At some moment, long ago, we somehow started to cover in our articles any subject but the PVS-Studio tool itself. We told you about the projects we checked and the C++ language's subtle details; we told you how to create plugins in C# or how to launch PVS-Studio from the command line... But PVS-Studio is first of all meant for developers working in Visual Studio. We've done quite a lot to make it easier and more comfortable for them to use our tool. Yet this particular aspect usually stays off screen. Now I decided to improve that and tell you about the PVS-Studio plugin from scratch. If you are a Visual C++ user, this article is for you.
PVS-Studio is a static code analyzer for C, C++, C#, and Java that detects bugs and vulnerabilities. It supports various compilers and IDE plugins. It uses data flow analysis, symbolic execution, pattern matching, and other techniques to detect bugs like buffer overflows, leaks, dead code, and undefined behavior. Over 700 diagnostics are implemented to date across the supported languages. The analyzer produces warnings classified by standard taxonomies. Users can exclude files, suppress warnings, and integrate it with continuous integration systems. Support and documentation is provided through online and PDF references.
Overview of PVS-studio analyzer advanced features. PVS-Studio Standalone is an IDE/compiler independent tool which allows you to analyze your code and review analysis results.
PVS-Studio, a static analyzer detecting errors in the source code of C/C++/C+...Andrey Karpov
This document summarizes the features and capabilities of PVS-Studio, a static code analyzer for C/C++/C++11 code. It detects over 200 common and rare errors using general analysis diagnostics, finds code that can be optimized, and helps with porting code from 32-bit to 64-bit systems. PVS-Studio can be integrated into Visual Studio and run from the command line or by monitoring compiler launches. It analyzes code incrementally, provides help documentation, and has been used to find errors in many open source projects.
PVS-Studio advertisement - static analysis of C/C++ codeAndrey Karpov
This document advertises the PVS-Studio static analyzer. It describes how using PVS-Studio reduces the number of errors in code of C/C++/C++11 projects and costs on code testing, debugging and maintenance. A lot of examples of errors are cited found by the analyzer in various Open-Source projects. The document describes PVS-Studio at the time of version 4.38 on October 12-th, 2011, and therefore does not describe the capabilities of the tool in the next versions. To learn about new capabilities, visit the product's site <a>http://www.viva64.com</a> or search for an updated version of this article.
PVS-Studio is a static code analyzer that checks C, C++ and C# code for bugs. It supports projects developed with Windows (Visual Studio) and Linux (Clang, GCC). It integrates with tools like Visual Studio, SonarQube and supports standalone use. PVS-Studio detects many types of bugs like null pointer dereferences, uninitialized variables, dead code, buffer overflows, security issues and more. It has been effective at finding real bugs in major open source projects.
How to Improve Visual C++ 2017 Libraries Using PVS-StudioPVS-Studio
The title of this article is a hint for the Visual Studio developers that they could benefit from the use of PVS-Studio static code analyzer. The article discusses the analysis results of the libraries in the recent Visual C++ 2017 release and gives advice on how to improve them and eliminate the bugs found. Read on to find out how the developers of Visual C++ Libraries shoot themselves in the foot: it's going to be interesting and informative.
Date Processing Attracts Bugs or 77 Defects in Qt 6Andrey Karpov
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.
PVS-Studio is a static code analyzer for C, C++, C#, and Java that detects bugs and vulnerabilities. It supports various compilers and IDE plugins. It uses data flow analysis, symbolic execution, pattern matching, and other techniques to detect bugs like buffer overflows, leaks, dead code, and undefined behavior. Over 700 diagnostics are implemented to date across the supported languages. The analyzer produces warnings classified by standard taxonomies. Users can exclude files, suppress warnings, and integrate it with continuous integration systems. Support and documentation is provided through online and PDF references.
Overview of PVS-studio analyzer advanced features. PVS-Studio Standalone is an IDE/compiler independent tool which allows you to analyze your code and review analysis results.
PVS-Studio, a static analyzer detecting errors in the source code of C/C++/C+...Andrey Karpov
This document summarizes the features and capabilities of PVS-Studio, a static code analyzer for C/C++/C++11 code. It detects over 200 common and rare errors using general analysis diagnostics, finds code that can be optimized, and helps with porting code from 32-bit to 64-bit systems. PVS-Studio can be integrated into Visual Studio and run from the command line or by monitoring compiler launches. It analyzes code incrementally, provides help documentation, and has been used to find errors in many open source projects.
PVS-Studio advertisement - static analysis of C/C++ codeAndrey Karpov
This document advertises the PVS-Studio static analyzer. It describes how using PVS-Studio reduces the number of errors in code of C/C++/C++11 projects and costs on code testing, debugging and maintenance. A lot of examples of errors are cited found by the analyzer in various Open-Source projects. The document describes PVS-Studio at the time of version 4.38 on October 12-th, 2011, and therefore does not describe the capabilities of the tool in the next versions. To learn about new capabilities, visit the product's site <a>http://www.viva64.com</a> or search for an updated version of this article.
PVS-Studio is a static code analyzer that checks C, C++ and C# code for bugs. It supports projects developed with Windows (Visual Studio) and Linux (Clang, GCC). It integrates with tools like Visual Studio, SonarQube and supports standalone use. PVS-Studio detects many types of bugs like null pointer dereferences, uninitialized variables, dead code, buffer overflows, security issues and more. It has been effective at finding real bugs in major open source projects.
How to Improve Visual C++ 2017 Libraries Using PVS-StudioPVS-Studio
The title of this article is a hint for the Visual Studio developers that they could benefit from the use of PVS-Studio static code analyzer. The article discusses the analysis results of the libraries in the recent Visual C++ 2017 release and gives advice on how to improve them and eliminate the bugs found. Read on to find out how the developers of Visual C++ Libraries shoot themselves in the foot: it's going to be interesting and informative.
Date Processing Attracts Bugs or 77 Defects in Qt 6Andrey Karpov
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.
This document summarizes the analysis of the Qt 5.2.1 framework using the PVS-Studio static analysis tool. PVS-Studio detected 14 typos in Qt's code, including mistakes in variable names, missing comparisons, and identical subexpressions. It also found issues like loss of accuracy from integer division and an error related to operator priority. Overall, the author concludes Qt's code is high-quality but still contains ordinary typos that static analysis can help catch. Regular use of these tools could help prevent bugs early in development.
Every now and then, we have to write articles about how we've checked another fresh version of some compiler. That's not really much fun. However, as practice shows, if we stop doing that for a while, folks start doubting whether PVS-Studio is worth its title of a good catcher of bugs and vulnerabilities. What if the new compiler can do that too? Sure, compilers evolve, but so does PVS-Studio – and it proves, again and again, its ability to catch bugs even in high-quality projects such as compilers.
Hartmut Kaiser evaluates his experience using the static analysis tool PVS-Studio to analyze the HPX C++ library source code. PVS-Studio found several issues, including an unused variable, an incorrect return type, and a missing copy constructor. Integrating PVS-Studio into continuous integration was seen as very useful. While the tool caught real problems, it also produced some false positives that could be suppressed. Overall the analysis was seen as valuable for finding subtle bugs.
