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"QAonCIoud has helped us bring a higher level of quality to our web properties. Their team is highly capable and skilled, and bring a level of proficiency to the table that allows them to be immediately productive"
Sr. Product Manager for Web Technologies, AlienVault
"QAonCIoud have constantly impressed us with quick turnarounds and detailed reports on testing. In addition, they have accommodated our requests for quick tests and sanity tests within a few hours."
Program Manager, Indihood.
"QAonCloud is a great addition to our team, helping us out with testing and maintaining the quality of our product. They are very flexible and easily adapted to our processes and tools. They are very rigorous during the testing process, pay attention to detail, and always ask questions to our development team if something is unclear."
Chief Technology Officer, Prompto
- "In the past decade, mobile applications have become an unavoidable part of our life. From ordering food to booking tickets, we have apps for everything. AppAnnie says, last year, consumers downloaded more than 218 billion apps worldwide in 2020, a 7% rise from 2019. The numbers appear exciting, but in fact, 1 out of every 4 users will abandon an app within the first use. Today, mobile users want apps to be stable, occupy less storage, load quickly. Seeing how it is cheaper to retain users than acquiring new ones, product leaders should prioritize user engagement. What is the retention rate? 'Retention rate' is the percentage of app users that return to the application within three months of their first install. We can calculate an average retention rate over 30 days from when the application gets installed. If many users abandon your product within this period, it would mean that your app does not match their expectations. Reasons to focus on retention rate: Mobile users are quick to install a new application, but what matters the most to the users is if the apps match their requirements, and provide it in a convenient way. Retention rate can help you measure this aspect. There are over 5 million+ mobile apps vying for user attention, and it does not take more than 5 seconds to identify a similar one like that of your product. User acquisition is expensive, and only a quarter of users come again to the app, and the rest lose interest. It's known as the "churn rate," meaning a percentage of users leaving the app during a period. 5 Reasons why your App retention rates are Crashing Users uninstall apps when they are not satisfied with the app, and they do not want to waste their time and money on under-quality products. We must now explore some of the factors that will finally lead your customers to say 'Hasta la vista' to your applications. Huge Size: If your product takes up too much storage space, it is more likely that your customers will uninstall it. Due to this reason, many companies generally don't focus on making products that are too large. Your customers may find your product interesting in the initial stage. But once they realize that it is hogging a large amount of space on their mobile device, they will start looking for a smaller and better alternative. Loading speed and complicated UI: Users like to see the app opening within 2-3 seconds of tapping the icon. A simple app that is quick in loading, with simple instructions, is easy to use contributes to the application's success. Privacy Deficient: Hackers pose a significant threat to apps of any type and popularity. Users expect apps to be secure with high-quality protection. So, apps that make them feel insecure will refrain from making in-app purchases and give out negative reviews on the app store. Finding a better alternative: Every app developer claims their app to be the best in the market, but it is the view of the end-users that matters. Close to 29% of app uninstallations happen because the user finds a better app with more enhanced features. The older app will get deleted to save space and the threat of losing data. Misleading buttons and tap objects: In some apps, we see button-like images that are misleading. And in some instances, the actual call-to-action is not visible or accessible enough. It irritates users more than we expect and results in uninstalling the app. How can QA help in improving retention rates? The above-discussed problems occur when you are in a hurry to launch an app before your rival can. It might give you a quick fix and success to your business, but quality cannot concede in the longer run. For better user engagement, testing the app for device compatibility, security, accessibility, and high performance is a must for any app development team. Test the app for promises: Before launching an app, we must test if it can do what they promise to perform. This action makes it possible for the customer to have any disappointment and enhances your business's integrity. Bug-free experience: A thorough QA testing gives you the confidence to push for a bold product launch. You can feel assured that the QA process will have flushed out most technical glitches. While at production, we cannot make any significant changes to the system. So, proactive QA testing will give you a confident implementation. Increases User Engagement: A smooth, bug-free application attract users, improves engagement and increases positive reviews on the app store. Likewise, experiencing frequent crashes and freezes is unpleasant to users. According to a survey by Techbeacon, 53% of the users uninstalled or deleted an app because of it. QA helps to reduce the risk of glitches and boost an optimistic experience. Better Security: Every app asks for some user data. So, the information stored is prone to online hackers who are waiting to steal it. Online security is a hot topic, and users insist on keeping their data safe. They do not wish to provide it to any external bodies without their permission. Before launching the app, conduct QA testing to fix security loopholes. And avert potential PR disasters that will impact your brand image. Saves Money: Rushing to Launch the app without testing can cost you in many ways. Any uncovered bugs will cause app penalization, bad reviews, and a poor user retention rate. Moreover, it is expensive to fix defects in apps that are in production. Organic Referrals: Organic leads are the best referrals. When the existing users invite their friends to use the app, they come with an open mindset. They will be aware of the benefits and value proposition of the app. Business know-how says 54 % of chief executives opined that customer referrals as their most valuable source of leads. When you have a bug-free, safe and smooth app, customers will gladly bring their friends to your app and fuel continuous growth. 