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10Dec

What’s the Difference Between Functional and Non-Functional Testing?

Functional and Non-Functional Testing are two fundamental aspects of software quality assurance, each serving a distinct purpose in ensuring the reliability and performance of software applications. Functional Testing: Functional testing primarily focuses on evaluating the functions and features of a software application to ensure that it performs as intended. Testers examine the application against predefined requirements, and the key objective is to verify that it delivers the expected outcomes under various conditions. Test cases are designed to check specific functionalities, such as user interactions, data processing, and output generation. The goal is to identify any functional defects or discrepancies between the actual and expected results. Functional testing is essential for confirming that the software meets its intended purpose and user requirements. Non-Functional Testing: Non-functional testing, on the other hand, assesses aspects of an application that go beyond its basic functionality. It is concerned with performance, reliability, usability, and other quality attributes. Non-functional testing includes various types, such as: Performance Testing: This evaluates how well the application performs under different conditions, including load testing, stress testing, and scalability testing. Usability Testing: It examines the user-friendliness of the software, focusing on the user experience, accessibility, and overall usability. Security Testing: Security testing identifies vulnerabilities and ensures that data and resources are adequately protected. Reliability Testing: This verifies that the application consistently operates without failures or crashes. Scalability Testing: It assesses how well the software can adapt and handle increased workloads. In summary, while functional testing ensures that the software functions correctly, non-functional testing validates its performance, security, and usability under diverse conditions. Both types of testing are crucial for delivering a well-rounded, high-quality software product that meets user expectations and performs reliably in real-world scenarios. A well-designed Quality Assurance strategy should cover all software aspects. It would not only check the basic functionality of the application but also the way it performs its required functions. By understanding the difference between the two objectives, we establish that quality assurance agendas need to be distinctively dedicated to testing both how the application behaves (Functional Testing), and at what level of performance (Non-Functional Testing). In this article, we will learn the definition of both main testing approaches look at their key differences, and how we at Q-Pros apply each testing type to our services. What is Functional Testing? Functional testing is mainly concerned with testing a software’s behavior under test. This means we build a set of test cases, and we examine if the software is responding with the expected output. These tests are done in real environments to guarantee that the actual result is synchronized with client demands. This type of testing mostly consists of Black-box testing and is unconcerned with the application’s source code. Types of Functional Testing: Smoke testing – This type of testing checks functionally on a crucial level (Making sure the applications are working fine), it paves the way for other testing types to take part. Sanity testing – It is regarded as an extremely specific way of testing; it mainly focuses on testing a specific function within the application to check if it runs properly with no bugs or defects. Integration testing – This type of testing will determine if components within the system that are intended to integrate are functioning correctly in one singularity. Localization testing – A technique in which tests are performed to check if the application can cope and be suitable with local changes i.e., language, region, time zone. etc. Regression testing – A testing method that proceeds any changes that occur to the system's internal code to make sure no new bugs arise as a result of the modification. It also checks to see if the entire system is working fine with the novel changes. User Acceptance Testing (UAT) – This testing method is used to make sure that the application meets the user’s standards. Under a certain set of criteria, UAT sessions are carried out before the official launch/release date, to make sure that the applications hold their ground within a real environment and guarantee “user’s acceptance.” What is Non-Functional Testing? Non-functional testing is the testing of software application for its non-functional requirements i.e., the way the system operates, rather than the way the system behaves Non-functional testing is designed to assess a system’s readiness using non-functional factors never addressed by functional testing. Checking how many individuals can simultaneously log into software is an example of a non-functional test. Non-functional tests are just as important as functional testing and impact customer satisfaction. To consider any application a reliable one, we must check if the application is running smoothly with speed and efficiency, this will assure client and user satisfaction. To achieve that level of quality, a group of non-functional testing methods was established to cover all areas of performance indicators, these methods are mainly designed in a way that makes it difficult for manual testing and instead mostly rely on automated testing tools. Types of Non-functional Testing: Load testing – It is the process of assessing the behavior of a system in a simulated environment under predicted conditions (various numbers of users). Stress testing – A testing method that evaluates performance when resources are scarce, such as when a server is down or there is not enough capacity on a device’s hard drive. Scalability testing - This testing method determines whether a system can scale with additional usage and, if so, how much the performance is impacted. Security testing – A process of testing that determines how vulnerable a system is to attack and safeguard data. Volume testing – it evaluates performance with a large amount of data, not necessarily involving many users, but rather a single person executing a high-volume job, such as multiple-file uploading. (Functional Testing VS Non-Functional Testing) Functional Testing Non-Functional Testing Objective validating software actions. ensuring that the software performs as expected. Execution It is carried out before non-functional testing. This is done when the functional testing is completed. Usage Assists in the validation of the application's behavior. Assists in validating the application's performance. Testing tools It can simply rely on manual efforts. It is extremely difficult to execute manually. (Automated testing tools are used) Requirement It is done based on business requirements. It is done based on customer expectations and performance requirements as defined by IT. Q-Pros Q-Pros is a leading IT company specializing in providing testing services and Quality Assurance. Learn more about testing types and request one our unique testing services via our https://q-pros.com/online-test-request/ ...