We continue checking Microsoft projects: analysis of PowerShellPVS-Studio
It has become a "good tradition" for Microsoft to make their products open-source: CoreFX, .Net Compiler Platform (Roslyn), Code Contracts, MSBuild, and other projects. For us, the developers of PVS-Studio analyzer, it's an opportunity to check well-known projects, tell people (including the project authors themselves) about the bugs we find, and additionally test our analyzer. Today we are going to talk about the errors found in another project by Microsoft, PowerShell.
IoT 개발자를 위한 Embedded C에서 Test Coverage를 추출해보자Taeyeop Kim
gcov is a tool that reports code coverage statistics when used with GCC. It shows which lines and sections of code were executed and which were not. lcov is a graphical front-end for gcov that produces HTML reports of code coverage. CppUTest is a C/C++ unit testing framework that can be configured to work with gcov to produce code coverage reports when tests are run.
Source code of WPF samples by Microsoft was checkedPVS-Studio
To let people know about PVS-Studio, which is now able to check not only C++ projects, but C# as well, we decided to check the source code of WPF examples, offered by Microsoft.
One of the Microsoft development teams already uses PVS-Studio analyzer in their work. It's great, but it's not enough. That's why I keep demonstrating how static code analysis could benefit developers, using Microsoft projects as examples. We scanned Casablanca project three years ago and found nothing. As a tribute to its high quality, the project was awarded with a "bugless code" medal. As time went by, Casablanca developed and grew. PVS-Studio's capabilities, too, have significantly improved, and now I've finally got the opportunity to write an article about errors found by the analyzer in Casablanca project (C++ REST SDK). These errors are few, but the fact that their number is still big enough for me to make this article, does speak a lot in favor of PVS-Studio's effectiveness.
Comparing Functionalities of PVS-Studio and CppCat Static Code AnalyzersAndrey Karpov
Our company develops two code analyzers to check C/C++ projects: PVS-Studio and CppCat. In this article, we are going to tell you about the functional differences between these two tools.
Rechecking TortoiseSVN with the PVS-Studio Code AnalyzerAndrey Karpov
The author downloaded and analyzed the source code of the TortoiseSVN project using the PVS-Studio static code analyzer. The analysis found several bugs, including identical comparisons, unsafe uses of formatting functions like printf(), and obsolete null checks after memory allocation. While many of the issues would not cause failures, some could lead to undefined behavior, especially in 64-bit systems where pointer sizes are larger than integer types. The author concludes by recommending regular use of static analysis to find bugs early.
PVS-Studio is a tool for detecting bugs and security weaknesses in the source code of programs, written in C, C++, C# and Java. It works under 64-bit systems in Windows, Linux and macOS environments, and can analyze source code intended for 32-bit, 64-bit and embedded ARM platforms.
Static Code Analysis for Projects, Built on Unreal EngineAndrey Karpov
Why Do You Need Static Analysis? Detect errors early in the program development process. Get recommendations on code formatting. Check your spelling. Calculate various software metrics.
The PVS-Studio team is now actively developing a static analyzer for C# code. The first version is expected by the end of 2015. And for now my task is to write a few articles to attract C# programmers' attention to our tool in advance. I've got an updated installer today, so we can now install PVS-Studio with C#-support enabled and even analyze some source code. Without further hesitation, I decided to scan whichever program I had at hand. This happened to be the Umbraco project. Of course we can't expect too much of the current version of the analyzer, but its functionality has been enough to allow me to write this small article.
We have checked the Windows 8 Driver Samples pack with our analyzer PVS-Studio and found various bugs in its samples. There is nothing horrible about it - bugs can be found everywhere, so the title of this article may sound a bit high-flown. But these particular errors may be really dangerous, as it is a usual practice for developers to use demo samples as a basis for their own projects or borrow code fragments from them.
The document summarizes the results of analyzing the OpenCV computer vision library with the PVS-Studio code analyzer. Several real bugs were found in older versions of OpenCV and have since been fixed. New analysis of the current OpenCV version uncovered additional bugs, including copy-paste errors, meaningless loops, misprints in conditions, pointer errors, and poor test cases. The analysis demonstrates that static analysis is useful for finding real bugs in large, complex libraries like OpenCV during development.
Virtual machines are important tools in the arsenal of a software developer. Being an active user of VirtualBox, and checking various open source projects with the help of it, I was personally interested in checking its source code. We did the first check of this project in 2014, and the description of 50 errors barely fit into two articles. With the release of Windows 10 and VirtualBox 5.0.XX the stability of the program got significantly worse, in my humble opinion. So, I decided to check the project again.
Linux version of PVS-Studio couldn't help checking CodeLitePVS-Studio
As is already known to our readers, PVS-Studio static analyzer is exploring a new development direction - the Linux platform; as you may have noticed from the previous articles, it is doing well. This article shows how easily you can check a project with the help of the Linux version of the analyzer, because the simpler PVS-Studio for Linux is, the more supporters it will have. This time our choice was the CodeLite project. CodeLite was compiled and tested in Linux. Let's see what results we got.
Heading for a Record: Chromium, the 5th CheckPVS-Studio
We checked Chromium more than once before, and those who follow our blog could reasonably ask, "Why another check? Weren't there enough of them?" Sure, Chromium's source code is particularly clean, which was shown by each of the previous checks, but new errors inevitably continue to appear. Repeated checks prove that the more often you use static analysis, the better. A good practice is to use the analyzer every day. An even better practice is to analyze the new code right after you finish writing it (automatic analysis of recently modified code).
QTP can be used to test non-GUI applications by accessing APIs and COM objects directly. This allows testing applications via Telnet, FTP, web services, and XML without using the GUI. It increases test speed and avoids synchronization issues. The document discusses using COM objects like WinHTTP and W3Sockets for Telnet, FTP, and web services. It also discusses using Msxml2.DOMDocument to work with XML files and compare them using QTP objects.
Errors that static code analysis does not find because it is not usedAndrey Karpov
Readers of our articles occasionally note that the PVS-Studio static code analyzer detects a large number of errors that are insignificant and don't affect the application. It is really so. For the most part, important bugs have already been fixed due to manual testing, user feedback, and other expensive methods. At the same time, many of these errors could have been found at the code writing stage and corrected with minimal loss of time, reputation and money. This article will provide several examples of real errors, which could have been immediately fixed, if project authors had used static code analysis.
Checking the Open-Source Multi Theft Auto GameAndrey Karpov
We haven't used PVS-Studio to check games for a long time. So, this time we decided to return to this practice and picked out the MTA project. Multi Theft Auto (MTA) is a multiplayer modification for PC versions of the Grand Theft Auto: San Andreas game by Rockstar North that adds online multiplayer functionality. As Wikipedia tells us, the specific feature of the game is "well optimized code with fewest bugs possible". OK, let's ask our analyzer for opinion.
PVS-Studio Now Supports Any Build System under Windows and Any Compiler. Easy...Andrey Karpov
The next PVS-Studio version 5.15 will be able to analyze projects built by absolutely any build system: Makefile, Visual Studio Project, user-made build systems based on Python, Bash or whatever else... It will allow you to simply "watch" compiler calls and collect all the necessary information to run the analyzer in automatic mode. Moreover, it works with any (sensible) C/C++ compiler under Windows. Want to know more?
This document summarizes the analysis of the Qt 5.2.1 framework using the PVS-Studio static analysis tool. PVS-Studio detected 14 typos in Qt's code, including mistakes in variable names, missing comparisons, and identical subexpressions. It also found issues like loss of accuracy from integer division and an error related to operator priority. Overall, the author concludes Qt's code is high-quality but still contains ordinary typos that static analysis can help catch. Regular use of these tools could help prevent bugs early in development.
