What is «static code analysis»? It is a technique that allows, at the same time with unit-tests, dynamic code analysis, code review and others, to increase code quality, increase its reliability and decrease the development time.
So, what is PVS-Studio? PVS-Studio is a ecosystem that provides you static code analyzer for C, C++, C# and Java programming languages and utilities to make life with static code analyzer easier. PVS-Studio works on Windows, Linux and macOS platforms.
I’ll focus more on C/C++ features. So, we support modern and famous compilers such as: MSVC, GCC, Clang - and several compiler for Embedded systems: ARM GCC/Clang, Keil, IAR, TI.
We also have several plugins for modern IDEs for convenient work: Visual Studio 2010-2019, JetBrains Rider and IntelliJ IDEA. Compilation monitoring. We provide a tool that may help you to check your project with “exotic” build system (e.g. SCons, Bazel, etc).
Suppress files. After you’ve checked your project, you may get tons of warnings on your legacy code. There is a solution – you push all your warnings in some file called suppress base, and in the next run you’ll get 0 warnings.
Incremental analysis. If you modify some files in your project, you want only them to be checked as the compiler recompiles them. We have scenery for that. We call it incremental analysis.
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.
Performs code analysis in C, C++, C++/CLI, C++/CX, C#. Plugin for Visual Studio 2010-2015. Integration with SonarQube, QtCreator, CLion, Eclipse CDT, Anjuta DevStudio and so on. Standalone utility. Direct integration of the analyzer into the systems of build automation and the BlameNotifier utility (e-mail notification). Automatic analysis of modified files. Great scalability. Why do people need code analyzers?
So, what is PVS-Studio? PVS-Studio is a ecosystem that provides you static code analyzer for C, C++, C# and Java programming languages and utilities to make life with static code analyzer easier. PVS-Studio works on Windows, Linux and macOS platforms.
I’ll focus more on C/C++ features. So, we support modern and famous compilers such as: MSVC, GCC, Clang - and several compiler for Embedded systems: ARM GCC/Clang, Keil, IAR, TI.
We also have several plugins for modern IDEs for convenient work: Visual Studio 2010-2019, JetBrains Rider and IntelliJ IDEA. Compilation monitoring. We provide a tool that may help you to check your project with “exotic” build system (e.g. SCons, Bazel, etc).
Suppress files. After you’ve checked your project, you may get tons of warnings on your legacy code. There is a solution – you push all your warnings in some file called suppress base, and in the next run you’ll get 0 warnings.
Incremental analysis. If you modify some files in your project, you want only them to be checked as the compiler recompiles them. We have scenery for that. We call it incremental analysis.
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.
Performs code analysis in C, C++, C++/CLI, C++/CX, C#. Plugin for Visual Studio 2010-2015. Integration with SonarQube, QtCreator, CLion, Eclipse CDT, Anjuta DevStudio and so on. Standalone utility. Direct integration of the analyzer into the systems of build automation and the BlameNotifier utility (e-mail notification). Automatic analysis of modified files. Great scalability. Why do people need code analyzers?
SonarQube is an open platform to manage code quality. It has got a very efficient way of navigating, a balance between high-level view, dashboard, TimeMachine and defect hunting tools.
SonarQube tool is a web-based application. Rules, alerts, thresholds, exclusions, settings… can be configured online.
PVS-Studio is ready to improve the code of Tizen operating systemAndrey Karpov
Objective. Contract agreement with PVS-Studio team concerning the error fixing and regular code audit.
Currently, PVS-Studio detects more than 10% of errors that are present in the code of the Tizen project.
In the case of regular use of PVS-Studio on the new code, about 20% of errors can be prevented.
I predict that PVS-Studio team can detect and fix about 27 000 errors in the Tizen project.
It’s not easy to perform a good code review. Often done in a hurry just to get it done, it only makes things worse. People treat it as an obstacle, not a helpful thing. I am gonna tell you why code reviews are important and how they can help you maintain good quality code. I will not only tell who are the code reviews for, how to raise a useful code review, but also how to perform a good code review in the quickest time possible.
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.
Slides from OWASP AppSec USA 2016.
