Software testing evolution
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Software programming has evolved over the decades and consequently, testing, which is an integral part of software development, has also gone through a series of changes.
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2. Testing different network settings:
With a wide array of devices in the market, each device stays connected to the internet at varied frequencies, bandwidths, and different mediums. For example, phones and tablets leverage a different wireless network, while desktops and laptops often use a wired network for a stable internet connection. Wireless networks are generally slower and less reliable than wired networks. It is essential to execute IoT tests to determine the app performance at constant and stable connectivity.
3. Scriptless options for test creation:
Scripting automated tests reduces the human effort in creating tests, simplifying generating test steps in a test case, storing reusable elements or objects, recording test cases, and executing them on multiple browsers or versions. Therefore, opting for scriptless tools is a viable choice that can seamlessly integrate with the existing test workflows and reduce the need for scripting to execute the tests.
4. Ease of usage:
Software testing tools are often difficult to work with as we move towards the advanced stages of testing. Programming and maintaining the test scripts might be tedious and time-consuming, making the entire workflow complex. To eliminate such a challenge, choose a tool that is easy to handle and maintain by developers, test automation engineers, and non-programmers.
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#Webomates #optimizeQAcosts #QAcosts #AITestServices #QAmanagers #Intelligenttestautomation #AIbasedtesting #selfhealing #AIbasedtestautomation #Softwaretesting
Defect leakage
Defect leakage is a term used in software development to describe the number of defects that go undetected during the testing phase and are found by end-users or customers after the product has been released. It is a serious issue that can negatively impact customer satisfaction, revenue, and brand reputation. Software development teams must take measures to reduce defect leakage by implementing effective testing processes and ensuring that all defects are identified and addressed before the product is released. Want to know more about: Defect leakage #softwareqa #defectleakage #webomates #softwaretesting #defects #gtm #bugs #softwaredefects #testing #webinar #qa #quality
Continuous testing in devops.
Continuous testing is an essential aspect of DevOps that involves testing throughout the entire software development lifecycle.
It ensures that each code change is thoroughly tested and validated, reducing the risk of errors and improving the quality of the software. Continuous testing also allows for the early detection of defects, enabling teams to address them promptly and efficiently.
By automating testing processes and using tools such as test automation frameworks and continuous integration/continuous delivery (CI/CD) pipelines, DevOps teams can streamline the testing process and achieve faster time-to-market. Overall, continuous testing in DevOps is critical for delivering high-quality software at speed.
#Webomates #Continuoustesting #DevOpstesting #Continuoustestingindevops #Testing #Softwaretesting #DevOps
Testing code coverage
Code coverage is a metric used to measure the effectiveness of software testing. It refers to the percentage of code lines or functions that are executed by automated tests. By measuring code coverage, developers can identify areas of code that are not covered by tests, and ensure that their tests are comprehensive and effective.
A high code coverage percentage indicates that most of the code has been tested and any defects are likely to be caught early. Code coverage is an important aspect of software testing and is often used in conjunction with other testing techniques. Want to know more about: Testing code coverage
How to Implement shift left testing
Shift left testing is a method of moving testing earlier in the software development process, closer to the design and development stages. Here are the steps to implement shift left testing:
• Integrate testing into the development process: Include testing as a part of the development process, rather than treating it as a separate phase. This will ensure that bugs are caught early and that testing is done in parallel with development.
• Encourage collaboration between development and testing teams: Ensure that developers and testers are working together and communicating regularly. This will ensure that developers understand the testing requirements and that testers understand the design and implementation of the software.
• Use automated testing: Automated testing allows for faster and more consistent testing. This will reduce the time required for testing and improve the coverage of the tests.
• Leverage cloud-based infrastructure for testing: By using cloud-based infrastructure for testing, it's possible to spin up test environments quickly and easily. This will allow for testing to start earlier in the development process.
Click to know more about this article : how to implement shift left testing
Automation failure
Webomates has its own automation platform and grid on AWS and has been executing thousands of test cases on a daily basis. Webomates has developed the AI Defect Predictor to overcome the challenges posed by False Fail’s in automation. AI Defect Predictor not only predicts True Failures vs False failures, but also helps to create a defect using AI engine for automation failure.
If you are interested in learning more about our AI Defect Preditor and Webomates CQ please click here and schedule a demo or reach out to us at info@webomates.com
#Webomates #automationplatform #Automationtesting #Softwaretesting #Automationfailure #testAutomationchallege #Automatedsoftwaretesting #automation #intelligenttestautomation
DevOps Testing
If you want to successfully adopt a DevOps pipeline, Continuous DevOps testing must be a fundamental component of your DevOps testing strategy.
One continuous activity that needs to occur at the same time in a DevOps pipeline is continuous testing. It is very important to keep pace with the market dynamics and release your software faster.
Webomates CQ provides agile teams continuous testing to complete their CI/CD tool chain. Webomates CQ makes adding system tests to the CI/CD tool chain effortless. The platform can be invoked via an API and the results are posted back into your CI/CD system.