01Dec

Mobile App Testing techniques for a Defect Free App

by q-pros

in QA Tips

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With Mobile apps becoming more and more reliable every day, providing delicate services with efficiency, developers and service providers are constantly competing to look for ways to solidify our dependency on mobile apps, it is now imperative to avoid error at all costs, this is accomplished by adopting testing techniques that ensure accuracy and detect any defects during the testing phases. To simplify things, Q-Pros have broken down a strategized checklist that will assist in developing mobile application testing techniques that can deliver outstanding outcomes. Here is the checklist you can follow to complete the testing efficiently. 1. Strategy For Testing Type The first and foremost step in the mobile app testing journey is to strategize the need for testing type. Would it be Manual or Automated testing? Proceeding with the one by examining the factors of its productive outcome can contribute to the application’s success. The right decision here decides the efficiency of task completion at the end. You should choose a testing strategy that will serve better ROI based on the testing project at hand and after reviewing all business requirements: Mobile app testing should be automated if There is repetition in the task The test would be more time consuming There is downtime in between steps The requirements are not likely to change Mobile app testing should be Manual if There are easy scenarios with fewer data sets A small application that doesn’t need to run frequently No load and performance testing 2. Framework Selection After deciding the testing type to automate, a step to select the framework should be next. Here is the list of test automation frameworks you need to pick one from: Appium: For Android and iOS applications Espresso: For Android applications only XCUITest: For iOS apps only Quantum: For both mobile and web applications 3. Decide Platform To Perform To execute your testing, you would need to know the differences between platforms (Virtual platforms & Real devices), and which suits best for which type of testing. Note: The virtual platforms test is faster than real mobile devices. On the other side, real device testing is unmatchable as it is able to find more glitches than the virtual one. 4. Functional Testing Functional testing is one of the imperative tests that assure its users that the application’s work is perfect as expected. Here the testing experts validate the application’s functionality against the requirements and specifications. In Functional testing, one usually tests: APIs Security User Interface Client/Server Communication Other Functionalities 5. Mobile App Performance Testing How your mobile application will run in terms of responsiveness and stability in different situations is what the testing experts test in Mobile App performance testing. It is conducted to evaluate the reliability, speed, robustness, and application size.Some of the basic parameters monitored throughout mobile app performance testing are: Speed – Scalability – Stability – Memory- Network – Length – Bandwidth - Maximum Ratios - Etc. 6. Accessibility Testing Accessibility testing ensures that the mobile application would be accessible by both abled and specially-abled persons. Accessibility testing assures to test: Perceivable information in the UI Understandable information in the UI Operational Information in UI Robust Content To include all these above four factors, the testing experts check text color, screen reader compatibility, font size, readability, structure, labels, etc. 7. Usability Testing By considering the user’s ease while using an application, usability testing comes into account. It reflects things that make an application hard to operate effectively. If you proceed with usability testing, then your testing should concentrate on the following parameters: Accuracy Efficiency User-friendly The efficiency of the System 8. Compatibility Testing Compatibility testing evaluates the compatibility of applications against network, hardware, and software requirements. A mobile application - if desired- should be guaranteed to work across different devices, generations, and OSes. Include in your test the following: Device-specific features Changes in the UI Screen resolution Screen size OS-specific features 9. Security Testing The security of the users always comes first. When it comes to delivering a complete, secure, and perfect application to the target customers, it is essential to perform security tests in the testing phase. Testing companies make sure that the sensitive information and data of the customers are completely safe. As a result, it is what gains the trust of the customers. For security, there should be testing for: Fingerprint and face ID Two-factor authentication Proper storage of app data and private information. Adequate encryption of data stored locally on the device. Mobile Application Testing Techniques At Q-Pros Being a leading and experienced testing service provider, Q-pros is heading towards only authentic and outstanding testing outcomes. Our experts follow all mobile application testing techniques and pre-planned tactics. Increasing your mobile app's quality and making sure it fulfills its maximum potential is our goal. Q-Pros will help you launch a Bug-free mobile app at affordable prices. Our Software testing methods have secured a resume of positive results from all our clients. Contact us to get associated and discover our extensive list of testing services for Quality Assurance. https://q-pros.com/online-test-request/ ...

