7 Continuous Code Quality and Automated Code Review Tools


What Is Continuous Code Quality? What Are Automated Code Review Tools? An automated code review tool totally automates the code review process so that a reviewer has to only focus on the code.

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Automated Code Review Tools for Developers in 2021


Code review is a technique that can improve the quality of a codebase by having multiple developers look for bugs and other problems before passing them on to others. Manual code reviews are costly and time-consuming, which is why many development teams use automated tools to do this work. Automated code review tools can help you automate the process, improve your code quality, and save valuable developer time.

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Top 7 Static Code Analysis Tools


What Is a Static Code Analysis? Static code analysis or Source code analysis is a method performed on the ‘static’ (non-running) source code of the software with static code analysis tools that attempt to highlight potential vulnerabilities. Static code analyzers check source code for specific vulnerabilities as well as for compliance with various coding standards. Get code insights before execution.

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Why I am coding?


I started coding when I was 8 years old, and I am 46 today. This implies I've got 38 years of software development experience, roughly 25 as a professional - And to be honest with you, the answer to the above question is actually "drugs".

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An In-Depth Explanation of Code Complexity


It's no secret code is a complicated thing to write, debug, and maintain which is necessary for high software quality. Moreover, high code complexity brings with it a higher level of code defects, making the code costlier to maintain. So, by reducing code complexity, we can reduce the number of bugs and defects, along with its lifetime cost. What exactly is complex code?

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SRP Is the MEDUSA of Clean Code Family


While we are hearing tips on Clean code, the most common tip is maintaining SRP while writing class or methods, in a broader scope Module/Package/Service/API. Most of the time it succumbs us and we are ending up with anti-KISS code but If we use it in the right proportion, then we can create a cohesive and robust architecture. java tutorial performance clean code code smell srp design principle srp design principle program

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How Readable Is Your Code? Part 2


So CYC has no intention to be a readability code metric. Cognitive Complexity (CC) attempts to count the cognitive effort required to understand the code's flow. Let's take a look at the next example: java performance clean code readable code cyclomatic complexityOnce Again About Cyclomatic Complexity. In the first part, I've introduced Cyclomatic Complexity ( CYC ) metrics in the previous part. CYC was invented a long time ago (in 1976) by Thomas J. McCabe.

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Manage your monitoring as code with Dynatrace’s HashiCorp Terraform integration


HashiCorp’s Terraform is an open-source infrastructure as a code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. What is monitoring as code? What are the benefits of monitoring as code? Making monitoring as code a reality.

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Monitoring-as-code through Dynatrace’s Open-Source Initiative


Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. Monitoring-as-code requirements at Dynatrace.

Everything as Code


At Dynatrace we believe that monitoring and performance should both be automated processes that can be treated as code without the need for any manual intervention. And, applying the “Everything as Code” principles can greatly help achieve that. Treating these different processes as code will ensure that best practices are followed. Benefits of Everything as Code. Since code is now version controlled, rollbacks should be easy to apply. Dynatrace news.

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9 Free Best Code Editors for Windows and Mac In 2020


It is always exciting for developers from all over the world whenever they get to showcase their best code editor at computer expos and tech conferences. In this write-up, we will talk about the best coding software for multiple platforms.

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Netflix at MIT CODE 2020

The Netflix TechBlog

Martin Tingley In November, Netflix was a proud sponsor of the 2020 Conference on Digital Experimentation (CODE), hosted by the MIT Initiative on the Digital Economy. We are all looking forward to CODE 2021, and to engaging with the experimentation community throughout 2021.

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How Readable Is Your Code? Part 1


How practically evaluate notions like code maintainability, readability, transparency? Cyclomatic Complexity — Number of Scenarios in Code. Cyclomatic complexity is a metric invented to find out the number of tests to cover the given code fully. This metric also can be used to measure the readability of your code. Cyclomatic Complexity shows how many scenarios consist of your code (or how many independent ways inside its graph).

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Code Coverage vs Test Coverage — Which Is Better?


Test Coverage and Code coverage are the most popular methodologies for measuring the effectiveness of the code. This is why I thought of coming up with an article to talk about the differences between code coverage and test coverage in detail. Make sure you stay covered!

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Code Review for Software Quality


Software code review plays an important role in software quality. The code review can happen in multiple stages, by multiple people, on multiple deliverables. Reviewing code for software quality can be stressful! You may also like: Code Review. Peer Code Reviews. performance software developent software quality code reviews pull requests knowledge retentionEach one of them focuses on specific areas of software.