Every now and then, we have to write articles about how we've checked another fresh version of some compiler. That's not really much fun. However, as practice shows, if we stop doing that for a while, folks start doubting whether PVS-Studio is worth its title of a good catcher of bugs and vulnerabilities. What if the new compiler can do that too? Sure, compilers evolve, but so does PVS-Studio – and it proves, again and again, its ability to catch bugs even in high-quality projects such as compilers.
Hartmut Kaiser evaluates his experience using the static analysis tool PVS-Studio to analyze the HPX C++ library source code. PVS-Studio found several issues, including an unused variable, an incorrect return type, and a missing copy constructor. Integrating PVS-Studio into continuous integration was seen as very useful. While the tool caught real problems, it also produced some false positives that could be suppressed. Overall the analysis was seen as valuable for finding subtle bugs.
We continue checking Microsoft projects: analysis of PowerShellPVS-Studio
It has become a "good tradition" for Microsoft to make their products open-source: CoreFX, .Net Compiler Platform (Roslyn), Code Contracts, MSBuild, and other projects. For us, the developers of PVS-Studio analyzer, it's an opportunity to check well-known projects, tell people (including the project authors themselves) about the bugs we find, and additionally test our analyzer. Today we are going to talk about the errors found in another project by Microsoft, PowerShell.
IoT 개발자를 위한 Embedded C에서 Test Coverage를 추출해보자Taeyeop Kim
gcov is a tool that reports code coverage statistics when used with GCC. It shows which lines and sections of code were executed and which were not. lcov is a graphical front-end for gcov that produces HTML reports of code coverage. CppUTest is a C/C++ unit testing framework that can be configured to work with gcov to produce code coverage reports when tests are run.
Source code of WPF samples by Microsoft was checkedPVS-Studio
To let people know about PVS-Studio, which is now able to check not only C++ projects, but C# as well, we decided to check the source code of WPF examples, offered by Microsoft.
One of the Microsoft development teams already uses PVS-Studio analyzer in their work. It's great, but it's not enough. That's why I keep demonstrating how static code analysis could benefit developers, using Microsoft projects as examples. We scanned Casablanca project three years ago and found nothing. As a tribute to its high quality, the project was awarded with a "bugless code" medal. As time went by, Casablanca developed and grew. PVS-Studio's capabilities, too, have significantly improved, and now I've finally got the opportunity to write an article about errors found by the analyzer in Casablanca project (C++ REST SDK). These errors are few, but the fact that their number is still big enough for me to make this article, does speak a lot in favor of PVS-Studio's effectiveness.
Comparing Functionalities of PVS-Studio and CppCat Static Code AnalyzersAndrey Karpov
Our company develops two code analyzers to check C/C++ projects: PVS-Studio and CppCat. In this article, we are going to tell you about the functional differences between these two tools.
Rechecking TortoiseSVN with the PVS-Studio Code AnalyzerAndrey Karpov
The author downloaded and analyzed the source code of the TortoiseSVN project using the PVS-Studio static code analyzer. The analysis found several bugs, including identical comparisons, unsafe uses of formatting functions like printf(), and obsolete null checks after memory allocation. While many of the issues would not cause failures, some could lead to undefined behavior, especially in 64-bit systems where pointer sizes are larger than integer types. The author concludes by recommending regular use of static analysis to find bugs early.
PVS-Studio is a tool for detecting bugs and security weaknesses in the source code of programs, written in C, C++, C# and Java. It works under 64-bit systems in Windows, Linux and macOS environments, and can analyze source code intended for 32-bit, 64-bit and embedded ARM platforms.
Static Code Analysis for Projects, Built on Unreal EngineAndrey Karpov
Why Do You Need Static Analysis? Detect errors early in the program development process. Get recommendations on code formatting. Check your spelling. Calculate various software metrics.
The PVS-Studio team is now actively developing a static analyzer for C# code. The first version is expected by the end of 2015. And for now my task is to write a few articles to attract C# programmers' attention to our tool in advance. I've got an updated installer today, so we can now install PVS-Studio with C#-support enabled and even analyze some source code. Without further hesitation, I decided to scan whichever program I had at hand. This happened to be the Umbraco project. Of course we can't expect too much of the current version of the analyzer, but its functionality has been enough to allow me to write this small article.
We have checked the Windows 8 Driver Samples pack with our analyzer PVS-Studio and found various bugs in its samples. There is nothing horrible about it - bugs can be found everywhere, so the title of this article may sound a bit high-flown. But these particular errors may be really dangerous, as it is a usual practice for developers to use demo samples as a basis for their own projects or borrow code fragments from them.
The document summarizes the results of analyzing the OpenCV computer vision library with the PVS-Studio code analyzer. Several real bugs were found in older versions of OpenCV and have since been fixed. New analysis of the current OpenCV version uncovered additional bugs, including copy-paste errors, meaningless loops, misprints in conditions, pointer errors, and poor test cases. The analysis demonstrates that static analysis is useful for finding real bugs in large, complex libraries like OpenCV during development.
Virtual machines are important tools in the arsenal of a software developer. Being an active user of VirtualBox, and checking various open source projects with the help of it, I was personally interested in checking its source code. We did the first check of this project in 2014, and the description of 50 errors barely fit into two articles. With the release of Windows 10 and VirtualBox 5.0.XX the stability of the program got significantly worse, in my humble opinion. So, I decided to check the project again.
Linux version of PVS-Studio couldn't help checking CodeLitePVS-Studio
As is already known to our readers, PVS-Studio static analyzer is exploring a new development direction - the Linux platform; as you may have noticed from the previous articles, it is doing well. This article shows how easily you can check a project with the help of the Linux version of the analyzer, because the simpler PVS-Studio for Linux is, the more supporters it will have. This time our choice was the CodeLite project. CodeLite was compiled and tested in Linux. Let's see what results we got.
Heading for a Record: Chromium, the 5th CheckPVS-Studio
We checked Chromium more than once before, and those who follow our blog could reasonably ask, "Why another check? Weren't there enough of them?" Sure, Chromium's source code is particularly clean, which was shown by each of the previous checks, but new errors inevitably continue to appear. Repeated checks prove that the more often you use static analysis, the better. A good practice is to use the analyzer every day. An even better practice is to analyze the new code right after you finish writing it (automatic analysis of recently modified code).
QTP can be used to test non-GUI applications by accessing APIs and COM objects directly. This allows testing applications via Telnet, FTP, web services, and XML without using the GUI. It increases test speed and avoids synchronization issues. The document discusses using COM objects like WinHTTP and W3Sockets for Telnet, FTP, and web services. It also discusses using Msxml2.DOMDocument to work with XML files and compare them using QTP objects.
Errors that static code analysis does not find because it is not usedAndrey Karpov
Readers of our articles occasionally note that the PVS-Studio static code analyzer detects a large number of errors that are insignificant and don't affect the application. It is really so. For the most part, important bugs have already been fixed due to manual testing, user feedback, and other expensive methods. At the same time, many of these errors could have been found at the code writing stage and corrected with minimal loss of time, reputation and money. This article will provide several examples of real errors, which could have been immediately fixed, if project authors had used static code analysis.