2020 App Retention Benchmarks For years, retention is a pain point for marketers, and 2020 is not an exception. The average retention rate decreased this year by 12%. The pandemic has caused a swell in app downloads, but the retention rate slumped because of the intense competition. Key findings: The quality of apps in Apple's IOS stands out 42% higher than Android's. App remarketing can boost revenue and save costs in the long run. Apps that run remarketing campaigns proved to perform better than apps that do not. Developed markets deliver higher quality apps for users with 80% higher retention rates. (Source credits: Appsflyer) Final words Laying down everything on the table, I recommend you hire a QA outsourcing agency. It is best to see your app with an unbiased pair of eyes before launching and check it in a critical mindset. Automated testing with the help of QA testing tools will save a lot of your time and energy. You can focus on your core competence and leave the hassle of QA software testing to us. We at QAoncloud, follow Quality assurance best practices to fix bugs, giving your users an exceptional experience, and ensuring data security. These vital points help to enhance your user engagement and improve retention rates."
- "A Penetration Test is a simulated external hacking into your own application to identify security vulnerabilities. By carrying out simulated attacks, you can uncover weak points through which a hacker can gain sensitive information. A weak point can be anything from system glitches, possible human errors, and susceptibility to brute force attacks. Nowadays, due to the increase in the incidents of data breaches, it is in your organization's best interest to conduct Penetration Tests at least once per year. Penetration Tests must be absolute and thorough, if you miss any of the security loopholes in your system, it can and will be exploited by egregious parties. To conduct an effective penetration testing process, follow the infographics below that explain the 5 phases of hacking into your own IT systems: Planning and Reconnaissance, Scanning, Gaining Access, Maintaining Access and, Analyze and WAF Configuration. It is important that you make detailed notes on tests performed so that the results can be validated and resolved. Click on the infographics to know more about how QAonCloud can help you make your IT systems Secure, Scalable, and User Friendly."
- "Test cases For automation testing - Introduction We are in the Automation era, as we could see each and everything is shifting from manual to Automation. From withdrawing cash to parking lot tickets, there is nothing in the digital world that doesn't need Automation. So, can testing projects escape this change of world? Definitely NO! But why has it become a necessity than a luxury? Obvious reasons like a more significant number of users and performance quotient. We as individuals look forward to efficiency and quality of work from the service providers. More people use the same way technology than before. So, to achieve production and service vast number of users testing must take a step ahead. What Is Automation Testing? Automation testing is a technique in software testing where we use a software tool to test the test cases and compare the outcome with the expected result. This is just an automation process of the age-old manual testing. This way, we could benefit from the following: Save time. Improve test coverage. Increase ad-hoc testing. Reduce cost and Maintenance. Why Automation Testing? Is Automation testing a replacement for Manual testing? No. It just compliments the manual testing. So, like manual testing, we need a plan, strategy, and monitoring process, and the critical item is choosing the suitable test cases for automation testing. Let us investigate the significant advantages of automation testing: To prepare Test Data. To execute tasks like Regression tests. Works better with complex logical test cases. Helps in managing cross-platform test cases. Complex test cases are difficult to be performed manually. Repetitive iteration of the test cases if the number of executions is not known. Challenges Of Automation Testing We know automation testing is going to save costs and time. It tends the team to rush and automate everything they can. So, we will not be sure of which test cases to automate or which to ignore. I would say the primary challenge in automation testing is to choose the correct test cases for Automation Testing. As there is no hard and fast rule for the same, we can help you with our experience of selecting the right test cases. Testers generally find Automation a threat, but it helps them do their work more efficiently and maximize production. According, the World Quality Report in 2019, 24% of teams still struggle to decide on the exemplary test scenario. I hope by the end of the read, you will have an idea of how to choose the test cases for Automation and have a successful testing journey. What Is A Test Case? A test case is a detailed document with the specifications, input, steps, testing conditions, and expected outcomes for executing a software test on the application. Typically, there are two test cases – one with a positive test case where input is correct and the other with a negative test case