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Reporting Code Coverage Using Maven and JaCoCo Plugin


Code coverage is a metric indicating the percentage of lines of code that are executed when running automated tests, specifically unit and integration tests , for instance. performance xml maven code code coverage tests jacocoIt’s known that having automated tests as part of your build process improves the software quality and reduces the number of bugs.

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Testing PowerShell Code With Pester — Octopus Deploy


When you're working with any code, whether it's automation or software code, it should be treated the same way. One of the many things that don't come up as often when you're automating vs when you're building application code is testing.

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Some Curiosities of Oracle Error Codes


A blog post about Oracle error codes? If you doubt that this might be possible or of interest, then answer these two questions: database performance oracle code database performance error pl/sql code errorCuriosities about them, even?

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Testing Code With REST Calls Made Easy


These days, our code frequently has to reach out to a remote server as part of its job, usually consuming an API or some other service. Frequently, our code communicates with these remote services in a RESTful manner. Introduction. java server performance spring rest http junit mocking frameworks

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Using State Machines to Write Bug-Free Code


A debugger I could use to find those annoying bugs in my code. However, when you master how to use a state machine, the code you write would be on the bug-free side. The first time you heard of a state machine, what did you think it was? I thought it was a debugger. A state machine is not a debugger. What Is a State Machine? A state machine is an abstract concept that defines and plans the stages and transitions of an application.

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Code-level observability for Flutter apps drives great user experience


When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions. Additionally, it exposes API calls to the Flutter code and forwards these API calls to OneAgent for iOS/Android. Dynatrace news.

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Big / Bug Data: Analyzing the Apache Flink Source Code


Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. To achieve high reliability, one needs to keep a wary eye on the code quality of projects developed for this area. Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. The PVS-Studio static analyzer is one of the solutions to this problem.

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Optimizing Python code during development


For this blog post I want to focus on how you can leverage Dynatrace to get a lot of insight into your plugin code. Part 1 – The code as it stood. As the plugin needs to run in less than a minute, even on very large environments I have to monitor the execution time of my code. Without monitoring the code with Dynatrace it was starting to look like this: Dynatrace supports many languages out-of-the box by simply installing the OneAgent (such as Java,NET, Node.js, …).

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Beyond traceability: From root cause to code-level context in a single click


Davis has the unique ability to precisely identify code-level findings, such as resource consumption during the span of an individual transaction. Why code-level context is important. Code-level context is the crucial information that helps DevOps teams to immediately locate the fundamental problems within their service implementations. Without such detailed information, it simply isn’t possible to identify the real code-level cause of a software problem.

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Long Code vs. Short Code: What?s Better for My Use Case?


Successfully programming an application requires an ingenious mix of lines of code that combine to bring life and versatility to the application. Kuzzmi , who has more than seven years of web development experience and currently teaches people how to create successful web applications, says that “the decision whether to use long lines of code or short lines of code depends on a developer’s skill set, desires, and anticipated results.”.

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Increase Throughput by Eliminating Blocking Code in Your Java REST App


Blocking code is code which blocks executing threads until their operations finish. This article assumes some basic knowledge about the differences between blocking and non-blocking code. What I am going to do is to introduce a very simple app with some blocking code inside and show you how you can easily figure out where your threads are usually blocked and then you might identify a better way to implement those certain parts of code and do it much more efficiently.

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How to Optimize Code and RAM Size


Convenience always has a price, and with a ‘blinky’ it is that the code size for just ‘toggling a GPIO pin’ is exaggerated. It is great if vendors provide a starting point for my own projects. A working ‘blinky’ is always a great starter. For a device with a tiny amount of RAM and FLASH this can be concerning: will my application ever fit to that device if a ‘blinky’ takes that much? Don’t worry: a blinky (or any other project) can be easily trimmed down. Binky on NXP LPC845-BRK Board.

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Improving Code Readability


Readable code is usable code. The non-used code blocks saved for future use are sometimes forgotten and another developer could not be in want of changing the code of the legacy system. Such non-used code blocks may affect code readability in the future. We are lucky today many code review tools exist for coding mistakes etc., but using tools is not enough to help code readability.