Checking the Open-Source Multi Theft Auto GameAndrey Karpov
We haven't used PVS-Studio to check games for a long time. So, this time we decided to return to this practice and picked out the MTA project. Multi Theft Auto (MTA) is a multiplayer modification for PC versions of the Grand Theft Auto: San Andreas game by Rockstar North that adds online multiplayer functionality. As Wikipedia tells us, the specific feature of the game is "well optimized code with fewest bugs possible". OK, let's ask our analyzer for opinion.
PVS-Studio Now Supports Any Build System under Windows and Any Compiler. Easy...Andrey Karpov
The next PVS-Studio version 5.15 will be able to analyze projects built by absolutely any build system: Makefile, Visual Studio Project, user-made build systems based on Python, Bash or whatever else... It will allow you to simply "watch" compiler calls and collect all the necessary information to run the analyzer in automatic mode. Moreover, it works with any (sensible) C/C++ compiler under Windows. Want to know more?
Clang static analyzer found some errors in PVS-Studio source code when it was checked against Clang. The errors included using uninitialized variables, uninitialized pointers, and unsafe type conversions. While not critical bugs, they indicate areas for improvement. Clang also reported some false positives but helped uncover unused code that could be removed. Overall, using Clang provided a useful review of PVS-Studio and highlighted opportunities to strengthen the code quality.
The Price of Fixing One Bug in Our Programs, or Exotic Bugs in PVS-Studio and...Andrey Karpov
One of the most frequently asked questions we get from the readers of our articles is, "Do you use your analyzer to check its own code?" We usually answer that we have a practice of checking our code right in the course of writing it with the help of incremental analysis (it is a mode when individual files are analyzed right after compilation). Besides, we regularly run night checks of the whole code. Because of that, we, "unfortunately", will never get a chance to write an article about bugs found in our own software products.
Computer & Video Game Archive @MLibraryDave Carter
The document discusses the establishment of a Computer & Video Game Archive at the University of Michigan's Art, Architecture and Engineering Library. It provides justification for the archive by noting the growing academic interest in games. It outlines what materials will be collected, including both current and historical games, hardware, and supporting reference materials. The summary describes how the archive was planned and set up, including acquiring a dedicated space, and hiring staff. It provides some statistics on the archive's initial usage and impact.
Comparison of static code analyzers: CppCat, Cppcheck, PVS-Studio and Visual ...Andrey Karpov
We have carried out a thorough comparison of four analyzers for C/C++ code: CppCat, Cppcheck, PVS-Studio and Visual Studio's built-in analyzer. It is a serious, large investigation that we had spent about 170 man-hours on and which, in our opinion, gives a good idea of the general state of things in static analysis nowadays.
Still Comparing "this" Pointer to Null?Andrey Karpov
This is a translation of an article written by Dmitry Meshcheryakov, an ABBYY employee and first published here: "ABBYY blog. Still Comparing "this" Pointer to Null?". Translation done and published with permission of the copyright holder.
The Source SDK is a software development kit compiled by Valve Corporation that is used to create games or mods for the Source engine. I downloaded and checked the project's source codes at the end of 2013 already and intended to write an article about it during the New Year holidays. But laziness prevailed over the craving for creativity, and I sat down to writing the article only on getting back to work. However, I doubt that the source codes have changed during this time. Now you are welcome to have a look at the suspicious code fragments found in the project code by the PVS-Studio code analyzer.
A Bonus to the "Three Interviews About Static Analyzers" Article, or Intervie...Andrey Karpov
About a week ago, I published the "Three Interviews About Static Code Analyzers" article at Habrahabr.
This article presents opinions of three experienced programmers from the companies Acronis,
AlternativaPlatform and Echelon Company concerning software development methodologies as well as
some of their ideas about using static code analyzers.
Since the article was sponsored by the OOO "Program Verification Systems" company, developer of the
PVS-Studio static analyzer, I asked Andrey Karpov (CTO) to answer some questions too. In particular, I
asked him to comment upon the most interesting aspects and ideas of all the three interviews and say a
few words for colleagues and readers, too. Here's what we've got - one more interesting interview.
What's the Difference Between Static Analysis and Compiler Warnings?Andrey Karpov
Visiting forums, you can often meet people who believe that compiler warnings are more than enough for controlling the basic types of errors in programs' code. I want to show you that it's a wrong belief.
Specialized static analysis tools and standard compiler warnings are both oriented towards improving the quality of the source code and minimizing potential bugs which are difficult to catch through debugging. One way or another, the compiler relies on static analysis of the source code during compilation to generate its warnings, but the quality of diagnostics and their scope of use vary greatly from one analysis method to another.
A Check of the Open-Source Project WinSCP Developed in Embarcadero C++ BuilderAndrey Karpov
We regularly check open-source C/C++ projects, but what we check are mostly projects developed in the Visual Studio IDE. For some reason, we haven't paid much attention to the Embarcadero C++ Builder IDE. In order to improve this situation, we are going to discuss the WinSCP project I have checked recently.
P.S. C++ Builder support in PVS-Studio had been dropped after version 5.20. If you have any questions, feel free to contact our support.
You can now use PVS-Studio with Visual Studio absent; just give it the prepro...Andrey Karpov
The new version of the static code analyzer PVS-Studio 5.10 comes with a small utility PVS-Studio Standalone which you may even miss at first. I'd say that's one small step for mankind but one big leap for PVS-Studio :) You can use the current version of this utility in two (for now) ways:
1. View analysis results (the .plog file) saved on another computer without running the Visual Studio IDE.
2. Analyze preprocessed files (generated by any preprocessor beforehand) without a preprocessor and project files or makefiles.
This article is meant for those programmers who are only getting started with the Visual Studio environment and trying to compile their C++ projects under it. Everything looks strange and complicated in an unfamiliar environment, and novices are especially irritated by the stdafx.h file that causes strange errors during compilation. Pretty often it all ends in them diligently turning off all precompiled headers in every project. We wrote this article to help Visual Studio newcomers to figure it all out.
A Long-Awaited Check of Unreal Engine 4Andrey Karpov
On March 19, 2014, Unreal Engine 4 was made public available. Subscription costs only $19 per month. The source codes have also been published at the github repository. Since that moment, we have received quite a number of e-mails, twitter messages, etc., people asking to check this game engine. So we are fulfilling our readers' request in this article; let's see what interesting bugs the PVS-Studio static code analyzer has found in the project's source code.
Tesseract. Recognizing Errors in Recognition SoftwareAndrey Karpov
Tesseract is a free software program for text recognition developed by Google. According to the project description, "Tesseract is probably the most accurate open source OCR engine available". And what if we try to catch some bugs there with the help of the CppCat analyzer?
An application for regression testing of the PVS-Studio and CppCat analyzers.
Implementing the mechanism of regression testing of the static code analyzers PVS-Studio and CppCat.
Ensuring that tests are run on a large number of open-source C/C++ projects.
Ensuring testing of the analyzers’ operation under all the supported Visual Studio versions.
Providing convenient handling of the differences list, quick view feature, apply changes feature, and so on.
Comparing the general static analysis in Visual Studio 2010 and PVS-Studio by...Andrey Karpov
The article demonstrates errors detected with the static code analyzer integrated into Visual Studio 2010. The research was performed on five open source projects. The same projects were also checked with PVS-Studio. Results of comparing these two tools are presented at the end of the article.
