Hello, my name is Sli, working as a Senior principal software engineer at Dell Technologies. Today we are discussing about the evaluation of test orchestration in ERP system. This presentation will guide you through the evaluation challenges and future of test orchestration frameworks that are ever revolutionizing the quality assurance in ERP implementations. As we. I explored this critical technology. We will uncover how organizations, can achieve faster delivery cycles, improve test coverage, and significant cost savings while maintaining the highest quality standards in their ERP systems. Let us talk some key numbers here. ERP market is expected to reach $78 billion by 2029. And, that is up from $50 billion in 2024, almost 50% growth and 75% of ERP projects face implementation delays with 40% of these release are due to testing bottlenecks. So what are the main reason growing complexity of ERP systems integration challenges. And testing requirements. ERP systems has complexity due to integrating the functions like finance, hr, inventory, supply chain operations, and some in-house applications. So traditional testing is not sufficient for growing complex ERP systems. Traditional testing methods often fall short for modern ERP deployments, leading to missed deadlines, reduce quality and budget overruns stress, the urgent need for organizations to transform their testing strategies. So let us understand the test orchestration. So test coordination. We have to closely work with the CPLs across all modules, integration management, and workflow automation. So I will provide you one good example in these both topics, like in suppose in our ERP systems has the 2230 different modules. Each module has the multiple test teams. Every team manages their own. Style of automation testing framework and automation testing strategies and everything is at their own way. and, they have their own docker to run execute, or the grid to run the, their automation scripts orchestration team has to work with the business transformation team and CPL teams. Get the all the end to end scenario requirements, and then we have to orchestrate their automation test scripts. each module test automation scripts, we have to orchestrate it. So based on that, the requirements provided by the CPLs and Business Transformation team, It'll be, and we will maintain our own centralized test database and the every module will be connected with the centralized database. And after the execution of the data automation test script, automatically critically puts the results into the our centralized database. So suppose first module will be execution. He's completed and goes to the second. Module and the execution starts based on the first execution result because both are connected to the our centralized database. So that is how it'll be seamlessly. It'll be connected to the one module, to another module. That is how this test start castration. So how it'll work a little bit more. We will discuss in the orchestration architecture place. So here we have the, like a orchestration engine that is a command central. Like you can centralize your command, you can think like that orchestration engine. So here, this orchestration engine will have the control, all the GitLab pipelines and the, it'll be triggered the each pipeline and. And it'll be connected automatically with the centralized database and put the date, statuses of the each work workflow results. and it'll be integrated with the integration layer. What is the integration layer? It has the, all the GI guitar pipelines, information, and the tested data information. Each and every data will be stored into the integration layer. So what is the test execution framework? So each module maintains their own test execution so that, we don't need to worry about the, what are the individual team maintains the what type of framework, so it'll be fine, whatever the framework. They maintenance so they maintain their bone tested data. Everything will be, that is. and the environment management. So here the, in the orchestration layer when you implement the environment management as well, because in the traditional ERP applications, we will see the environment management by the. Separate team and it has the lot of, challenges also at the same time because when they are copying that data from the production to sit our sitar, the dev environments, we'll miss a lot of data and validation missing. So there are so many challenges we will face it. and the, what are the re what are the conditions required for the, our envi environment, like a, validation rules? Those are all the things we are going to miss it. So if it's a part of the orchestration layer, we don't miss that part. And the reporting analytics, we are maintaining our own decentralized database, so it'll be good for the generating the reports on our every requirement. so orchestration, that's how it be, the orchestration architecture. So let us discuss about the, some performance metrics and benefits. So environment set up time reduced by the 85 by percent because we are maintaining the, everything is the automated way, so that is the reason it'll be reduced, will be hugely. And the test execution time will be reduced by the 70% of time. Because the way of maintaining the test execution will be there from the beginning to end, and it'll be you, I know it'll be, the implementation is a little tough, but at the same time, once the implementation is done, it'll be, the continuous usage is there. Very huge here. And the business benefits faster. EERP implementation cycles better release quality, fewer defect, making it to production and substantial savings through optimized resource use. So artificial intelligence in the test orchestration. So where we can utilize the artificial intelligence many places. But here I will cover the four important places intelligent test planning. So yay identifies the critical test parts based on the user stories and the regression defects. If you integrated with the your own model with Uber, JIRA, or Uber test management tool, and it'll. Based on the fine tuning of the ever model, it'll be created for you. Very intelligent test planning. and the second part is the automated test generation. So you have your code repository