QAonCloud helps you uncover the potential risks of your application before it is deployed and reaches the end-customer.
Web application testing is a software testing technique to find out the potential bugs and defects that could hamper the functionality of the application. Web apps are used across various browsers, operating systems, and networks. Almost every business runs online today and users have multiple options to choose from. An application will reach the maximum number of customers only when it is best in terms of quality and customer experience.
QAonCloud’s testing experts perform end-end functional testing and ensure a 100% test coverage of your application. We follow a strategic approach that validates your application right from the user interface to security. Our team focuses on the features which cover the major functionalities and then move on to every other feature. We do not compromise on quality and report every possible defect that could downgrade your application. Our automation experts choose the right web testing tool to automate the most frequently used tests that will save you a huge amount of time and money.
Our dedicated functional testers perform an end-end functional testing of your applications to bring out the best in quality.
Our team of automation experts eases your manual process by automation to ensure maximum test coverage at a faster return on investment(ROI).
QAonCloud’s security testing process uncovers your application vulnerabilities and gives you a risk-free product journey.
Our regression testing services enable you to rectify errors as your application progresses from one release to another.
QAonCloud’s API testing methodology ensures a complete end-end validation across all layers of your business application.
Our QA experts implement the best agile practices to address the changing needs of our customers and help them deploy a successful product on time.
Our experts improve your test coverage across platforms and make it easy for you.
QAonCloud’s team of experts makes sure your application is tested across various browsers ensuring complete test coverage across browsers.
- "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."
- "Reasons Why Tech Startups Fail The millennials are too tired of 9 to 5 jobs and a monotonous lifestyle for a decade now. They have a good skill set and corporate experience, which pushes, them to open startups with the knowledge gained from their work environment. But does everyone see success in venturing startups, and what are the difficulties they face to be consistent in their entrepreneurial dreams? Let us see the top 10 reasons for tech startups fail and how we can recover and be ready with measures to overcome the failures: Top 10 Reasons Why Tech Startups Fail 1. Fear Of Losing For us Humans, the greatest fear is to lose in anything we do. It is the same in business and has high stride in startups because they are amateur to business and would have never predicted any losses. Learning how to take a loss and move on would be an ideal key for the business owners to stay consistent and can neutralize the tech startup fails in the longer run. There is an enduring saying on Wall Street, "Cut your losses short and let your winners run," which applies even to the startup cultures to be successful. Founders have to understand the risk associated with the business and predict the loss that might occur. Then they have to apply the best strategy to minimize the loss and move forward. 2. Lack Of Investors Capital is the primary entity for any business, and it is the same for tech startups as well. What may go wrong here? We would have planned our finances, and still, some tech startups go through a rough phase. It is where we must talk about the values of the founders and the brand. Investors may not be on the same page with the founder's values. They will lack the basic understanding behind the values derived. There is another unsung investment to be talked about when we consider tech startup fails in recent days. Guess what? The answer is investing in the skills of our employees. The workforce is the biggest strength of any organization, so investing in your employees' skills would go a long way in our business success. Hiring a suitable candidate for the organization in terms of values and skill set is ideal for a successful team. What is a company without a team, right? I guess we will give it a thought. 3. Poor Marketing We all would have observed this pattern of only 10% of the tech startups making it to their business journey's 10th-year mark. Maybe outwardly, we wonder all are doing the same thing, but the reason for this difference in performance. So, what they are doing differently? Yes, it is the Marketing. We see the high-performing brands still invest in their marketing strategies consistently through their journey even after ranking No.1 in their field of expertise. A great marketing plan plays a vital role in taking their brand to a different level, reflecting in the potential lead and productive sale closure. Efficient Marketing strategies and understanding the market need to go hand in hand to avoid tech startup from failing on a larger scale. It will also help the brand presence stay in the market rightly available for the customers(users). 4. User Unfriendly Products "Customer is King" "Customer is always right" is a famous saying of any successful entrepreneurs, and marketing gurus never open a speech without stating these phrases. So, for any successful business, Users of the Product (Customer) is the destination of all our efforts. The startups might not have a protocol or a case study to refer to or understand the user needs. It may lead to tech startup failures as, by the time they know the consumer's mind, we fail to perform their timely needs. To avoid this, we should consciously pay attention to Customer feedback from the initial stage of the development. This way, we can earn the clients' integrity and neutralize the tech startup's fails and stay in the market consistently. 5. Lack Of Networking "No man is an Island" is an important saying when it comes to business. If given a chance to read about the famous business tycoons and successful individuals, we can see a trend of causes that have contributed to the strong networking channels created over time. So, do we jump out and start making connections? Definitely No. Connections that are relevant to our niche are what we need. Invest in good networking programs and create a long-term relationship with mutual benefits. We will get noticed when we make relevance in our connectivity and when people start seeing us, it will open the path to newer opportunities. Like-minded intellects always share unique ideas, which will set free the creative talent. Even when you go towards a failure, innovation would have risen. 