For over 10 years, Visual Studio has provided basic source code analysis through FxCop and StyleCop. While these code analyzers focus mainly on design conformance, code consistency, and best practices, there is very little support for enforcing secure coding techniques. To address this gap, Microsoft started a project back in 2011 called CAT.NET to help identify secure coding bugs such as XSS, SQL Injection, and XPath Injection. Unfortunately, CAT.NET failed and never made it past the first version. Aside from purchasing expensive commercial static analysis tools, .NET development teams have been left without an easy way to integrate secure code scanning rules into Visual Studio. At least until now...
With the release of Visual Studio 2015, the open-source .NET Compiler Platform (aka “Roslyn”) exposes a set of code analysis APIs capable of querying the source code, identifying a security issue, and reporting it as code is written! In this talk, we will explore the code analysis APIs and show you how to create a live static analysis rule. Come prepared to see demonstrations of Visual Studio static analysis rules in action, and walk away with a static analysis rule pack to run against your organization’s .NET applications.
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.
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.
There exist many code review checklist blogs/articles in the net telling standard Java best practices/guidelines; And I have come up with a checklist accommodating best practices from some of the recent popular books (reference given) and guidelines from Oracle (on Security).
Verification at scale: Fitting static code analysis into continuous integrationRogue Wave Software
Static code analysis (SCA) is a decades-proven software verification method that’s become essential for many development teams. With the growing adoption of DevOps processes and CI tools, it’s even more important that those familiar with and new to SCA understand how it fits into modern processes to maximize its benefits.
This talk describes three different ways of approaching static code analysis and explains the advantages and disadvantages of each, including test coverage, performance, and standards compliance. Starting with older server-based and desktop-based analysis, followed by the latest continuous static analysis for CI, you will walk away with an understanding of the different types of SCA and how to choose the best option that fits your team’s processes, environment, and release schedules.
SonarQube is an open platform to manage code quality. It has got a very efficient way of navigating, a balance between high-level view, dashboard, TimeMachine and defect hunting tools.
SonarQube tool is a web-based application. Rules, alerts, thresholds, exclusions, settings… can be configured online.
PVS-Studio is ready to improve the code of Tizen operating systemAndrey Karpov
Objective. Contract agreement with PVS-Studio team concerning the error fixing and regular code audit.
Currently, PVS-Studio detects more than 10% of errors that are present in the code of the Tizen project.
In the case of regular use of PVS-Studio on the new code, about 20% of errors can be prevented.
I predict that PVS-Studio team can detect and fix about 27 000 errors in the Tizen project.
It’s not easy to perform a good code review. Often done in a hurry just to get it done, it only makes things worse. People treat it as an obstacle, not a helpful thing. I am gonna tell you why code reviews are important and how they can help you maintain good quality code. I will not only tell who are the code reviews for, how to raise a useful code review, but also how to perform a good code review in the quickest time possible.
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.
Slides from OWASP AppSec USA 2016.
For over 10 years, Visual Studio has provided basic source code analysis through FxCop and StyleCop. While these code analyzers focus mainly on design conformance, code consistency, and best practices, there is very little support for enforcing secure coding techniques. To address this gap, Microsoft started a project back in 2011 called CAT.NET to help identify secure coding bugs such as XSS, SQL Injection, and XPath Injection. Unfortunately, CAT.NET failed and never made it past the first version. Aside from purchasing expensive commercial static analysis tools, .NET development teams have been left without an easy way to integrate secure code scanning rules into Visual Studio. At least until now...
With the release of Visual Studio 2015, the open-source .NET Compiler Platform (aka “Roslyn”) exposes a set of code analysis APIs capable of querying the source code, identifying a security issue, and reporting it as code is written! In this talk, we will explore the code analysis APIs and show you how to create a live static analysis rule. Come prepared to see demonstrations of Visual Studio static analysis rules in action, and walk away with a static analysis rule pack to run against your organization’s .NET applications.
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.
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.
There exist many code review checklist blogs/articles in the net telling standard Java best practices/guidelines; And I have come up with a checklist accommodating best practices from some of the recent popular books (reference given) and guidelines from Oracle (on Security).
Verification at scale: Fitting static code analysis into continuous integrationRogue Wave Software
Static code analysis (SCA) is a decades-proven software verification method that’s become essential for many development teams. With the growing adoption of DevOps processes and CI tools, it’s even more important that those familiar with and new to SCA understand how it fits into modern processes to maximize its benefits.