30Dec

Quality Assurance vs Quality Control (QA vs QC)

by q-pros

in software testing

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This article provides clarity on the often confusion in the IT industry regarding the difference between Quality Assurance vs Quality Control. Many QA teams, in fact, practice quality control. But let’s briefly discuss why Quality is a must property of software applications nowadays. It has always been known that the success of any software product, application, and/or service relies greatly upon users’ satisfaction. Users are satisfied just when they have their requirements/needs met and associated with all relevant quality factors (Correctness, Usability, Reliability, Efficiency, Integrity, etc.) to enhance their journey using the software application. In any typical IT project, there are four significant constraints that need to be worked out during project execution. These four requirements are scope, time, cost, and quality. In terms of importance, experience has proven that quality ranks second after scope. If a software application is delivered within the given cutoff time, scope, and cost but lacks the quality factors would lead to unhappy users and consequently business loss. Organizations usually get rectified by adding more time and budget to cover the needed correction and rework. Quality terms can be segmented into two categories - assurance/control - based on the scope and type of activities involved. The confusion between both categories can be clarified by the following definitions. Quality assurance is a strategy of prevention. This means that QA covers all activities that are related to planning, defining, and designing work policies, processes, and procedures for the team to follow during the software development lifecycle in order to prevent errors, issues, or defects. This set of processes helps minimize or even avoid result variation (due to technologies, tools, manpower, etc.) and ensures that an acceptable level of quality is always achieved. Therefore, if there is no need for a process, there is no role for quality assurance. Examples of QA deliverables: Development methodologies Estimation processes Requirements definition processes Testing processes and standards What is Quality Control? Quality control is a strategy of detection. This means that QC activities focus on identifying defects in the actual software produced. These activities begin at the start of the software development process with reviews of requirements and continue until all application testing is complete. Therefore, it is possible to have quality control without quality assurance. For example, a test team may be in place to conduct application testing at the end of development, regardless of whether that application is produced using a software development methodology. Examples of QC deliverables: Requirement Review Reports Testing Execution Reports Test Cases Suite Defects List Difference between Quality Assurance vs Quality Control Quality Assurance Quality Control QA activities aim to prevent defects QC activities aim to detect defects It is a proactive measure It is a reactive measure QA identifies weaknesses in a process to improve it QC identifies defects in an application or service to have them fixed QA is concerned with all applications that will ever be developed by a process. QC relates to a specific application or service. Types of Software Testing Based on what was explained earlier in this article, Software Testing is one of the main activities under the umbrella of Quality Control. Software Testing is segmented into two categories; functional and non-functional. Functional Testing – validate the application’s compliance with its functional requirements and design specifications. The various techniques under this testing type focus on validating that the application’s functionalities are met and work as expected without issues. Some of the main functional testing techniques are: Unit Testing Component Testing (Whitebox) Integration Testing (Greybox) System Testing (Blackbox) Mobile Testing Omnichannel Testing Error-handling Testing Regression Testing Business As Usual Testing (BAU) User Acceptance Testing (UAT) Non-functional Testing – validate the application’s compliance with technology, safety, operation, digital standards,s and best practices. functional requirements and design specifications. The various techniques under this testing type focus on validating that the application’s non-functional requirements are met and work as expected without issues. Some of the main non-functional testing techniques are: Usability Compatibility Localization Personalization Performance Load / Stress Security Scalability https://q-pros.com/online-test-request/ ...