Media Testing services
Webomates cloud-based QA strategy ensures test coverage for the entire OTT pipeline. The state-of-the-art Media Testing services span Audio Testing, Video Testing, Over the Top (OTT), and STB testing. #Webomates #OTTTesting #OTTMediatesting #MediaTestingServices #Ottplatformtesting #USA #MediaTestingservices #SoftwareTestingService #QaTesting #Intelligenttestautomation
Continue with DevOps Testing
If you want to successfully adopt a DevOps pipeline, Continuous DevOps testing must be a fundamental component of your DevOps testing strategy.
One continuous activity that needs to occur at the same time in a DevOps pipeline is continuous testing. It is very important to keep pace with the market dynamics and release your software faster.
Webomates CQ provides agile teams continuous testing to complete their CI/CD tool chain. Webomates CQ makes adding system tests to the CI/CD tool chain effortless. The platform can be invoked via an API and the results are posted back into your CI/CD system.
#Webomates #DevOpsTesting #DevOpsTestAutomation #continuoustesting Softwaretesting #softwaretesting #softwareqa #shiftleft #intelligentestautomation #aitesting #qa #agile #devops.
OTT Testing / Media Testing services
One major challenge of OTT testing the streaming applications is creating an automated and scalable testing platform that includes a holistic approach due to the multiple stakeholders that are involved: broadcasters, content providers, and service providers.
It's of utmost importance to have an effective QA testing strategy for your OTT platform that covers various scenarios and major functionalities across the network, infrastructure, and application components
Webomates cloud-based QA strategy ensures test coverage for the entire OTT pipeline. The state-of-the-art Media Testing services span Audio Testing, Video Testing, Over the Top (OTT), and STB testing.
#Webomates #OTTTesting #OTTMediatesting #MediaTestingServices #Ottplatformtesting #USA #MediaTestingservices #SoftwareTestingService #QaTesting #Intelligenttestautomation #streamingtesting
Defect Triage in software testing.pdf
Defect Triage is a process where each bug is prioritized based on its severity. The most important thing to understand about defect taging is that all bugs are not created equal. Some bugs are more critical than others, and you need to figure out which ones need immediate attention from your software developers.
Triage terms are used in the software testing and quality assurance community to describe the severity of new defects. Think of it as a way for everyone involved in the software development process - from project managers to programmers - to quickly understand how significant a particular issue is relative to other issues they're dealing with at any given moment, and then prioritize its resolution accordingly.
#Webomates #DefectTriage #softwaretesting #AITesting #SanityTesting #DefectTriageSoftwareTesting #ChallengesinDefectTriaging
Why code coverage
Code coverage is a software testing metric that shows how much of your code is executed by tests. Code coverage helps in assessing the test performance and quality aspects of your software. it’s also an important component of overall software quality. Click to know more about this article : why code coverage
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Trusted Execution Environment for Decentralized Process Mining
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How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Public CyberSecurity Awareness Presentation 2024.pptx
Cyber security awareness slides for a busisness by TreeTop Security
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Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
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-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
June Patch Tuesday
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Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
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I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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Software testing evolution
- 1. Software Testing Evolution SOFTWARE PROGRAMMING HAS EVOLVED OVER THE DECADES AND CONSEQUENTLY, TESTING, WHICH IS AN INTEGRAL PART OF SOFTWARE DEVELOPMENT, HAS ALSO GONE THROUGH A SERIES OF CHANGES.
- 2. The Era of Programmers and Testers • Development and testing were treated as mutually independent activities during this era. Once the software was ready, it was passed on to the testing team for verification. Testers were not very actively involved during the requirement analysis phase and had limited interactions with business stakeholders. They were heavily dependent on the knowledge passed on to them via documentation done during design and development or gathering knowledge from developers who wrote the code. Lack of insight into the requirements and expectations of the customers led to limited testing strategies used by the testing team. The testers would develop a test plan based on their understanding of documentation and test the software in an ad-hoc manner. This obviously had certain limitations and the testing was not comprehensive.
- 3. The Era of Exploration and Manual Testing THE LATE ’90S SAW THE ADVENT OF VARIOUS METHODOLOGIES LIKE AGILE TESTING, EXPLORATORY TESTING, ETC. TESTING WAS DONE MANUALLY USING DETAILED TEST CASES AND TEST PLANS. EXPLORATORY TESTING GAVE FREEDOM TO TEST AND BREAK SOFTWARE IN INDIGENOUS WAYS BY EXPLORING THE SOFTWARE WITHIN THE GAMUT OF TESTING CHARTERS.
- 4. Ever since Selenium testing Automation came into existence in the tech industry, it has left an indelible mark and has become the most widely used automated testing method for web-based applications. The incessant need for quality assurance and rigorous testing in complex web and mobile applications has resulted in the market selecting Selenium and it has become the most prominent tool in this space. Webomates has integrated solution Webomates CQ which helps companies to test the Mobile app properly and with effectiveness. #SeleniumTestingAutomation #TestingAutomation #Apitesting #Webomates #USA #AutomationTesting #RegressionTesting #Softwaretesting Get in touch with our experts @webomates Explore more at : https://www.webomates.com/ For More Information : https://www.webomates.com/blog/automation-testing/selenium-testing/