where the input is wrong. It helps us to check how the application reacts to both scenarios. This way, multiple test cases are combined into a test suite for testing and Maintenance. Identifying The Correct Test Cases For Test Automation A valuable brainstorming on the testing requirements and testers capability will go a long way in achieving the desired results from the Automation testing. The critical factors upon choosing automation test cases are as follows: Execution Time Test Frequency Resources Requirements Subject to Human error The Downside of Automation not compromising on the ROI. Now we can see each factor in detail and understand how to choose the correct test cases for Automation – Execution Time: If you feel the test case will take more time than done manually, it will be a perfect choice for automation testing. This way, we can use our testers to perform the testing efficiently. Also, we can handle large data sets with a limited number of testers. Test Frequency: When we need to repeat the test significantly, the ideal option would be automation testing. Tests like regression tests are vital for Automation testing as we need to run with every application building. Resources Requirements: Resources include – OS, Browsers, Devices, and Databases. The user involvement required in the test will primarily decide if there is any need to automate test cases. The higher the involvement lesser it qualifies to automate. Subject to Human Error: When we feel there is a chance of significant Human error while performing the test manually, we can include those test cases in the test suite for automation testing to enhance the quality of tests and less time consumption. The Downside of Automation not compromising on the ROI: Basically, the downside of automation testing includes implementation cost, maintenance cost, and Human intervention. Value of ROI has time, insights, and the human resources saved. When the Value (ROI) outweighs the downside, it qualifies for the correct test cases for automation testing. Test Cases For Automation Testing We have arrived at the core of the article to evaluate what tests will be ideal for automation testing. And most importantly, what should not be automated? Test Cases To be Automated Some tests that we highly recommend for Automation are as follows: Regression Tests Performance Tests Data-Driven Tests Unit Tests Integration Tests Functional Tests These are just a few suggestions, and its subject based on the application and your team's strength. Regression Test: Tests like smoke tests, sanity test, requires more time and significant human resources. So, this automatically qualifies for automation testing. If done right, this gives developers the ability to check that the entire system works flawlessly after a code change with limited to no human supervision. Performance Tests: Tests like the Load test a Stress test is highly repetitive and time-consuming. Also, to achieve the entire exposure, it's tedious and tends to compromise on quality. This way, we have an ideal candidate for automation testing. Data-Driven Tests: Data-driven tests are prone to human error as there will be positive and negative input. There are chances of missing data on the application's crucial components wherein they will have a more significant impact in real-time. A data-driven automation framework will help to perform efficiently. When the tester is highly skilled and can handle the application well, data-driven tests are perfect for automation testing. Unit Tests: Unit tests are highly reusable and low maintenance costs. Therefore, highly suitable for automation testing. It is easy as we can use many host frameworks to implement regardless of any programming languages. Integration Tests: Integration tests involve different modules and interfaces; Automation helps us ensure everything is working well as expected and instant feedback. This way, we can find where the actual problem persists if we failed to achieve the desired outcome. Fast, reliable, and highly efficient. Functional Tests: Functional tests are well established in the automation testing category as they have a whole host of tools and frameworks that can match with our development code-base. We recommend automating the functional testing fully and the best approach for automation testing. Test Cases Not To Be Automated As we all know that Automation is the best solution for Quality, Speed, and Efficiency, we should not rush and automate every test case. That can backfire, and it will be hard to clean up the mess. Exploratory Tests: These tests do not have a concrete framework or criteria for the application to evaluate. It, when automated, can give confusing outcomes or sometimes false outcomes. These are less reliable and do not qualify for automation testing. Usability Testing: The software cannot mimic human emotion and reaction to the application. So, this can be highly misleading and a wrong choice for Automation. Intermittent Tests and Low-Risk Tests: Just because we have the privilege to automate does not mean we need to automate every test case. There are chances of unpredictable outcomes in these tests. Anti-Automation Tests: The best example of an anti-automation feature is CAPTCHA. There is nothing more to elaborate, and this example is self-explanatory why we should not automate this. Final Words On "Test Cases For Automation Testing" I hope this article would have taken away the myth that automation testing is a threat to testers. It is a boon and an added advantage to increase the speed and quality of the testers. Automation testing will evolve and spread across environments in the future. So, getting skilled and understanding the basic idea of choosing the correct test cases for Automation is the foremost step in beginning automation testing. This way, we can maximize the outcomes, save time, and provide reliable, efficient results. Considering the opportunities evolving from AI/ML integration, it is evident that Automation testing will have a brighter future."