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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace


And the code-level root cause information is what makes troubleshooting easy for developers. As Dynatrace automatically captures stack traces for all threads at all time the CPU Hotspot analysis makes it easy to identify which code is consuming all that CPU in that particular thread.

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Role Of A Software Tester In Code Reviews


If you are working in an agile environment, you may have come across the term ‘code review’. It is a strategic operation where you break the source code into snippets in order to audit the code before it is moved to the testing phase. What Is Code Review?

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Interview-Ready Snippets of Code for Thread Life Cycle States


Read on to find out some Java technical interview questions! Almost any Java technical interview contains several questions covering Java concurrency topics. A common scenario for a beginner-intermediate level sound like this: Interviewer: Can you enumerate the Java thread life cycle states?

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Who Tests Code

Professor Beekums

Who writes code? The obvious answer is that developers write code. Who makes sure the code works? Many companies have separate QA departments that are responsible for making sure code works. Developers write code, then they throw it over a wall for someone else to test for them The answer to this question also seems obvious. It should also be developers… right? Fairly often, that is not actually the case.

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Radically speed up your code by fixing slow or frequent garbage collection


Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. Any significant reduction in allocations will inevitably speed up your code.

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Using React Loadable for Code Splitting by Components and Routes

CSS - Tricks

In a bid to have web applications serve needs for different types of users, it’s likely that more code is required than it would be for one type of user so the app can handle and adapt to different scenarios and use cases, which lead to new features and functionalities. Code splitting is a technique where an application only loads the code it needs at the moment, and nothing more. Code splitting is possible in a React application using React Loadable.

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Multidimensional analysis 2.0: Analyze, chart, and report on microservices-based metrics without code changes


Analyze, chart, and report on microservices-based metrics without code changes appeared first on Dynatrace blog. Dynatrace news.

Simplify complexity with full code-level visibility into your PHP CLI application (Early Adopter)


Dynatrace has long provided automatic code-level performance monitoring for PHP applications with OneAgent. Automatically locate bottlenecks in your code. Full code-level visibility into your PHP CLI application. Dynatrace news.

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Multidimensional analysis 2.0: Analyze microservice-based metrics without code changes (Part 2)


Analyze microservice-based metrics without code changes (Part 2) appeared first on Dynatrace blog. Dynatrace news. In Part 1 of this blog series , we presented a few Dynatrace customer use cases for multidimensional analysis.

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Learning To Make Maintainable Code

Professor Beekums

Programmers want to write good code. High quality software includes many things, one of which is making code easy to modify/maintainable. There are always new versions with new features which obviously means that there is more code written. That code is usually written on top of existing features It makes sense. Folks in every profession take pride in their work and want to make sure it is of the highest quality.

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The Easy Ones – Three Bugs Hiding in the Open

Randon ASCII

The fix was a few lines of code to stop traversing after twenty navigation nodes, presumably saving a few million dollars in server and power costs. I’d worked my way through most of the errors and had one final change waiting for code-review before I submitted it.

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All Code Is Technical Debt

Professor Beekums

That’s because all code is technical debt. Developers often try to minimize the amount of technical debt they take on when building software. Many will even try to have “zero” technical debt. It sounds like a worthwhile goal. Technical debt can be extremely costly in the long term so getting rid of it can be extremely advantageous down the line. It isn’t possible to have zero technical debt though. Every single line of it

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How Do You Catch More Bugs In Your End-To-End Tests?


testing test automation code test bugs artificial intelligence (ai) hackathon end to end testing code maintenance test codeHow much is it worth to catch more bugs early in your product release process?

Increase the Performance of your Site with Lazy-Loading and Code-Splitting


We are explicit about our dependencies, so we know what code we need to run to run a specific component. Lazy-loading and bundle splitting can have a huge impact on page performance: less code requested, parsed, and executed. Code Splitting and CSS-in-JS : How CSS-in-JS extends code-splitting and lazy-loading to CSS, SVGs and other resources. When you send the user code that is not needed, you waste resources from your end, and from the user’s end.

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Fully automatic code level monitoring and extended version support for AIX


Fully automatic deep code monitoring module injection. One of the unique strengths of Dynatrace OneAgent is the fully automated injection of the deep code monitoring module on Windows and Linux. Fully automated deep code monitoring module injection is available for all customers as of OneAgent version 1.175. Fully automatic deep code monitoring is available for all supported AIX versions, except AIX 6.1 Dynatrace news.

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