15Jan

What is Cross-browser testing

by q-pros

in Types of Testing

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This article provides insights into one of the important non-functional testing types that usually gets overlooked during the software development lifecycle (SDLC). And how we at Q-Pros plan, design, and execute compatibility testing across different platforms without impacting the launch timeline and burdening the budget. Compatibility testing is a non-functional testing that aids in inspecting Web or Mobile Applications on various computing platforms. It validates that an application works as expected when accessed through Different Browser-OS combinations (i.e. on popular browsers like Firefox, Chrome, Edge, Safari—on any of the popular operating systems like Windows, macOS, iOS, and Android). Different devices (i.e. users can view and interact with the application on popular devices, smartphones, tablets, desktops, laptops, etc.). Therefore, the objective of compatibility testing is to release web or mobile applications that deliver a uniform user experience on a diverse, ever-growing range of browsers, operating systems, and devices. Since compatibility testing is a very wide topic and it would be a long article to cover it all here, this article is meant to focus on compatibility testing for websites and web applications. Why is Cross-Browser Testing Important? If a website or web application works well on one browser, that does not imply that it will work well on the other browsers too. Thus, this testing helps ensure that it runs on different browsers without any errors. To identify what breaks on which browser and to fix the website accordingly we need to perform this testing. If a browser is not at all supported, then the users can easily be informed about it to manage their expectations from the outset. What is the impact of ignoring Cross-Browser Testing? Imagine that a user is trying to access a website on a specific browser or OS and then have the page not displayed correctly. The user is likely going to do one of two things. Assume that the site has an issue and leave to return later or assume that the site is broken and leave to find an alternative. Browser vendors follow Open Web Standards, but they have different interpretations of those standards. Since they render HTML, CSS, and JavaScript in unique ways, thoroughly debugging the website’s source code is not enough to ensure that your website will look and behave as requested, and on different browsers (or different versions). Cross-browser testing helps with that by pinpointing browser-specific compatibility errors so developers can debug them quickly. It helps ensure that all target audiences can access the website without issues. How to best select which browsers to test? The various combinations of browsers, devices, and operating systems, make it impossible to build a test for every mix that may exist. Hence, we at Quality Professionals leverage market-leading tools (from vendors like SmartBear, Google, Microsoft, etc.) to automate the test where it gets done once and replicated across all required combinations. However, for manual compatibility testing, it would be more realistic to focus the effort on maximizing the web application reach within the market of the targeted audience. To do this, we first work with our clients to lock down the most critical browsers and versions: Based on market share (popularity) in specific countries or regions. Based on the traffic stats of the web application itself. We usually work with the digital or marketing team that handles the application or website. Q-Pros Our test engineers at Q-Pros take the data, and then we accordingly prioritize the efforts, so we start with common ones first. We also test responsiveness to ensure we mimic users accessing from Smart Devices. So, what exactly is cross-browser testing? Simply put, it's the process of testing your website or web application across multiple browsers and devices to ensure compatibility and functionality. Whether your users prefer Chrome, Firefox, Safari, or Internet Explorer, cross-browser testing ensures that your site looks and performs its best on every platform. Why does it matter? Well, consider this: studies show that nearly half of all users will abandon a website if it doesn't load within three seconds. Factor in the diverse landscape of browsers and devices, and the importance of cross-browser testing becomes clear. By identifying and addressing compatibility issues upfront, you're not just ensuring a smoother user experience—you're also maximizing engagement and reducing bounce rates. But cross-browser testing isn't just about aesthetics—it's also about accessibility and inclusivity. With an increasing emphasis on web accessibility standards, ensuring that your site is usable by all users, regardless of their choice of browser or assistive technology, is essential. By conducting thorough cross-browser testing, you're demonstrating a commitment to inclusivity and ensuring that no user is left behind. Moreover, cross-browser testing is crucial for maintaining your brand's reputation. In an age where word travels fast and first impressions matter more than ever, a glitchy or inconsistent web experience can damage your credibility and drive users into the arms of your competitors. By investing in cross-browser testing, you're safeguarding your brand's reputation and ensuring that every interaction with your digital presence leaves a positive impression. Ready to ensure that your website or web application stands out from the crowd? Our team of experts is here to help you implement a comprehensive cross-browser testing strategy tailored to your unique needs and audience preferences. Don't let compatibility issues hold you back—invest in cross-browser testing and unlock seamless user experiences across every platform today. https://q-pros.com/online-test-request/ ...

