations of binary data.
The recent Qt 6 release compelled us to recheck the framework with PVS-Studio. In this article, we reviewed various interesting errors we found, for example, those related to processing dates. The errors we discovered prove that developers can greatly benefit from regularly checking their projects with tools like PVS-Studio.
Surely every C# developer has used out-parameters. It seems that everything is extremely simple and clear with them. But is it really so? For a kickoff, let's start with a self-test task.
Static code analysis is a crucial component of all modern projects. Its proper application is even more important. We decided to set up a regular check of some open source projects to see the effect of the analyzer's frequent running. We use the PVS-Studio analyzer to check projects. As for viewing the outcome, the choice fell on SonarQube. As a result, our subscribers will learn about new interesting bugs in the newly written code. We hope you'll have fun.
Let's say you use GitHub, write code, and do other fun stuff. You also use a static analyzer to enhance your work quality and optimize the timing. Once you come up with an idea - why not view the errors that the analyzer gave right in GitHub? Yeah, and also it would be great if it looked nice. So, what should you do? The answer is very simple. SARIF is right for you. This article will cover what SARIF is and how to set it up. Enjoy the reading!