- "Introduction To Usability Testing Of Website Our Website users are a mixture of three generations, the '80s,'90s, and 2k. They have evolved from different transactional habits, and they also have a different approach towards technology. But the best part is technology has met all three expectations and standing firm and continuing to move forward. So as product developers, we have the responsibility to meet their needs and give them a feel-good experience throughout. To achieve this, before implementing the website or any UI to the vast crowd, we need to do usability testing of the website. This way, we can control the risks and save a lot of money. What Is Usability Testing? Usability testing helps us test the website’s functionality by real users and how they approach to complete the flow of tasks with minimal help. Why Usability testing of Website Is Important? Reveal the pain points of the user. Identify the areas of confusion. Seizing opportunities to improve the overall experience of the user. User Testing Vs. Usability Testing We generally tend to confuse between User testing and Usability testing. So, a brief description about the same is as below: 1. User Testing This is more of a discussion or testing about your business/product idea. E.g., If you feel there is a demand for organic products in your location, the business owner extends his service by creating online booking to that audience as he does not have a physical shop in that state. 2. Usability Testing After you have drafted the plan to open an online business to that audience, this comes into action. We give the audience a set of tasks to use our product and understand how accessible we are and their overall experience in executing the search to the transaction. We might now feel that the trained developers would have checked the website before bringing it to the customers, so why is usability testing of the website vital? Why the buzz? Here, we need to understand that people with in-depth knowledge can go blind to real-time website usability issues. So, the ideal crowd to do the usability testing would be real-life users. Ordinary people will be of varied IQ and experiences and therefore we can see various approaches when they use the website. It will help us to enhance our website experience. Some everyday observations during the Usability testing of the website: Were they able to understand the site or they get confused? Feeling lost in the middle of the site. It helps to learn about user's behavior and preferences. Usability Testing Methods When there is a process in place, we would have derived some strategies and techniques to achieve the results—developing the below-mentioned methods keeping end-users interest in focus. We can classify the first two testing methods we have discussed as Moderated testing: A. Guerrilla Testing It is the primary form of testing to go into a public place and ask people about our prototype. We choose test participants randomly. It is low-cost testing but efficient as we can get real-time feedback and emotional impressions about our concepts. B. Lab Usability Testing It is done in unique environments like laboratories and supervised by a moderator. Moderators are professionals who look to obtain feedback from real users. These moderators also facilitate participants through their tasks by asking questions and giving responses to their difficulties. Compared to Guerrilla testing, this is much costlier as you need to organize and run in a secure environment. Some risk factors in moderated testing are we need to invest in choosing efficient moderators. In lab testing, the users might not be having a usual behavior as it is a controlled environment. C. Unmoderated Remote Usability Testing A usability testing of a website is done without a moderator, mostly remotely. Test results are quick, robust, and inexpensive. The Cost of unmoderated testing is lower. More natural user behavior can happen as they are in their comfortable environment. We use unmoderated usability testing when you need larger samples to prove critical findings. For example, when you have a particular hypothesis and need to validate a large segment of users, it helps better. D. Contextual Inquiry It's less a usability testing method and more of an observation method. The Product team asks questions about their user experience with the product and then observes to question them while working in the environments. Contextual inquiry helps to find helpful information like a workspace, personal preferences, and habits. This info helps the product team to give a tailored experience. There will be no immediate opinion provision; instead, participants are watched, observed, and taken notes to offer detailed reports later. E. Phone Interview Moderators will guide the users to complete a task on their device, and instant feedbacks are collected. We use this test to achieve results from users in a different part of the globe. Also, to conduct this test, we need trained moderators with good communication skills. F. Card Sorting The Card sorting technique helps when you want to derive an optimized architecture of your product. It is a comparatively uncomplicated technique where you place concepts on cards and allows the users to manipulate the cards into groups and categories. Once the users sorted and arranged the cards, we ask them to explain their logic to understand the reasoning. This usability technique of the website will help the product team to organize their contents and features. It would be a hypothesis, so it's mandatory to validate with real users. Data-informed decisions can be achieved using this technique. G. Session Recording This usability testing will have anonymous users. When they are interacting with the site, we record Their interactions live. So, we can understand what content and features interest the users. Mostly Session recording technique complements the other mentioned techniques rather than a standalone. A/B testing vs. Usability Testing Of Website - Confused often? It is another common testing technique that takes a similar avatar like that of usability testing, but when investigated deeply, we can clearly