14Jan

Our Approach with Software Performance Testing

by q-pros

in software testing

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In software testing, features and functionalities supported by a software system are not the only concern. The performance of a software application, like its response time, reliability, resource, usage, and scalability, is essential for customer satisfaction. The goal of Software Performance Testing is not to find bugs but to eliminate performance bottlenecks. This article provides insights into one of the tricky non-functional testing types that usually gets overlooked during the software development lifecycle. And how we at Q-Pros plan, design, and execute various performance evaluation techniques the right way without enduring a high cost. What is Software Performance testing? Performance Testing is done to provide stakeholders with information about their application regarding speed, stability, and scalability. More importantly, Performance Testing in software testing is to uncover what needs to be improved before the application goes to market. Without Performance Testing, the software is likely to suffer from issues such as running slow while several users use it simultaneously, inconsistencies across different operating systems, and poor usability. Software Performance testing will determine whether the software meets speed, scalability, and stability requirements under expected workloads. Applications sent to the market with poor performance metrics due to nonexistent or low-quality performance testing are likely to gain a bad reputation and fail to meet expected sales and adoption goals. Also, mission-critical applications should be performance tested to ensure they run for longer periods without deviations (i.e., soak testing). According to Dunn & Bradstreet, 59% of Fortune 500 companies experience an estimated 1.6 hours of downtime every week due to an unhandled high load. Considering the average Fortune 500 company with a minimum of 10,000 employees is paying $56 per hour, the labor part of downtime costs for such an organization would be $896,000 weekly, translating into more than $46 million per year. Only a 5-minute downtime of Google.com (19-Aug-13) is estimated to have cost the search giant as much as $545,000. Why do we need Software Performance testing? Performance optimization of various products, platforms, devices, and technologies. Shifting from conventional models to continuous delivery. Limited timelines and budgets while providing high-quality service. Maximizing performance of the existing infrastructure. Early detection of system performance. Common Performance Problems Most performance problems revolve around speed, response time, load time, and poor scalability. Speed is one of the most important attributes of an application. A slow-running application (i.e., high time-to-interact) will lose potential users. Performance testing guarantees that an app runs fast enough to keep a user’s attention and interest. Here is a list of the most common performance problems: Long loading time - Load time is normally the initial time it takes an application to start. This should generally be kept to a minimum. While some applications are impossible to load in under a minute, Load time should be kept under a couple of seconds if possible. Poor response time – Response time is the time it takes from when a user inputs data into the application until the application outputs a response to that input. Generally, this should be very quick. Again, if users wait too long, they lose interest. Poor scalability – A software product suffers from poor scalability when it cannot handle the expected number of users or if the application does not accommodate a wide enough range of users. Bottlenecking - Bottlenecks are obstructions in a system that degrade overall system performance. Bottlenecking is when either coding errors or hardware issues cause a decrease in throughput under certain loads. Bottlenecking is often caused by one faulty section of code. The key to fixing a bottlenecking issue is to find the section of code that is causing the slowdown and try to tune it. Bottlenecking is generally fixed by either fixing poor running processes or adding additional Hardware. Some common performance bottlenecks are: CPU utilization Memory utilization Network utilization Operating System limitations Disk usage Types of Software Performance testing We Cover Load testing – checks the applications' ability to perform under anticipated user loads. The objective is to identify performance bottlenecks before the application goes live. Stress testing – involves testing an application under extreme workloads to see how it handles high traffic or data processing. The objective is to identify the breaking point of an application. Soak testing – is done to validate the software's ability to handle the expected load over a long period. Spike testing - tests the software's reaction to sudden large spikes in the load generated by users. Volume testing – Under volume testing, a large number of Data gets populated in a database, and then the overall behavior is monitored. The objective is to check the performance under varying database volumes. Scalability testing - The objective of scalability testing is to determine the software application's effectiveness in "scaling up" to support an increase in user load. It helps plan capacity addition to your software system. This is critical with cloud hosting. In Conclusion Software Performance testing is essential for companies who wish to provide an excellent long-living digital service. Certain types of clients would include governmental and semi-governmental agencies as well as privet institutions that rely heavily on online mediums for outreach. Q-Pros works and continues to make progress in elevating performance for our clients. Request your very own custom-made testing service via https://q-pros.com/online-test-request/ ...