This document provides an overview of using the PVS-Studio static code analysis tool for Visual C++ projects in Visual Studio. It describes how to install and configure PVS-Studio, analyze a project, work with diagnostic messages, use the incremental analysis feature to check for errors as code is written, and suppress false positives. The tool integrates directly into Visual Studio and can detect many types of errors like typos, logic errors, and security issues.
Difficulties of comparing code analyzers, or don't forget about usabilityPVS-Studio
Users' desire to compare different code analyzers is natural and understandable. However, it's not so easy to fulfill this desire as it may seem at first sight. The point is that you don't know what particular factors must be compared.
Difficulties of comparing code analyzers, or don't forget about usabilityAndrey Karpov
This document discusses the difficulties in comparing code analyzers based on usability. Simply comparing metrics like number of diagnostics or speed is unreasonable because they don't reflect how usable a tool is for a particular project or user. The document analyzes six usability issues with an analyzer integrated into Visual Studio compared to PVS-Studio when analyzing the eMule project, such as inability to save analysis results or filter duplicate messages. While the Visual Studio analyzer was faster, it took much longer to complete analysis due to usability issues. The document concludes that usability is very important for comparing analyzers and there is no single best tool, only what is better for a specific project and user.
Difficulties of comparing code analyzers, or don't forget about usabilityPVS-Studio
Users' desire to compare different code analyzers is natural and understandable. However, it's not so easy to fulfill this desire as it may seem at first sight. The point is that you don't know what particular factors must be compared.
PVS-Studio advertisement - static analysis of C/C++ codePVS-Studio
This document advertises the PVS-Studio static analyzer. It describes how using PVS-Studio reduces the number of errors in code of C/C++/C++11 projects and costs on code testing, debugging and maintenance. A lot of examples of errors are cited found by the analyzer in various Open-Source projects. The document describes PVS-Studio at the time of version 4.38 on October 12-th, 2011, and therefore does not describe the capabilities of the tool in the next versions. To learn about new capabilities, visit the product's site http://www.viva64.com or search for an updated version of this article.
Static Analysis: From Getting Started to IntegrationAndrey Karpov
Sometimes, tired of endless code review and debugging, you start wondering if there are ways to make your life easier. After some googling or merely by accident, you stumble upon the phrase, "static analysis". Let's find out what it is and how it can be used in your project.
Comparing static analysis in Visual Studio 2012 (Visual C++ 2012) and PVS-StudioPVS-Studio
After Visual Studio 2012 was released with a new static analysis unit included in all of the product's editions, a natural question arises: "Is PVS-Studio still relevant as a static analysis tool or can it be replaced by the tool integrated into VS?". A detailed answer with examples is given in this article. We have performed interface and usability comparison as well as a comparison of error diagnosis strength in real software code. The comparison was carried out on the source code of three open-source projects by id Software: Doom 3, Quake 3: Arena, Wolfenstein: Enemy Territory.
An Ideal Way to Integrate a Static Code Analyzer into a ProjectPVS-Studio
One of the most difficult things about using static analysis tools is managing false positives. There are a number of ways to eliminate them using the analyzer's settings or changing the code itself. I took a small project Apple II emulator for Windows as an example to show you how you can handle PVS-Studio's analysis report, and demonstrate by a number of examples how to fix errors and suppress false positives.
PVS-Studio analyzed the Boost library and found 7 potential bugs or issues. The issues included a misprint that caused division by zero, incorrect class member initialization, memory being released incorrectly with auto_ptr, a condition that would always be true due to unsigned socket type, another misprint where a variable wasn't assigned a value, potential for infinite loop when reading from a stream, and suspicious subtraction of identical values. Finding even a small number of issues in a heavily used and reviewed library like Boost demonstrates the tool's effectiveness at static analysis.
War of the Machines: PVS-Studio vs. TensorFlowPVS-Studio
The document summarizes the analysis of the TensorFlow machine learning library using the PVS-Studio static code analyzer. Some key findings include:
1. PVS-Studio found 64 instances of false positives related to the DCHECK debugging macro that were suppressed. Explanations of how to address false positives were provided.
2. Various PVS-Studio settings like disabling diagnostics rules and excluding automatically generated files helped filter the analysis output.
3. Genuine errors found include a null pointer dereference that could lead to undefined behavior and a redundant null check.
Static analysis is most efficient when being used regularly. We'll tell you w...PVS-Studio
The document discusses best practices for using static code analysis tools to maximize their effectiveness. It recommends: 1) Marking false positives to reduce future messages, 2) Using incremental analysis to check modified files, 3) Checking files modified in the last few days, and 4) Running analysis nightly on a build server. Following all recommendations provides the highest return on investment in static analysis by catching errors earlier in development.
Static analysis is most efficient when being used regularly. We'll tell you w...Andrey Karpov
Some of our users run static analysis only occasionally. They find new errors in their code and, feeling glad about this, willingly renew PVS-Studio licenses. I should feel glad too, shouldn't I? But I feel sad - because you get only 10-20% of the tool's efficiency when using it in such a way, while you could obtain at least 80-90% if you used it otherwise. In this post I will tell you about the most common mistake among users of static code analysis tools.
This post is about love. About the love of the static code analyzer PVS-Studio, for the great open source Linux operating system. This love is young, touching and fragile. It needs help and care. You will help greatly if you volunteer to help testing the beta-version of PVS-Studio for Linux.
Regular use of static code analysis in team developmentPVS-Studio
Static code analysis technologies are used in companies with mature software development processes. However, there might be different levels of using and introducing code analysis tools into a development process: from manual launch of an analyzer "from time to time" or when searching for hard-to-find errors to everyday automatic launch or launch of a tool when adding new source code into the version control system.
Regular use of static code analysis in team developmentPVS-Studio
Static code analysis technologies are used in companies with mature software development processes. However, there might be different levels of using and introducing code analysis tools into a development process: from manual launch of an analyzer "from time to time" or when searching for hard-to-find errors to everyday automatic launch or launch of a tool when adding new source code into the version control system.
The article discusses different levels of using static code analysis technologies in team development and shows how to "move" the process from one level to another. The article refers to the PVS-Studio code analyzer developed by the authors as an example.
Regular use of static code analysis in team developmentAndrey Karpov
Static code analysis technologies are used in companies with mature software development processes. However, there might be different levels of using and introducing code analysis tools into a development process: from manual launch of an analyzer "from time to time" or when searching for hard-to-find errors to everyday automatic launch or launch of a tool when adding new source code into the version control system.
The article discusses different levels of using static code analysis technologies in team development and shows how to "move" the process from one level to another. The article refers to the PVS-Studio code analyzer developed by the authors as an example.
New Year PVS-Studio 6.00 Release: Scanning RoslynPVS-Studio
The long wait is finally over. We have released a static code analyzer PVS-Studio 6.00 that supports the analysis of C# projects. It can now analyze projects written in languages C, C++, C++/CLI, C++/CX, and C#. For this release, we have prepared a report based on the analysis of open-source project Roslyn. It is thanks to Roslyn that we were able to add the C# support to PVS-Studio, and we are very grateful to Microsoft for this project.
The article describes the testing technologies used when developing PVS-Studio static code analyzer. The developers of the tool for programmers talk about the principles of testing their own program product which can be interesting for the developers of similar packages for processing text data or source code.