This talk describes three different ways of approaching static code analysis and explains the advantages and disadvantages of each, including test coverage, performance, and standards compliance. Starting with older server-based and desktop-based analysis, followed by the latest continuous static analysis for CI, you will walk away with an understanding of the different types of SCA and how to choose the best option that fits your team’s processes, environment, and release schedules.
Learning from other's mistakes: Data-driven code analysisAndreas Dewes
Static code analysis is an useful tool that can help to detect bugs early in the software development life cycle. I will explain the basics of static analysis and show the challenges we face when analyzing Python code. I will introduce a data-driven approach to code analysis that makes use of public code and example-based learning and show how it can be applied to analyzing Python code.
Slides and notes presented at Albany.pm on Thursday, January 23, 2014, covering static code analysis and an internal perl tool AutoLint, which automates Gimpel PC-Lint runs over large legacy C/C++ codebases. (The per-slide notes contain most of the spoken content.)
Static Analysis Techniques For Testing Application Security - Houston Tech FestDenim Group
Static Analysis of software refers to examining source code and other software artifacts without executing them. This presentation looks at how these techniques can be used to identify security defects in applications. Approaches examined will range from simple keyword search methods used to identify calls to banned functions through more sophisticated data flow analysis used to identify more complicated issues such as injection flaws. In addition, a demonstration will be given of two freely-available static analysis tools: FXCop and the beta version of Microsoft’s XSSDetect tool. Finally, some approaches will be presented on how organizations can start using static analysis tools as part of their development and quality assurance processes.
Studies show that for every 7 to 10 lines of code we write, we introduce one defect. Now often times we can spot these errors before they ever see the light of day, however that is not true in all cases. So what can we use to assist us in leveling the playing field? Well, we can take advantage of Static Code Analysis tools! In this talk, learn how you can incorporate the following tools into your development process: Checkstyle, PMD, FindBugs, and Lint.
Après avoir fait ce talk à la conférence NSSpain, Simone Civetta va nous expliquer sur quelles métriques il est possible de se baser pour évaluer la qualité d’un code source. Cette question étant toujours sujette à débat, préparez vos arguments !
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.
Having checked ReactOS's code I managed to fulfill three of my wishes at once. Firstly, I had wanted for a long time to write an article on a common project. It's not interesting to check the source code of projects like Chromium: its quality is too high and a lot of resources are spent to maintain it, which are unavailable to common projects. Secondly, it's a good example to demonstrate the necessity of static analysis in a large project, especially when it is developed by a diverse and distributed team. Thirdly, I've got a confirmation that PVS-Studio is becoming even better and more useful.
One of the biggest problems of software projects is that, while the practice of software development is commonly thought of as engineering, it is inherently a creative discipline; hence, many things about it are hard to measure. While simple yardsticks like test coverage and cyclomatic complexity are important for code quality, what other metrics can we apply to answer questions about our code? What coding conventions or development practices can we implement to make our code easier to measure? We'll take a tour through some processes and tools you can implement to begin improving code quality in your team or organization, and see what a difference it makes to long-term project maintainability. More importantly, we'll look at how we can move beyond today's tools to answer higher-level questions of code quality. Can 'good code' be quantified?
One of the biggest problems of software projects is that, while the practice of software development is commonly thought of as engineering, it is inherently a creative discipline; hence, many things about it are hard to measure. While simple yardsticks like test coverage and cyclomatic complexity are important for code quality, what other metrics can we apply to answer questions about our code? What coding conventions or development practices can we implement to make our code easier to measure? We'll take a tour through some processes and tools you can implement to begin improving code quality in your team or organization, and see what a difference it makes to long-term project maintainability. More importantly, we'll look at how we can move beyond today's tools to answer higher-level questions of code quality. Can 'good code' be quantified?
Static code analysis tools can help developers eliminate numbers of bugs as early as at the coding stage. With their help you can, for example, quickly catch and fix any typos. Well, some programmers are sincerely sure they never make typos and silly mistakes. But they are wrong; everyone makes mistakes. This article is a good evidence of that. Typos can be found even in high-quality and well tested projects such as Qt.
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.
It is quite often that software developers have absolutely no clue about the cost of an error. It is very important that the error be found at the earliest possible stage.