13Jan

The Role of QA in DevOps

by q-pros

in News & Topics

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The need for faster time to market and superior quality is getting intense in the software development process. Organizations are reaping the benefits of the DevOps approach and are incorporating the rules within every aspect of software testing. This article provides insights into the concept of DevOps and how we at Q-Pros adapted the Role of QA into more dynamic and collaborative activities to best fit the DevOps team structure. The main objectives of adopting DevOps are to make the testing and development process more collaborative, ensure Software Quality Testing, and help launch applications faster to the market. New-age applications need real-time changes and updates to meet the growing demands of the end-users. That requires continuous development, continuous testing, and continuous delivery/deployment. The DevOps approach enables teams to constantly upgrade and deliver. Every enterprise and its style of working differs. The way they would adopt DevOps will be different too. Digital transformation and the need to be always available for end-users with the latest updates are transforming the way enterprises adopt new practices and methodologies. Every enterprise must evolve sustainably, so quality is at the core of every practice, including DevOps. In a DevOps scenario, QA integrates into the testing and development process and takes the collaborative approach, and both testing and development teams are responsible for it. In the traditional method, QA creeps in toward the end, whereas in DevOps, it comes in at every level. As for code development, the QA team pushes the new development code into production, and DevOps facilitates to ensure a seamless deployment of infrastructure and tools. Thus, it helps in releasing a code consistently. The responsibility to ensure quality is not only limited to closing bugs but covers the entire production process. Web mobile applications such as electronic services, e-commerce, or financial services applications need to be updated frequently. It is a fundamental business requirement. DevOps helps make this possible, but with QA involved, the quality of the release is guaranteed. The reality check can happen in real time rather than taking the code offline and testing it. Overall, the popularity of DevOps over the years has intertwined quality into every engineer’s responsibility. DevOps helps in addressing the needs of the market and ensures that end-users do not suffer. QA further enables and directs teams to check the application for performance and quality before it is up for delivery. The role of QA in the current software development process is changing, where the end-user comes into focus, and their needs are brought into perspective while delivering the application. Releasing new and functional updates at any point through the application’s life cycle can become a disaster if the quality is not ensured constantly. Automation of tests plays a critical role in guaranteeing quality and bringing speed to the release process. Building a QA strategy with the necessary best practices is essential for organizations embracing the DevOps movement. Establishing a solid QA strategy will help deliver effective software development and operations to achieve user experience. DevOps practices are adopted to improve the regularity of the releases and reduce defects. It is a methodology that boosts rapid, short, iterative development and deployment of applications. So, the goal of incorporating QA is to ensure continuous improvement in the delivery process. DevOps allows digital enterprises to meet the needs of the competition and enable overall business growth. As a result, enterprises can streamline and pace up the delivery of applications with changes and innovation. The disconnect between QA and DevOps often occurs due to misconceptions about the role of quality assurance in the modern software development life cycle. Even as continuous integration servers and continuous delivery practices check your code for errors, they do not ensure its quality when you define quality from your end user’s perspective rather than your code’s: “Quality is fitness for your end-user purpose.” We at Quality Professionals have implemented a criterion to verify the quality of the build and ensure no bugs get pushed to production: Code Review Test Automation Deploy to Staging Comprehensive QA Checklist Our test engineers have experience working on team collaboration platforms such as Azure DevOps, JIRA, and HP ALM, Leveraging the integration with market-leading DevOps Automation Tools. Q-Pros provides efficient testing services to clients on a global scale. We strive to deliver remarkable outcomes that guarantee error-free applications. Learn more about us and request a custom-made testing service through our online service form. https://q-pros.com/online-test-request/ ...