PVS-Studio's New Message Suppression MechanismAndrey Karpov
The PVS-Studio analyzer already has a false positive suppression mechanism, and it completely suits us
when its functionality is concerned, i.e. we have no complaints about its reliability. However, some of
our customers would like to work with the messages generated by the analyzer only for new, i.e. freshly
written, code. And we can understand why they want it, since we know that the analyzer generates
thousands or even dozens of thousands of messages for the existing source code in a large-scale project
and surely no one would feel like fixing all of them.
The
The document discusses Visual Studio's live static code analysis feature. It explains that this feature analyzes code in real-time as it is written, without requiring compilation, to detect errors and potential issues based on installed code analyzers. The document demonstrates how to install and use code analyzers through examples, showing how analyzers detect issues and provide suggestions to fix problems directly in the code editor through light bulb notifications. It provides a case study walking through fixing various issues detected in sample code using suggestions from an analyzer to iteratively improve the code quality.
Здесь вы найдёте 60 вредных советов для программистов и пояснение, почему они вредные. Всё будет одновременно в шутку и серьёзно. Как бы глупо ни смотрелся вредный совет, он не выдуман, а подсмотрен в реальном мире программирования.
In this article, you're going to find 60 terrible coding tips — and explanations of why they are terrible. It's a fun and serious piece at the same time. No matter how terrible these tips look, they aren't fiction, they are real: we saw them all in the real programming world.
Ошибки, которые сложно заметить на code review, но которые находятся статичес...Andrey Karpov
Есть ошибки, которые легко прячутся от программистов на обзорах кода. Чаще всего они связаны с опечатками или недостаточным знанием тонких нюансах языка/библиотеки. Давайте посмотрим интересные примеры таких ошибок и как их можно выявить с помощью статического анализа. При этом анализаторы не конкурируют с обзорами кода или, например, юнит-тестами. Они отлично дополняют другие методологии борьбы с ошибками.
PVS-Studio analyzes source code and finds various errors and code quality issues across multiple languages and frameworks. The document highlights 20 examples of issues found, including uninitialized variables, unreachable code, incorrect operations, security flaws, and typos. PVS-Studio is able to find these issues using techniques such as data-flow analysis, method annotation analysis, symbolic execution, type inference, and pattern-based analysis to precisely evaluate the code and pinpoint potential bugs or code smells.
When should you start using PVS-Studio? What can PVS-Studio detect? Supported standards: MISRA, CWE, CERT, OWASP, AUTOSAR. What about analysis options? What about legacy code?
Двойное освобождение ресурсов. Недостижимый код. Некорректные операции сдвига. Неправильная работа с типами. Опечатки и copy-paste. Проблемы безопасности. Путаница с приоритетом операций.
Make Your and Other Programmer’s Life Easier with Static Analysis (Unreal Eng...Andrey Karpov
George Gribkov presented on how to introduce static analysis to make programmers' and QA engineers' lives easier. Static analysis automatically checks code for bugs without executing it. While initial attempts to analyze Unreal Engine 4 failed, monitoring compiler calls directly succeeded in finding over 1800 warnings. Epic Games now uses continuous static analysis to receive early warnings. The best practices are to start analysis early and regularly in development and CI/CD pipelines, and to gradually fix old warnings using suppression files to ratchet down reported issues over time. Static and dynamic analysis complement each other to thoroughly check for errors.
Best Bugs from Games: Fellow Programmers' MistakesAndrey Karpov
George Gribkov will present on errors found in the code of popular games like System Shock, Doom 3, and osu!. He will discuss how his tool searches for code errors, provide examples of bugs detected, and conclude his presentation. The examples will showcase issues like unused variables, incorrect increment variables in for loops, null pointer dereferences, and misunderstandings of operators like ??. Corrections will be proposed to address the bugs.
Does static analysis need machine learning?Andrey Karpov
This document discusses whether static analysis needs machine learning. It begins with an introduction to static analysis and outlines existing static analysis solutions like DeepCode, Infer, SapFix, Embold, Source{d}, Clever-Commit, and CodeGuru. It then addresses problems with learning manually or from real large code bases, like outdated code and lack of documentation. Finally, it discusses promising approaches like analyzing code style, collecting additional metrics, and best practices for specific frameworks.
Typical errors in code on the example of C++, C#, and JavaAndrey Karpov
Objectives of this webinar
How we detected error patterns
Patterns themselves and how to avoid them:
3.1 Copy-paste and last line effect
3.2 if (A) {...} else if (A)
3.3 Errors in checks
3.4 Array index out of bounds
3.5 Operator precedence
3.6 Typos that are hard to spot
How to use static analysis properly
Conclusion
Q&A
How to Fix Hundreds of Bugs in Legacy Code and Not Die (Unreal Engine 4)Andrey Karpov
How to fight bugs in legacy code?
Should you do it at all?
What to do if there are hundreds or even thousands of errors?(that’s usually the case)
How to avoid spending a plethora of man-hours on this?
And still, how did you work with Unreal Engine?
C++ Code as Seen by a Hypercritical ReviewerAndrey Karpov
We all do code reviews. Who doesn't admit this – does it twice as often. C++ code reviewers look like a sapper. .. except that they can make a mistake more than once. But sometimes the consequences are painful . Brave code review world.
The Use of Static Code Analysis When Teaching or Developing Open-Source SoftwareAndrey Karpov
The document discusses using static code analysis when teaching or developing open-source software. It outlines how static analysis can help instructors check student homework and projects more efficiently, and help students learn about error patterns. When using static analysis for open-source projects, it recommends integrating it into developers' workflows locally and via continuous integration systems. Regular use is key to maximizing its benefits for finding and fixing bugs.
Are С and C++ Alive? Even More, IBM RPG Is! C and C++ Are Not Just for Old Systems. Are С and C++ Alive? Summary for C, C++. Embedded: C and С++ Are on the Rise.
Zero, one, two, Freddy's coming for youAndrey Karpov
This post continues the series of articles, which can well be called "horrors for developers". This time it will also touch upon a typical pattern of typos related to the usage of numbers 0, 1, 2. The language you're writing in doesn't really matter: it can be C, C++, C#, or Java. If you're using constants 0, 1, 2 or variables' names contain these numbers, most likely, Freddy will come to visit you at night. Go on, read and don't say we didn't warn you.
PVS-Studio Is Now in Chocolatey: Checking Chocolatey under Azure DevOpsAndrey Karpov
The document discusses integrating the PVS-Studio static code analyzer with Azure DevOps and Chocolatey. It provides steps to configure a build pipeline in Azure DevOps to install PVS-Studio using Chocolatey, run analysis on a project, and publish the results. The analysis found several potential bugs in the Chocolatey code including logical errors, redundant checks, and null reference issues. Integrating PVS-Studio with these tools helps improve code quality.
PVS-Studio Static Analyzer as a Tool for Protection against Zero-Day Vulnerab...Andrey Karpov
A Zero-day (0-day) vulnerability is a computer-software vulnerability introduced during the development process and not yet discovered by the developers. Zero-day vulnerabilities can be exploited by hackers, thus affecting the company's reputation. Developers should seek to minimize the number of defects leading to such vulnerabilities. PVS-Studio, a static code analyzer for C, C++, C#, and Java code, is one of the tools capable of detecting security issues.
DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
Are you ready to unlock the secrets hidden within Java thread dumps? Join us for a hands-on session where we'll delve into effective troubleshooting patterns to swiftly identify the root causes of production problems. Discover the right tools, techniques, and best practices while exploring *real-world case studies of major outages* in Fortune 500 enterprises. Engage in interactive lab exercises where you'll have the opportunity to troubleshoot thread dumps and uncover performance issues firsthand. Join us and become a master of Java thread dump analysis!