6. Lack Of Focus Majorly all tech startups will thrive on climbing the top positions and set a brand image for their company. In the urge to try, they also try to tackle everything at the same time. So not shifting focus on one problem at a time and being the best at one niche will stop you from fails. We hear about tech startups fail very often, and one important reason would be this. Any new innovators who would love to have their startups will benefit from the wise knowledge shared by experienced tycoons talking about this same focus. They say, "chose your Niche" and be the best at it. It will only elevate your business to the next level and not detract you from the process. 7. Business Model and Testing We have the skill, created contacts, and yes, we can bang on hit the bull's eye. But still, why 1 in 10 tech startups fail? Primarily it would be because of the lack of a business model. We have concentrated on selecting a good team, have all the infrastructure in place. Provided high-quality skill training to the employees and fixed a niche. After doing all the above still, tech startups fail because they did not test their business model or did not have a useful business model. They should have a scalable way to acquire customers and monetize them. When we get new ideas, always put them into the business model canvas and test them before implementing them. 8. Not Listening To Customers' Needs Founders should always think of "What is the trend? What do we need to succeed in the Current Market? " Do not ever fall into the assumption trap. We think this is what is suitable for the customer, but his needs would be different. Stop assuming and start Testing. Always before implementing any new feature, do your A/B testing. This way, we can save a lot of money and sustain the threat of failure. 9. Vision and Passion A good visionary becomes a good leader. We all know about Dubai how it raised from the barren deserts to one of the world's wealthiest countries. It all became possible only because of their visionary ruler. He did not fear the current problems, he found ways to tackle the present issues, but he always had a future craft. Similarly, a startup needs a visionary leader and a passionate team to move forward. Handle the existing problem and never stop running towards your goal. 10. Bad Debts In the initial stage of our setup, we will agree to work on credit and eventually get into a financial crunch. Ideally, we need to build customer relationships and bring in work to stay in business. But we cannot ignore the fact that our company will suffer in the longer run. So always validate the client's reputation before issuing credit. We can accept post-dated cheques, and if it bounces back, what can be the turnaround ways to recover the money. Announce the right incentives and offers to the clients if they pay in advance. Recognize your employees with incentives when they bring in cash in advance. Final Words Pat your back! If you are already implementing all the above qualities in your work environment. For others, do not forget to choose the right investor who is at the same pace with you and passionate about your values, choose the best team, don't lose focus, and never underestimate your customers. Always their needs will be our priorities. Good Marketing will keep you elevated in the market and rightly available at the right place at the right time. If you have noticed any other characteristics followed by a successful startup, we would love to listen to you. As we said, networking is the super-hero to stay in the market and keep innovating."
- "Introduction To Banking Application Testing We live in a digital age when everything we need is literary at our fingertips. With recent innovations and advancements in technology, the banking industry is also going through digital evolution. But the complexities tangled in the functioning of a banking application and the amount of crucial data these apps are holding made these apps the most advanced and complex enterprise solution. Customers, through these applications, can make all types of transactions like paying bills, making deposits, investing, transferring funds, balance verification, etc., Customers are also sharing their crucial personal and financial data to access these banking applications. This calls for the need to test the banking applications under various test environments to deliver a high performance that meets customer's requirements. Furthermore, banks need to develop a robust reporting system to secure the customer's day-to-day transactions. Testing a banking app helps banks to ensure that these apps are working efficiently. It needs a witty team experienced in software testing, particularly with banking domain expertise, to craft an effective banking application testing strategy. The strategy should be to cover mobile, cloud, internet, and other features of the application. First, let us have an understanding of Banking application testing. What is Banking Application Testing? It refers to the process of testing banking apps for functionality, performance, and security. The main aim of testing banking applications is to ensure that the app runs smoothly with no errors and remains secured. According to our domain experts, here are some main characteristics of a banking application in general. Characteristics of a Banking Application: The following are the main characteristics of a banking application, according to our banking domain expert. There must provide proper integration of banking app with other applications like trading accounts, bill payment utility, credit cards, etc., The processing of transactions should be fast and secure. Must support thousands of user sessions from multiple locations at once. Systems should have massive storage capacity. Capability to perform high audits while troubleshooting customer issues The app should be able to handle complex workflows. Should support multiple Operating systems and platforms like Windows, Mac, Linux, and so on Able to provide support for multilingual customers Systems must support multiple service sectors and payments systems. Disaster management mechanisms must be Foolproof. Areas To Focus For Achieving Best Results In Banking Application Testing: Software testing is very crucial to assess whether the banking application is working efficiently and seamlessly. Testers often face nerve-wracking challenges while testing a banking app. In this article we tried to shed some light on the critical areas that require more focus to achieve the best results in Testing a banking application software. 