12Jan

Leveraging Artificial Intelligence in Software Testing

by q-pros

in software testing

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Artificial Intelligence (AI) is no longer a futuristic concept confined to science fiction; it's a transformative force that's reshaping our world across various domains. In this article, we'll delve into the fascinating realm of AI, exploring its history, core principles, current applications, and the potential it holds for the future. The Genesis of Artificial Intelligence Artificial Intelligence, as a field of study, was officially coined in 1956, but its origins can be traced back to early philosophical debates about human cognition. Early pioneers like Alan Turing and John McCarthy laid the foundation for AI by proposing concepts such as the Turing machine and the Dartmouth Workshop. AI's development took significant strides in the 20th century, with the creation of expert systems and the development of rule-based AI. However, AI's progress was marked by periods of enthusiasm followed by "AI winters" where research slowed due to high expectations and unmet challenges. Key Concepts in AI Artificial Intelligence operates on several fundamental principles, including: Machine Learning (ML): ML is a subset of AI that focuses on creating algorithms and models that enable computers to learn from and make predictions or decisions based on data. Neural Networks: Inspired by the human brain, neural networks are a fundamental component of deep learning, allowing Artificial Intelligence systems to process data, identify patterns, and make complex decisions. Natural Language Processing (NLP): NLP enables AI to understand, interpret, and generate human language, giving rise to applications like chatbots and language translation services. Computer Vision: Artificial Intelligence systems use computer vision to "see" and interpret images or video, powering applications from facial recognition to autonomous vehicles. Robotics: AI-driven robots can perform tasks ranging from manufacturing to healthcare, leveraging sensors, actuators, and intelligent algorithms. AI Applications Today Artificial Intelligence has transcended its academic roots and is now deeply embedded in our daily lives: Virtual Assistants: Voice-activated virtual assistants like Siri, Alexa, and Google Assistant have become part of our daily routines, from setting reminders to answering questions. Recommendation Systems: Streaming services, online retailers, and social media platforms use AI to suggest content, products, and connections based on user preferences. Healthcare: AI assists in medical diagnostics, drug discovery, and predictive analytics, enabling more accurate and efficient healthcare delivery. Finance: AI algorithms drive trading decisions, credit scoring, fraud detection, and personalized financial advice. Autonomous Vehicles: Self-driving cars and drones use AI to navigate and make real-time decisions based on sensor data. Natural Language Processing: NLP is revolutionizing customer support with chatbots, enhancing language translation services, and improving sentiment analysis for businesses. AI Ethics and Challenges Artificial Intelligence rapid growth also raises ethical concerns and challenges: Bias and Fairness: AI algorithms can inherit biases from training data, potentially resulting in discriminatory or unfair outcomes. Privacy: The use of AI in surveillance and data analysis raises privacy concerns about how personal information is used. Job Displacement: Automation powered by AI may lead to job displacement in certain industries, requiring society to adapt to changing employment landscapes. Security: The same AI used to protect against threats can be used to orchestrate cyberattacks, creating an ongoing security dilemma. The Future of AI The future of AI is brimming with possibilities: AI in Healthcare: AI is expected to continue making significant contributions to medical diagnosis, drug development, and personalized treatment plans. AI in Education: Adaptive learning platforms powered by AI can provide personalized education experiences, enhancing student engagement and outcomes. AI in Environmental Conservation: AI can play a vital role in monitoring and addressing environmental challenges, such as climate change and wildlife conservation. AI and Creativity: AI-generated art, music, and literature are becoming more sophisticated, challenging our understanding of creativity. AI in Space Exploration: AI systems are used to analyze vast datasets from space missions, aiding in the search for extraterrestrial life and understanding the universe. AI in Robotics: Advanced robotics and AI systems are likely to transform industries like manufacturing, agriculture, and healthcare. In conclusion, AI's influence on our world is profound and multifaceted, touching every aspect of our lives. While Artificial Intelligence has come a long way since its inception, its journey is far from over. As AI continues to evolve, its potential to address complex problems and enhance human capabilities is boundless. The careful consideration of ethics and responsible development will be paramount as we navigate the AI-driven future, ensuring that the transformation it brings is not just profound but also positive. https://q-pros.com/online-test-request/...

11Jan

IoT Testing Applications

by q-pros

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The term “Internet of Things (IoT)” was first used in the early 21st century when a team of engineers discovered how to link objects to the internet through an RFID tag (Radio-frequency identification). The term IoT testing has stuck around ever since. Today, we are living in a world where there are more IoT-connected devices than humans. These IoT-connected devices and machines range from wearables like smartwatches to RFID inventory tracking chips. IoT connected devices communicate via networks or cloud-based platforms connected to the Internet. The real-time insights gleaned from this IoT collected data to fuel digital transformation. The Internet of Things promises many positive changes for health and safety, business operations, industrial performance, and global environmental and humanitarian issues. This article provides insights into the concept of IoT and how we at Q-Pros verify and validate implementations of such a trending technology through applying specific types of functional and non-functional testing. What is IoT Testing and Why is it Important? We have seen IoT applications growing tremendously across many critical business cases, which as a result, has made IoT testing essential to ensure quality is maintained to increase end-users’ adoption and satisfaction. [embedyt] https://www.youtube.com/watch?v=6mBO2vqLv38[/embedyt] With IoT around, there will be challenges and changes that the QA industry will have to adjust accordingly; it will have to focus more on user-centric testing and prevent bugs at the design stage. Software testing engineers will need to develop new skills and knowledge in embedded systems testing and build an effective strategy for IoT software testing. An effective testing strategy will include: Measure the quality of testing. Review testing toolset considering user feedback. Remote testing and debugging. Analyze test results and effectiveness. Automation testing through codes to preserve quality standards at each stage. Test analytics. Data generator tool. And an effective data testing management tool as well. Types of Testing To verify and validate IoT testing applications, the test engineers need to ensure the following types of testing are planned, designed, and executed to ensure full quality coverage: Functionality Access control Identity roles management Mobile and web applications Functional business requirements Connectivity Verify the device behavior in unstable networks Data restore when there is no connectivity or power loss Usability Ease of use UI Testing UX Testing Compatibility Validating all possible working combinations of devices, operating systems and protocols. Verifying the behavior of the developed hardware/software with the older versions of the hardware/software. Verifying the behavior of the developed hardware/software with the newer versions of the hardware/software Verifying the developed hardware/software performance after adding new update/feature or after a rollback in case of a failure. Security User authentication Device authentication Data protection Data encryption Performance Device-to-device communication Server-to-server communication Device to- server communication Network performance Automated Testing The Internet of Things Solutions World Congress (IoTSWC) 2018 predicts a slow simplification of communication protocol standards in IoT development. That means automated testing will most surly fully enter this industry. For now, testing applications connected to the network often results in sleepless nights. Since we cannot approach all IoT devices by automation, the use of automated tests for IoT is always a matter of a specific device. The simulators might help to render the network of IoT nodes and deliver a range of benefits for IoT product release: Accelerated testing is one of the top features Automation can bring to IoT Quality Assurance. It removes resource limits and provides cross-device/browser testing possibilities. Test Coverage. Since automated tests are cost-effective, QA would be able to cover a broader range of app versions and desktop & mobile devices, detecting defects even in the preliminary stages. Automated Test Cases can offer a higher code coverage with the possibility of covering complex scenarios daily. Automated testing might ensure the IoT testing app is multi-user and can be deployed in a dispersed environment. As IoT is an emerging technology in 2019, the role of automated Quality Assurance (QA) is one of the ways to accelerate product delivery and raise the competitive edge of the industry. To learn more about how we leverage AI in software testing and take advantage of modern solutions to level-up your applications you can request a uniquely designed testing service through our https://q-pros.com/online-test-request/ ...