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Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
14 th Edition of International conference on computer visionShulagnaSarkar2
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WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
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Liberarsi dai framework con i Web Component.pptxMassimo Artizzu
In Italian
Presentazione sulle feature e l'utilizzo dei Web Component nell sviluppo di pagine e applicazioni web. Racconto delle ragioni storiche dell'avvento dei Web Component. Evidenziazione dei vantaggi e delle sfide poste, indicazione delle best practices, con particolare accento sulla possibilità di usare web component per facilitare la migrazione delle proprie applicazioni verso nuovi stack tecnologici.
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
Boost Your Savings with These Money Management AppsJhone kinadey
A money management app can transform your financial life by tracking expenses, creating budgets, and setting financial goals. These apps offer features like real-time expense tracking, bill reminders, and personalized insights to help you save and manage money effectively. With a user-friendly interface, they simplify financial planning, making it easier to stay on top of your finances and achieve long-term financial stability.
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
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- Discussing common design patterns such as Object-Oriented Design.
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- Explore how user experience can improve software acceptance and usability.
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4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdfBaha Majid
IBM watsonx Code Assistant for Z, our latest Generative AI-assisted mainframe application modernization solution. Mainframe (IBM Z) application modernization is a topic that every mainframe client is addressing to various degrees today, driven largely from digital transformation. With generative AI comes the opportunity to reimagine the mainframe application modernization experience. Infusing generative AI will enable speed and trust, help de-risk, and lower total costs associated with heavy-lifting application modernization initiatives. This document provides an overview of the IBM watsonx Code Assistant for Z which uses the power of generative AI to make it easier for developers to selectively modernize COBOL business services while maintaining mainframe qualities of service.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
1. PVS-Studio for Visual C++
Author: Andrey Karpov
Date: 29.10.2013
At some moment, long ago, we somehow started to cover in our articles any subject but the PVS-Studio tool
itself. We told you about the projects we checked and the C++ language's subtle details; we told you how to
create plugins in C# or how to launch PVS-Studio from the command line... But PVS-Studio is first of all
meant for developers working in Visual Studio. We've done quite a lot to make it easier and more
comfortable for them to use our tool. Yet this particular aspect usually stays off screen. Now I decided to
improve that and tell you about the PVS-Studio plugin from scratch. If you are a Visual C++ user, this article
is for you.
What static code analysis is and why we need it
Static code analysis is the process of detecting software errors and defects in the source code of computer
programs. Think of static analysis as an automated code review technique. Joint code review as such is a
wonderful method, but it has one crucial drawback - a high cost. It's expensive because you have to gather
together several programmers regularly so that they could review a new code or re-review a modified code.
On the one hand, one wants code review to be done regularly; on the other hand, one can't afford it. Static
code analysis tools are a compromise solution. They can check tons of source codes without getting tired
and give recommendations to the programmer about which code fragments should be given special
consideration. Static analyzers will certainly never replace a good code review performed by a team of
programmers, but the high ratio usefulness/price makes static analysis a very helpful methodology adopted
by many companies.
There are many commercial and free static code analyzers. A large list of them can be found on Wikipedia:
List of tools for static code analysis. The number of languages supported by static analyzers is also very big
(C, C++, C#, Java, Ada, Fortran, Perl, Ruby, ...). In this article we are going to discuss the PVS-Studio analyzer,
of course.
What makes static analysis so valuable is that it can significantly reduce the cost of eliminating defects from
the program code. The earlier a bug was found, the cheaper it is to fix it. According to the book "Code
2. Complete" by S. McConnell, fixing an error at the testing stage is ten times more expensive than at the code
writing stage:
Figure 1. An average cost of error fixing depending on the time the error was added into the code and the
time it was detected (the figures for this table are taken from the book "Code Complete" by S. McConnell).
Click on the picture to enlarge it.
Static analysis tools allow one to reveal many errors that appear at the code writing stage, which makes the
development of the whole project much cheaper. For example, the PVS-Studio analyzer can run in the
background right after compilation and report any potential bug to the programmer. I'll tell you about this
mode in detail a bit later.
The subjects of code review and static analysis are discussed in detail in the articles found by the links in the
References section [1, 2, 3].
The PVS-Studio static code analyzer
PVS-Studio is a static analyzer for detecting bugs in the source code of applications written in C, C++, C++11,
C++/CX. First of all, it is designed for Visual Studio users (see the product page for details about supporting
other IDEs). The analyzer integrates firm and smooth into any version of the environment within the range
VS2005 - VS2012. We're also adding support for VS2013 soon. Once the tool has been integrated, users will
3. see a new item "PVS-Studio" in the main menu and a window where to handle diagnostic messages
generated by the analyzer (see Figure 2).
Figure 2. The main elements added by the PVS-Studio analyzer plugin after integration into Visual Studio.
Click on the picture to enlarge it.
4. Initial settings
The analyzer is ready for work right after installation. In most cases it won't require you to customize
anything before the first run. The only option you may need in the very beginning is that of excluding third-party
libraries from analysis: you won't change anything in the source codes of the jpeg library anyway - so,
no need to check it. Besides, excluding some folders from analysis will reduce the analysis time. To specify
the folders you want to exclude from analysis, go to the following settings window: Options->Dont't Check
Files->PathMasks (see Figure 3).
5. Figure 3. Editing the list of folders you don't want to be checked. Click on the picture to enlarge it.
If the full file path contains one of the specified names, analysis won't run for them. By default the list
includes the names of certain folders. However, the folder containing the ZLib library may have a different
name in your project - for example "zip_lib" instead of "zlib". That's why you may need to edit this list first.
To start editing click on the button with three dots.
These are examples of legal masks for the PathMasks list:
• c:Libs — all the files of the current project which are stored in the specified folder and its
subfolders will be excluded.
• Libs or *Libs* — all the files stored in the folders whose paths contain the "Libs" subfolder will
be excluded. If the "*" characters are missing, they will be added automatically, so both the ways of
specifying this mask are legal.
• Libs or *Libs* — all the files will be excluded whose paths contain the subfolder which has 'Libs' as
its name or part of its name. Also, in this case, all the files will be excluded whose names have the
word Libs, for example c:projectmylibs.cpp. To avoid confusion, we recommend that you always
use slashes.
Besides excluding entire folders, you may specify masks for excluding individual files. This is done through
the FileNameMasks option. To learn more about how to handle exclusion lists, see the documentation:
Settings: Don't Check Files.
6. Checking the project
Once you're done with the preliminary customization, you can start the analysis of your project. I suggest
that you try checking the entire solution at once. To do that, select PVS-Studio->Check->Solution (see Figure
4).
Figure 4. Checking a solution with the PVS-Studio analyzer.
If any troubles occur when trying to run the analysis, see the section "Troubleshooting FAQ" at our website
for useful tips. Those are not stupid recommendations of the "make sure the plug is plugged into a wall
outlet" kind; no, this section describes typical issues encountered by users and suggests certain algorithms
of actions to solve them.
Handling the list of diagnostic messages
Once the analysis is complete, all the diagnostic messages will be displayed inside a special window. This has
a number of control items, all of them designed for filtering the messages in various ways to make
navigation among them more convenient. However, you may find the layout of the window too complicated
at first, so let's examine all the control items closer (see Figure 5).