Talos: Neutralizing Vulnerabilities with Security Workarounds for Rapid Respo...Zhen Huang
There is often a considerable delay between the discovery of a vulnerability and the issue of a patch. One mitigation strategy for this window of vulnerability is to use a configuration workaround, which prevents the vulnerable code from being executed at the cost of some lost functionality -- but if one is available. Since application configurations are not specifically designed to mitigate software vulnerabilities, we find that they only cover 25.2% of vulnerabilities.
To minimize patch delay vulnerabilities and address the limitations of configuration workarounds, we propose Security Workarounds for Rapid Response (SWRRs), which are designed to neutralize security vulnerabilities in a timely, secure, and unobtrusive manner. Similar to configuration workarounds, SWRRs neutralize vulnerabilities by preventing vulnerable code from being executed at the cost of some lost functionality. However, the key difference is that SWRRs use existing error-handling code within applications, which enables them to be mechanically inserted with minimal knowledge of the application and minimal developer effort. This allows SWRRs to achieve high coverage while still being fast and easy to deploy.
We designed and implemented Talos, a system that mechanically instrument SWRRs into a given application, and evaluate it on five popular Linux server applications. We run exploits against 11 real-world software vulnerabilities and show that SWRRs neutralize the vulnerabilities in all cases. Quantitative measurements on 320 SWRRs indicate that SWRRs instrumented by Talos can neutralize 75.1% of all potential vulnerabilities and incur a loss of functionality similar to configuration workarounds in 71.3% of those cases. Our overall conclusion is that automatically generated SWRRs can safely mitigate 2.1x times more vulnerabilities, while only incurring a loss of functionality comparable to that of traditional configuration workarounds.
In February 2014, the Argentinian studio OKAM made public the source code of their multi-platform game engine Godot Engine and not so long ago, version 1.0 was released. As you have already guessed, in this article we will talk about the analysis of this project's source code and its results. Analysis was done with the PVS-Studio static code analyzer. Besides the introductory purpose, this article also pursues some practical aims: the readers can learn something new while the project developers can fix errors and bottlenecks. But first things first.
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.
An important event has taken place in the PVS-Studio analyzer's life: support of C#-code analysis was added in the latest version. As one of its developers, I couldn't but try it on some project. Reading about scanning small and little-known projects is not much interesting of course, so it had to be something popular, and I picked MonoDevelop.
Similar to PVS-Studio and static code analysis technique (20)
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.
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
What is static analysis and what is it for? How does static analysis work? (Unreal Engine 4). How to introduce static analysis in your project: best practices.
Does static analysis need machine learning?Andrey Karpov
Introduction to static analysis. Existing solutions and approaches they implement. Problems and pitfalls when creating an analyzer. When learning «manually». When learning on a real large code base. Most promising approaches.
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.
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
We continue making the use of PVS-Studio more convenient. Our analyzer is now available in Chocolatey, the package manager for Windows. We believe this will make it easier to deploy PVS-Studio, particularly in cloud services. So right off the bat, we also checked the source code of the same Chocolatey. Azure DevOps took on the role of the CI system.
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
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2. What is «static code analysis»?
• It is a technique that allows, at the same time with unit-tests, dynamic code
analysis, code review and others, to increase code quality, increase its
reliability and decrease the development time.
• It should be noted that static code analysis is not a universal panacea and is
maximally effective in conjunction with other methods of code testing.
3. Who needs static code analysis?
• Any medium-sized and large software development company – to increase
code reliability and decrease its price,
• Any small company and individual developers – in a lesser extent – to drink
coffee instead of searching and fixing annoying bugs,
• Anyone, who supports any old code,
• Specialists for specific tasks (for instance, Sparce code analyzer for Linux
kernel hackers).
4. Static code analysis advantages
• Allows to find bugs on early stages (the earlier the bug was spotted, the
cheaper it is to be fixed),
• High analysis speed,
• Does not require to run the application, only an access to source code and
(not always) – to preprocessed files,
• Allows to locate bugs in code that is rarely executed (exception handlers, for
instance).
5. Static code analysis disadvantages
• Possibility of false positive alarm on correct code,
• Correct positive alarms on old code, which works correctly and which should
better not be bothered, may be nauseous.
• Comparatively small class of bugs detected due to the exponential difficulty
of “honest” bug search.
• Does not detects logical errors (this is a drawback of almost all automatic
testing tools in contrast to code review and manually written unit tests).