and, the, All the methods and the utilities, every will, everything will be there all already in a base, right? So you can create your own model and it'll be generated the automatically based on the requirements. So end-to-end profile requirements or the internal requirements, model requirements based on that one, it'll be generated the automatically test generation. So the third part is the predictive analysis based on the new code introduction. In the GitLab code report, it'll forecast the failure pins and generate the new automation scripts, self-healing, the execution. So what is the self-healing execution? If any scripts fails based on the error, it'll fix the automation script automatically and generate the automation test script so that almost 40% of the manual intervention will be reduced. so we can implement our own machine learning models in these four steps and reduce the manual dependencies. Let us talk about the cloud native orchestration solutions. the major is the scalability, cloud-based orchestration, to handle over 1 million test requests per second and intelligently allocates the resources based on the requirements. So availability. Enterprise grade 99 point 99%. Availability offered by advanced distributed cloud architecture so that across global teams can execute test scripts without any interruptions. Cost efficiency, flexible pay as you go. Models that achieve 32 40% cost savings compared to traditional on-premise solutions. Business impact of test orchestration, accelerated. Time to market, 75% faster delivery. Sorry. So business impact of test orchestration, so accelerated time to market, 74% faster delivery of new features and updates to end users. Enhanced quality, 65% of the reduction in production defects leading to better user experience and streamlined operations. Improved change management. 90% of improvement in change management efficiency, cost optimization. Substantial annual savings through optimized resource use and improved financial performance. So implementation, best practices, always the We do, whenever we start the new projects, we will do small POCs and the vendor success will come. Then we will go further bigger, the same way. I mean start small and scale fast. Targeted pilot launch, begin with your focused pilot and a critical ERP model before expanding. This methodical approach helps build the team's expertise in orchestration techniques while delivering. Immediate measurable value rapid scaling. Successful organizations typically evolve from pilot to enterprise wide implementation three to within three to six months, ensuring a smooth and efficient transition. And what are the standardized test sets? Test sets establish unified testing frameworks, precise naming conventions, and comprehensive documentation standards. Across all ERP components are the modules, and, standardization enhances asset reusability by up to 60% streamlines maintenance workflows, and it dramatically reduces onboarding time for new team members. and the continuous optimization, structured review cycles like a institute structured, review cycles to evaluate orchestration performance metrics and uncover efficiency opportunities. Resource allocation, like a high performer, organizations like allocate 10 to 15% of testing resources to optimize initiatives. Generating three to five XRYA through reduce execution times and improve. So how to implement, technical design considerations further, orchestration layer, like a EA first architecture, engineer your orchestration platform with comprehensive APAs that facilitate frictionless integration with your ERP. Ecosystem implement, well-documented, restful a PS with robust authentication protocols and consistent response structures to ensure adaptability as testing requirements evolve and expand the another main technical problem. We will face it when we are developing any product security integration, so embed systematic security validation within our orchestration framework. Including automated, vulnerable vulnerability detection and regulatory complaints. Verification. Emphasize the need for continuous security assessment through the entire development, and testing pipeline to safeguard critical business assets in ERP environments. The another one challenge is that test data management deploy sophisticated data provisioning mechanisms that dynamically generate and maintain and refresh contextually appropriate data sets for diverse testing scenarios. I live the importance of strategic data management for accurately simulating the complex transactional workflows that. Characterize modern ERP systems. So let us go to the features of ERP test orchestration. So in from 2024 to 2025, so the mainstream adoption of sophisticated air power test, auto optimization, and dynamic test generation capabilities. Advanced machine learning algorithms will analyze test results in real time, continuously refining the test coverage and precision without requiring manual interventions. So from the 2025 to 2027, I'm expecting the predictive pa, like what is that? predictive PA transformation. From reactive to predictive quality assurance methodologies, intelligent orchestration systems will anticipate potential defects before code implementation so that even the scope declared, when the scope is defined, only you can. Based on that one, only you can define the Uber, test automation scripts, everything, so that it'll be 50% will be reduced by that time. So from the 2027 to 2029, autonomous testing, what is the meaning of autonomous? The evaluation toward fully autonomous testing, ecosystem capable of self configuration, self-op optimization, and self-healing operations. How human Q professionals will evolve into strategic quality consultants focusing primarily on business value alignment rather than manual test execution. This is end of my presentation. If you would like to, have a discussion, our working session on this topic, I would like to have a conversation. Please reach out to me. I would like to extend my heartfelt thanks to the Con two organization for putting together such a fantastic event, a special thank you to our sponsors for their generous support and to all the attendees for being here and the contributing to the success of this conference. Thank you all.