7. Figure 5. The window with diagnostic messages. Click on the picture to enlarge it.
1. The PVS-Studio window itself.
2. Show/hide messages of the "something gone wrong" kind; for example, some file wasn't processed
correctly.
3. Show/hide messages belonging to different severity levels. On the screenshot, the messages of all
the three levels are shown, 132 of them referring to the first level, 235 to the second, and 390 to
the third. A message's severity level is shown as an emblem of a triangle with a number in the
second left column.
4. Active sets of diagnostic rules. GA stands for the general analysis diagnostics, OP for
microoptimizations, 64 for 64-bit diagnostics, MP for OpenMP-related diagnostics, and CS for
custom diagnostics proposed by users. On the screenshot, displaying of the diagnostics from the
sets GA and MP is enabled.
5. Show/hide messages marked as false positives. On the screenshot, this option is enabled. To learn
more about it, see the documentation: Suppression of false alarms.
6. Search through the diagnostic messages.
7. Quick filters. For example, you can set them to show only messages with the code V501 for the
project XYZ.
8. Move to the next/previous message. When a message is selected, the corresponding file is opened
and the cursor is set at the line containing a potential bug. Also, you may in any time select a
message from the list by double-clicking on it.
9. Open the settings window.
The table with the diagnostic messages is made up of a number of columns:
• Star. It doesn't mean anything special; the user is free to interpret it as he likes. For example, you
may use it to mark the most interesting warnings you'd like to study closer later. It's something like
marking letters with stars in the email clients like Thunderbird or Outlook.
• Severity Level. The severity level the message refers to, the 1-st level including the most critical and
possibly most dangerous issues, the 3-rd level including small, non-critical mistakes or warnings
which are most likely false positives.
• ID. A unique number assigned to every message. You may need this when dealing with a large list.
For example, you may move to a particular message by its number (see the item "Navigate to ID..."
of the drop-down menu).
• Code. The code of the message. Clicking on it opens the description of the warning.
8. • Message. The text of the diagnostic message.
• Project. The project name (you can hide this column through the drop-down menu).
• File. The file name.
• Line. The line number. Important! Note that there may be three dots after the line number for
some messages, for example "123 (...)". Clicking on this number opens the list of all the code lines
this message refers to, so you can navigate to each of them from the list.
• The "False Alarm" mark. This is a mark showing that the warning is a false positive. Keep in mind
that false positives are only shown if button 5 is pressed (see Figure 5).
It all was tiresome to read, wasn't it? But I assure you that you'll get used to the tool very quickly once you
start using it. And you will very rarely have to customize anything.
The drop-down menu
So, double-clicking on a message gets you to the corresponding code fragment, whereas right-clicking calls
the drop-down menu.
The menu is pretty simple and we don't want to overload the article with a detailed description of each
menu item. If anything is not clear, refer to the documentation.
However, I'd like to speak of one very useful feature in particular.
Remember you can choose folders/files to be excluded from analysis (Figure 2)? Well, this operation can be
done in a much easier way than it seems!
Note the item "Don't check files and hide all messages from...". When clicking on it, you'll see a drop-down
list of paths you can add into the exclusion list (see Figure 6).
Figure 6. Excluding files from analysis. Click on the picture to enlarge it.
You can choose both an individual file and an entire folder. On the screenshot, we're selecting the folder
"E:[Build]VirualDubsrctest". It means that all the files in this folder and its subfolders will be excluded
9. from analysis. Besides, all the messages related to these files will be hidden in the message list at once.
Convenient, isn't it? You don't have to relaunch analysis to hide all the warnings generated for tests (the
"test" folder), for example.
Incremental analysis mode
This manual about getting started with PVS-Studio would be incomplete without the description of a very
important and useful feature of the tool - incremental code analysis.
We know that the earlier a bug is found, the cheaper it is to fix it. Ideally, bugs should be underlined right as
the code is being written. But this is hard and resource-intensive to implement from the technical
viewpoint. Instead, PVS-Studio starts in the background right after the modified code has been compiled.
Thus, the tool is searching for bugs in the code that has been modified right now. The analysis running
status is indicated by a tray icon.
Whenever a bug is found, a pop-out message appears to warn you (see Figure 7) about a possible error.
Figure 7. A pop-out message informing you that potential bugs have been found in the recently modified
files.
If you click on this message, the PVS-Studio window will open (see Figure 2) where you can examine the
suspicious code fragments.
You'd really better try this mode yourself - you'll understand it much easier that way than from my
explanation. In short, it works in this way: you go on writing the code as usual, and the analyzer will bother
you if necessary. Do try it!
We always use this mode ourselves. Yes, we sometime make mistakes when writing code too, and being
able to fix them right away makes it much easier and quicker to find the defect and figure out why the
program behaves in a non-expected way. It's a pity when you waste 15-20 minutes on debugging just to find
a typo in some index. Here's one of the latest examples when PVS-Studio found a bug inside itself right after
it had been added into the code:
if (in[0] == '' && in[1] == '.' && in[1] == '')
{
in += 2;
continue;
}
10. But that's just trifles, of course. PVS-Studio sometimes proves much more useful. For example, here's a
comment by one of our users describing his experience of using the analyzer: "A User's Experience of
Working with the Analyzer". The text sets you thinking, doesn't it?
To sum it up: incremental analysis is surely a must-try. You'll get to like it once you've found a few bugs in
your freshly written code.
PVS-Studio's capabilities
Now, let's be brief. It's impossible to describe in short all the diagnostics provided by PVS-Studio, so refer to
the documentation for the complete list of diagnostic rules and their detailed descriptions: Error
description. Here I will only paste a table showing the diagnostics grouped into categories. Some of the
diagnostics are included into more than one group - because this division is actually quite relative. For
example, a typo may cause using an uninitialized memory area. Some of the bugs, on the contrary, are not
included into any category, for they are too peculiar. Nevertheless, the table is a good way for you to grasp
the general idea about our static code analyzer's capabilities (see Figure 8).
11. Figure 8. PVS-Studio's capabilities. Click on the picture to enlarge it.
As you can see, the analyzer is especially good at catching bugs caused by typos and using Copy-Paste. It is
also good at detecting issues related to code security.
For real-life examples demonstrating these diagnostics in action, see our bug database. We use it to collect
all the bugs caught while checking various open-source projects.
12. Conclusion
We haven't told you everything about our tool, of course, because the article would then turn into a
complete documentation. The purpose of this paper was to show you how to easily and comfortably work
with the tool within the Visual Studio environment. To learn about support of other environments and
modes, see the documentation and other articles found at our website. In addition, you will also find many
interesting materials for programmers there. So, welcome to our site - you'll surely spend a while there.
I wish you bugless code and hope you'll like PVS-Studio. If you have any questions, we are always glad to
help you. Contact us.
References:
1. Code review.
2. Static code analysis.
3. Static code analysis tools.
4. Myths about static analysis. The second myth - expert developers do not make silly mistakes.
5. Download PVS-Studio and try it real-life.
6. Too few bugs found in my code. Why? Leo Tolstoy and static code analysis.
7. If you want to purchase PVS-Studio for your team, visit the page Buy PVS-Studio to discuss the price
and ways of purchasing the tool.
8. FAQ for those who have read our articles and want to ask a question.