6. PVS-Studio
• One of static code analysis tools for C and C++ languages (including C++CX,
C++0x and C++11),
• Developers – ООО «Program Verification Systems».
• Site: http://www.viva64.com/
• From so on, main advantages of this tool will be listed.
7. PVS-Studio: ease of use
• Allows integration into Microsoft Visual Studio (except for Express version –
it lacks extension mechanisms),
• Includes PVS-Studio Standalone that does not require IDE at all,
• Works quickly and “out-of-the-box”, does not require dedicated database
servers and personnel training.
• Can be integrated into the build system,
• Fully-functional trial version.
8. PVS-Studio: features
• Incremental analysis allows to find bugs in new code after every build,
• Message suppression allows to concentrate on a newly written code by
hiding all the warning messages on the old code (of course, they can be
reviewed later),
• Special feature – search for bugs that shows up on porting 32-bit application
into 64-bit ones.
9. PVS-Studio: additional features
• Quick tech support,
• Users may ask for a features in a future releases. Our tool is expanding, and
we try to take into account every request,
• All errors are properly documented and there are a lot of examples (small
fraction of them will be listed on the next slides).
10. Examples of errors found in
real-life applications
Error #1
while (node != NULL) {
if ((node->hashCode == code) &&
(node->entry.key == key)) {
return true;
}
node = node->next;
} while (node != NULL);
It seems like do / while cycles was mixed
up in a weird way here. Of course,
second ‘while’ operator should never
become an endless cycle, but is there
actually ‘while’ and not ‘do’ cycle
required?
11. Examples of errors found in
real-life applications
Error #2
int main(int argc, char** argv) {
....
if (getIsInteractiveMode())
//p->writePepSHTML();
//p->printResult();
// regression test?
if (testType!=NO_TEST) {
....
}
}
Even comments can sometimes harm the
program, especially in the wrong place. In
this piece of code second ‘if’ operator will
only be evaluated if condition in first ‘if’ is
true, but code formatting says that the
opposite was intended. By the way, this
error was found in unit tests.
12. Examples of errors found in
real-life applications
Error #3
HRESULT
SHEOW_LoadOpenWithItems(....)
{
....
if (_ILIsDesktop(pidl) || _ILIsMyDocuments(pidl)
|| _ILIsControlPanel(pidl) || _ILIsNetHood(pidl)
|| _ILIsBitBucket(pidl) || _ILIsDrive(pidl)
|| _ILIsCPanelStruct(pidl) || _ILIsFolder(pidl)
|| _ILIsControlPanel(pidl))
{
TRACE("pidl is a foldern");
SHFree((void*)pidl);
return E_FAIL;
}
....
}
For everyone who thinks that every
problem that was found by static code
analyzer can also be found by code
review. Good luck in figuring out what’s
wrong here. And don’t forget that real
code is much, much bigger than this
fragment.
13. Examples of errors found in
real-life applications
Error #3
HRESULT
SHEOW_LoadOpenWithItems(....)
{
....
if (_ILIsDesktop(pidl) || _ILIsMyDocuments(pidl)
|| _ILIsControlPanel(pidl) || _ILIsNetHood(pidl)
|| _ILIsBitBucket(pidl) || _ILIsDrive(pidl)
|| _ILIsCPanelStruct(pidl) || _ILIsFolder(pidl)
|| _ILIsControlPanel(pidl))
{
TRACE("pidl is a foldern");
SHFree((void*)pidl);
return E_FAIL;
}
....
}
Here it is. A repeated fragment in a
logical expression. At least one of this
repeated sentences is redundant. More
likely scenario: one of this sentences is
incorrect, and programmer should have
meant something else.