understand the difference as below: A/B testing – This technique helps us to identify which version of the page converts better. Usability testing – The usability testing of a website helps identify issues that stop the user from having a fantastic experience. Usability Testing Tools How to use Website Usability testing tools effectively? Choose the appropriate tool which meets your requirements. Test with your target users Gather Feedback Based on the information from peers in Usability testing who have 15+ years of experience, we have suggested the below tools: 1. Loop11 This usability testing of the website tool helps to unmoderated remote usability testing. The features consist of: It supports testing on PC, mobile, and Tablets. Screen recording with video and audio features. Inclusive of varied metrics like task completion rate, click stream analysis, System usability, and so on. 2. Usabilla When our motive is to achieve usability testing, we first must prioritize the user journey, and the best tool to achieve the same is Usabilla. Four significant concerns to validate user journey analysis – Ease to use. Integrity Efficiency Accuracy Usabilla fits rightly to prioritize these qualities and helps us to validate the same. 3. Website Content Readability – Juicy Studio We insist website readability is one of the critical features for a great user experience. Though a web app is not content-centric, a user interface problem can affect retaining the customer. So, we suggest Juicy Studio analyze the readability of all given content. It works based on various readability algorithms. USER EXPERIENCE User feedback is ideal to improve the user experience of your website. Few points to address before suggesting a tool are: Sense of Fulfilment Useful Quotient Emotional Quotient Based on these scenarios I would suggest the following tools to grade the user experience by getting actual feedback- UserVoice User Report Final words on Usability Testing Of Website - I would like to conclude by giving the benefits we get when usability testing of the website is accomplished: Saves money and time in the long run for development projects. It strengthens the product's potential to succeed and retain the market. Customer Retention Emotional connectivity Performing Usability testing enables us to effectively enhance our product before and during the development. So, we suggest anyone who creates a product should be aware of the benefits and importance of usability testing."
- "Test Data Generation - Introduction Test data generation is a critical aspect of the software testing life cycle. Tests like Stress Testing, Performance Testing, and Load testing require a huge volume of data to produce proper results. Thus, testers constantly need to look for ways to generate a large amount of data in addition to the ones they are already collecting & maintaining. Testers must also ensure the test data are valid, credible, and reliable. According to an IBM study, up to 30% of the test failures are directly the result of improper test data. This makes the process of managing and creating test data a labor-intensive and cost-intensive exercise. This could eat up to 30-60% of the resources of testing projects. Moreover, the recent advances in data privacy laws require testers to exclude Personally Identifiable Information (PII) from test-case projects. This keeps real-time production data out of most testers' hands. It raises the challenge of generating fictional yet realistic privacy-compliant test data. So how do testers generate an adequate volume of test data accurately within a short time frame? Some innovative test data generation solutions to this complex situation have come forth, which we will cover in this article. Test Data Generation Techniques 1. Masked Production Data: Using live production data may be a tempting shortcut to generate quick test data, but this method is highly vulnerable to breaches and violates existing privacy laws. However, it doesn't mean you should stay away from production data. By anonymizing and masking GDPR sensitive PII, you can create a quality, highly representative data set quickly. If you do not have production data readily available, you can quickly try out the following methods to generate a large volume of realistic test data. 2. Automated Test data generation and 3rd-party tools: Test automation tools such as Selenium allows testers to reach an adequate amount of data by automating data generation. Time constraints are not applicable in this method, and Web APIs will improve the data's volume and accuracy. Testers, however, need to spend more time defining test cases while using automated testing tools. In addition to open-source testing frameworks, various 3rd party testing tools have emerged in the market. to help testers generate quick test data over time. These tools have in-built test scenarios that cover a wide range of use cases. Most of these tools create highly accurate data based on the parameters set, freeing up time for testers to carry out the testing process. These tools are quite expensive, and you need to consider a tradeoff between time and cost. 3. Based on Mathematical models: The latest iteration in data generation techniques, mathematical modeling, or path selection modeling generates data based on the test data generator's predefined paths. It uses a mathematical approach to data generation which works in the principle of: for a program X and user flow Y, inject data A, such that A follows the user flow Y. Some of the popular path data generator models are the Random test data approach, chaining approach, and assertion-oriented approach. To acquire large-scale adoption, path selection model testing shows enormous potential to replace manual testing methods in their entirety. Final Words on Test Data Generation Test data generation techniques are constantly evolving, and testers need to be aware of the latest approaches to build quality software. The techniques discussed can tremendously reduce the time to generate reliable test data and make the testing process efficient. If you need help in adopting the latest best testing practices, reach out to us at QAonCloud."