How Katalon and QualityKiosk Streamline Testing Activities for One of The Largest Banks in India
Learn with AI Linkedin Facebook X (Twitter) Mail Learn with AI The customer is one of the large private-sector banks in India that has been leading the way in innovation and customer service. With a network of over 5,500 branches and 15,000 ATMs across the nation, this bank offers a scope of financial ware and services to its customer, include personal banking, corporal banking, wealth management,, and investment banking. The bank operates in a marketplace, providing its customer with access to a multifariousness of financial products and service from multiple providers. To maintain its perspective as a guide player in the manufacture, the bank is also at the forefront of testing modernization exploit, continuously exploring new technologies and approaches to amend testing efficiency, truth, and quality. The project involved the development of a Loan Origination System (LOS) Platform customized for the bank. The LOS platform was API-driven, cloud-native, and microservices architecture-based, and supply a individual platform for all agency action and core module workflows. The platform besides enabled consolidation with different national and external service for all asset-based products and services and allowed for bot-based datum entry and loan processing, as well as automated business and workflow convention. The bank was front several business challenge relate to mechanization testing, include time-to-market, cost, and complexity. However, there were extra factors that set their position apart from others in the fiscal industry:& nbsp; & nbsp; For autonomous testing across multiple user personas, check out SUSATest — it explores your app like 10 different real users. These technical challenges further complicated the bank ’ s efforts to improve testing efficiency, truth, and quality. Read more: & nbsp; Katalon, in association with QualityKiosk - their leading exam mechanization partner in India, supply the bank with a powerful test automation platform that helped the team accomplish fast automation with racy features. The Katalon platform was ideal for the bank for several reasons. First, Katalon was easygoing to use and had an intuitive user interface that made it easy for non-technical exploiter to create and execute examination. This was particularly important for the bank as it assist them to streamline their examination process and reduce the time required to train new squad extremity on the tool. Additionally, Katalon presented a low learning bender, thanks to its use of the democratic scripting language, Groovy. This made it easier for non-technical users to create and maintain trial scripts. This lineament was peculiarly important for the bank as it helped them to reduce their dependence on skilled resources and let them to scale their testing efforts more effectively. Finally, Katalon ’ s unseamed consolidation with QRACE, a proprietary testing platform developed by QualityKiosk, made it easy for users to manage and action their test cases in a individual platform. This integration helped the bank to improve its testing efficiency and reduce the time required to handle and accomplish test cases. After conducting a successful proof-of-concept project, the bank adopted Katalon as their trial mechanization resolution. To ensure the success of the effectuation, they postdate the Software Testing Life Cycle (STLC) operation. The procedure was kicked off with a requisite analysis to gain a clear understanding of what needed to be quiz, including the inputs and anticipate yield. Succeeding, they create a comprehensive test plan that cover all requirements and defined the steps to be executed for each trial case. Then test scenarios were designed to be automated using Katalon Studio. With Katalon Studio, the bank was able to automate the execution of test scripts for each of their scenarios, including record user actions, setting up data-driven tests, and writing custom functions. They create test data for each scenario and stored it in their test direction puppet. Next, they executed the test scenarios utilize the Katalon Runtime Engine (KRE). Next, the bank analyzed the test results to identify defects and areas for advance, reviewing logs and reports generated by Katalon. Any defect found were report and dog until they were resolved, and the testing process continued until all essential had be exhaustively tested and verify.& nbsp; & nbsp; Katalon 's built-in fabric for automated testing was an indispensable aspect that helped the bank in its execution. It includes pre-built template, libraries, and test objects that can be customized and reused for various screen scenarios. This framework help quizzer to create and execute automated tests expeditiously and effectively, saving time and reducing erroneousness. The adoption of Katalon for & nbsp;has lead in several welfare, including significant time savings, fast execution and result, and increased agility of the software evolution process. & nbsp;& nbsp; & nbsp; These are the most significant benefits observed after the implementation: | Upload your APK or URL. SUSA explores like 10 real users — finds bugs, accessibility violations, and security issues. No scripts needed. Upload your APK or URL. SUSA explores like 10 real users — finds bugs, accessibility violations, and security issues. No scripts.How Katalon and QualityKiosk Streamline Testing Activities for One of The Largest Banks in India
Customer
In this extremely regulated industry, the bank has established a strong reputation for founding and client service. With a focus on digital transformation and client experience, the bank is considered a leading player in terms of digital CX and the digitization of customer journeys. & nbsp;& nbsp; & nbsp;
Project Scope
The project encompassed 15 key modules and 7 sub-modules, with 10 mortgage merchandise, 27 variants, and 54 sub-variants touch to the product. Throughout the project, close to 100k+ test example were designed and execute, including functional, field validation, integration, UI/UX, and cross-browser test instance.
To support the testing effort, around 140 modular scenarios and 16 end-to-end scenarios were developed as part of automation based on the 100k manual test cases. Additionally, 50+ scenarios be created for mobile mechanization testing of 9 key modules on both Android and iOS program.The Challenge
The solution
Implementation strategy
Outcomes
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