14. Examples of errors found in
real-life applications
Error #4
Style & w1Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD1_INDEX);
styleUpdate(w1Style, _pFgColour[0], _pBgColour[0],
IDC_KEYWORD1_FONT_COMBO, IDC_KEYWORD1_FONTSIZE_COMBO,
IDC_KEYWORD1_BOLD_CHECK, IDC_KEYWORD1_ITALIC_CHECK,
IDC_KEYWORD1_UNDERLINE_CHECK);
Style & w2Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD2_INDEX);
styleUpdate(w2Style, _pFgColour[1], _pBgColour[1],
IDC_KEYWORD2_FONT_COMBO, IDC_KEYWORD2_FONTSIZE_COMBO,
IDC_KEYWORD2_BOLD_CHECK, IDC_KEYWORD2_ITALIC_CHECK,
IDC_KEYWORD2_UNDERLINE_CHECK);
Style & w3Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD3_INDEX);
styleUpdate(w3Style, _pFgColour[2], _pBgColour[2],
IDC_KEYWORD3_FONT_COMBO, IDC_KEYWORD3_FONTSIZE_COMBO,
IDC_KEYWORD3_BOLD_CHECK, IDC_KEYWORD3_BOLD_CHECK,
IDC_KEYWORD3_UNDERLINE_CHECK);
Style & w4Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD4_INDEX);
styleUpdate(w4Style, _pFgColour[3], _pBgColour[3],
IDC_KEYWORD4_FONT_COMBO, IDC_KEYWORD4_FONTSIZE_COMBO,
IDC_KEYWORD4_BOLD_CHECK, IDC_KEYWORD4_ITALIC_CHECK,
IDC_KEYWORD4_UNDERLINE_CHECK);
Still not impressed? Well, here comes
another example.
15. Examples of errors found in
real-life applications
Error #4
Nice example of code produced by
copy-paste technique featuring
programmer who forgot to fix one
word. This error is definitely hard to
detect using only code review.
However, if you enjoyed searching for
errors, we have a quiz for you.
Style & w1Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD1_INDEX);
styleUpdate(w1Style, _pFgColour[0], _pBgColour[0],
IDC_KEYWORD1_FONT_COMBO, IDC_KEYWORD1_FONTSIZE_COMBO,
IDC_KEYWORD1_BOLD_CHECK, IDC_KEYWORD1_ITALIC_CHECK,
IDC_KEYWORD1_UNDERLINE_CHECK);
Style & w2Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD2_INDEX);
styleUpdate(w2Style, _pFgColour[1], _pBgColour[1],
IDC_KEYWORD2_FONT_COMBO, IDC_KEYWORD2_FONTSIZE_COMBO,
IDC_KEYWORD2_BOLD_CHECK, IDC_KEYWORD2_ITALIC_CHECK,
IDC_KEYWORD2_UNDERLINE_CHECK);
Style & w3Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD3_INDEX);
styleUpdate(w3Style, _pFgColour[2], _pBgColour[2],
IDC_KEYWORD3_FONT_COMBO, IDC_KEYWORD3_FONTSIZE_COMBO,
IDC_KEYWORD3_BOLD_CHECK, IDC_KEYWORD3_BOLD_CHECK,
IDC_KEYWORD3_UNDERLINE_CHECK);
Style & w4Style =
_pUserLang->_styleArray.getStyler(STYLE_WORD4_INDEX);
styleUpdate(w4Style, _pFgColour[3], _pBgColour[3],
IDC_KEYWORD4_FONT_COMBO, IDC_KEYWORD4_FONTSIZE_COMBO,
IDC_KEYWORD4_BOLD_CHECK, IDC_KEYWORD4_ITALIC_CHECK,
IDC_KEYWORD4_UNDERLINE_CHECK);
16. Examples of errors found in
real-life applications
Error #5
void ListJob::doStart()
{
Q_D( ListJob );
switch ( d->option ) {
break;
case IncludeUnsubscribed:
d->command = "LIST";
break;
case IncludeFolderRoleFlags:
d->command = "XLIST";
break;
case NoOption:
default:
d->command = "LSUB";
}
....
}
One single ‘break’ in unusual place may
alter the whole ‘switch’ statement
behavior. Or maybe it was intentional,
wasn’t it?
17. Conclusion
• All the errors listed in this presentation was found in open-source projects. It
proves that even professional programmers tend to make errors.
• It is worth to remind that it is better to use the whole bunch of tools, not only static
code analysis or only unit tests, and to give enough attention to refactoring and
code quality. We are almost certain that this will pay for itself. Analyzer may find a
misprint, but would never find a wrong algorithm! Unit tests may contain errors
too, and human attention would hardly find a misprint in heaps of duplicate code.
• Good luck with development!
18. Additional links:
• PVS-Studio: http://www.viva64.com/en/pvs-studio/
• Updatable List of Open-Source Projects Checked with PVS-Studio:
http://www.viva64.com/en/a/0084/
• Blog: http://www.viva64.com/en/b/
• Twitter: https://twitter.com/Code_Analysis