10Jan

Blockchain Testing Implementations

by q-pros

in software testing

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Blockchain technology has revolutionized industries from finance to healthcare, and its applications continue to expand. As businesses increasingly adopt blockchain solutions, ensuring the quality and reliability of these implementations becomes paramount. That's where Quality Professionals step in, dedicated to ensuring the seamless functioning of blockchain systems through rigorous testing. The Challenge of Blockchain Testing Blockchain Testing is often hailed for its immutability and transparency, but that doesn't mean it's immune to bugs or vulnerabilities. In fact, blockchain implementations can be complex, involving multiple nodes, smart contracts, and intricate consensus mechanisms. Ensuring the integrity and security of these systems is a multifaceted challenge. Quality Assurance with Quality Professionals Quality Professionals specializes in comprehensive testing services designed to mitigate the risks associated with blockchain implementations. Here's how our expertise can benefit your business: 1. Functional Testing: Node Validation: We rigorously test individual blockchain nodes to ensure they perform as expected, verifying data consistency and transaction validation. Smart Contract Testing: Our experts evaluate smart contracts for vulnerabilities, ensuring they execute as intended and don't expose your system to potential threats. 2. Performance Testing: Scalability Assessment: We assess your blockchain's ability to handle increasing loads, simulating real-world scenarios to identify bottlenecks. Latency and Throughput Testing: Our performance tests measure how quickly transactions are processed, ensuring your blockchain can meet user demands. 3. Security Testing: Penetration Testing: Quality Professionals conduct rigorous security tests to identify potential vulnerabilities, helping you fortify your blockchain against cyber threats. Privacy Analysis: We scrutinize your blockchain's privacy features, ensuring confidential data remains secure. 4. Integration Testing: Interoperability Testing: We validate that your blockchain integrates seamlessly with other systems, ensuring smooth data flow and functionality. 5. Continuous Testing: Automated Testing: Our continuous testing services use automated tools to monitor and test your blockchain regularly, catching issues before they impact users. The Benefits of Partnering with Quality Professionals Quality Assurance: Our comprehensive testing methodologies and dedicated experts ensure that your blockchain implementation is of the highest quality. Risk Mitigation: By identifying and addressing vulnerabilities early in the development process, we help you reduce the risk of costly security breaches and system failures. Efficiency: Our automated testing tools save time and resources, enabling faster development and deployment cycles. Scalability: We help you ensure that your blockchain can handle growing user demands without sacrificing performance. Confidence: With Quality Professionals at your side, you can confidently embrace blockchain technology, knowing that your implementation is robust, secure, and reliable. In a world driven by technological innovation, quality professionals are your constant companion on the journey to powerful and reliable blockchain applications. Embrace the future of technology with confidence, knowing that your blockchain systems are fortified, secure, and ready to realize their potential. https://q-pros.com/online-test-request/...