1. Checking User Interfaces And User Experiences Banking Softwares generally have a user-friendly and intuitive interface since most bank employees lack computer skills. The UI of the app should contain simple graphic attributes like buttons, icons, fields, etc... The application interface should be so that the bankers won't have a hard time creating or adding new client profiles, assigning them new banking outputs, managing everyday banking operations seamlessly, etc. Having user-friendly interfaces can save a lot of time for bankers, thereby forming a positive relationship. So, it is advised for testers to put their full focus on testing User interfaces and User experience thoroughly 2. Checking Application’s Performance The primary issue that could affect the user experience is performance. This is why every banking company must provide their customers with an application that performs well under different network conditions. This also includes the time taken by the app to respond to customer interactions on different devices. Testers also should focus on additional vital areas like CPU, RAM usage, Battery consumption, Data Consumption, sensitivity to operating system versions, and other factors. Check all the parameters to make sure that the app can provide incredible performance. 3. Testing For Security Vulnerabilities No matter what industry a company belongs to, if they work with customer's crucial data, the company must ensure data security, confidentiality, and protection against data leaks. Particularly in the banking sector, data security and integrity should be the top priority. Therefore, security testing is mandatory while testing a banking application. This calls for in-depth knowledge in security testing and the ability to craft a comprehensive test strategy that checks for possible vulnerabilities. QA team should have experience dealing with banking software to test the app and assess potential security risks in the future. In Online banking systems, it is much needed to simulate possible issues by performing load & stress testing and performance testing. 4. Testing Functionality Of The Banking App Banking apps are complex due to the thousands of modules and dependencies between these modules. Due to this reason, it might take more time and resources to test a banking app. The app should create, update, integrate, and delete internal and external operations in the banking process chain. A tester should test all the dependencies of the modules and the boundary sections. It is recommended to combine API with functional testing to avoid flaky tests, if any, to minimize setup costs, and to keep functional testing short and focussed. 5. Testing Specific Scenarios in Banking Not all industries are the same. There are some unique sets of scenarios that apply only to specific industries. Mobile banking applications have specific scenarios that are unique for the banking industry, which cannot be observed or applied to any other industry. For example, cheque scanning, fingerprint authentication for transactions, Rooting or jailbreak device identification, SSL pinning, OTP requirements and so on. Due to this, our domain experts suggest testing all use case scenarios. Final Words on Banking Application Testing A tester should always test an app from a user's perspective. And that is why testers should understand the application and list out the categories for which a user uses the banking app. By shifting more focus to the areas mentioned above, a QA engineer can increase his testing speed and help the banking company provide high-quality mobile banking apps to their customers on time. If you have any more queries, feel free to talk to our experts today!"
- "Product risks and Project Risks - Introduction "A Project is a solution to a Problem, Solving which you get a working Product" - Anonymous Many people will often have a puzzled look on their faces when they hear the terms; Product risks and Project risks. Many individuals find it difficult to understand. Henceforth let us try to understand it. So, first, let us see what Project and Product are? Product: A Product is like 'All set to Use.' Companies usually manufacture the products and sell them to different customers or may also provide it for free. If If a customer asks for a customization, like changing color, title, appearance and would like to have additional Functionality, companies can customize the product based on their customers needs/requirements. Here are a few examples for better understanding: Buying a flat after the completion of construction. But for this situation, you can make minor changes like paints and interiors only. Google products like Gmail, Drive (Free sources), Oracle products like Databases, etc. Project: A project is a temporary endeavor undertaken to create a unique product, service, or result to achieve an outcome. Often, we gather the requirements from a particular client outside the company. Here are some examples: Buying a flat before construction. Here as per your wish and need, you can do the construction. Developing a new product or service What Is Product risk The risk which is associated with the software is The Product Risk. It results from problems that occur after the delivery of product. The products risks are also known as Quality Risks. Characteristics Of Product Risks Functionality as per client requirements Reliability of software Performance Efficiency Usability Security of software Compatibility Ease of maintenance Portability Examples Of Product Risks 1) Software doesn't work according to users' desires. e.g., A user wants to purchase an item and adds it to his Cart. During checkout, the item goes out of stock and its value is deducted from the Cart. However, the application did not display any message to the user about what went wrong. 2) Tight timelines that make individuals work in a hurry and perform more mistakes. What Is Project risk The risk associated with the testing activity, endangering the test project cycle, is The Project Risk. In other words, it is an uncertain event or activity that can impact the project's progress. To manage project risks, we have to apply concepts like identifying, prioritizing, and managing the project risks. Examples Of Project Risks 1) Due to the lack of system admin postponement in fixing the test environment. 2) Test Environment is unavailable. Risks are unavoidable in a business, yet it is crucial to guarantee that the effect of risk ought to be least. Content Contributor: Ranvitha Rao, QAonCloud"