Industry → Healthtech
Quality Healthcare
Solutions | Delivered
IGS provides end-to-end testing solutions for healthcare organizations and helps them deliver world-class quality medical care by improving IT infrastructure, service quality, monetizing data and accelerating digital adaptation while ensuring compliance with security protocols and healthcare regulations.
HOW WE CAN HELP YOU
Your go-to care partner
With years of experience and in-depth industry knowledge, IGS is your go-to quality partner to excel in meeting demands for interoperability and software compliance.
Helps healthcare organizations clear FDA audits
Achieve HIPAA compliance and enable 50% growth in customer base
Minimize system outrage risks by automated server monitoring
Effective verification and validation cycles
Lower regression efforts by 30% Reduce delivery time by 25%Helping you provide the Best Healthcare Experience
Hassle-free transition to enterprise applications
As healthcare continues its much-needed transition to enterprise applications, it is also exposed to serious security threats and constant pressure to maintain the highest quality.
Eliminate usability errors
Even a single input error poses a potential threat of misinformation on a medical report. Our advanced usability protocol proactively protects you from such mishaps.
Secure patient data
Average HIPAA fine as of 2019 was $1.5 million. We will ensure data security with proactive risk management approach and keep you compliant with HIPAA compliance to avoid fines and legal consequences.
Improve ROI
Our efficient testing solutions help you cut down your in-house testing costs and boost operational efficiency while increasing ROI.
Our Solutions
Patient First | Experience Best
Our solutions are powered by cutting-edge technology, but we carefully consider how humans will interact with the software. You can rely on us to make ever healthcare transaction more secure, simpler and user-friendly. Through DevOps and advanced automation, We help our customers accelerate their digital transformation.
Healthcare Device Integration
It offers you a complete test suite that can be modified and reused for any healthcare device integration testing.
Unified Testing
Our Unified testing solution is an end-to-end QA solution with a 3-phase approach: Plan, Build and Run, involving various steps in each phase. The QA Shift Left approach covers all platforms in scope and addresses performance gaps early in SDLC to reduce fixing costs and risk of potential defects.
Load & Performance Testing
Integration of performance engineering into your CI/CD pipeline helps identify system bottlenecks in the early development phases. It enables your systems to perform efficiently at peak loads.
GXP Protocol Matrix
A secure healthcare application is the most used. Our GXP protocol matrix helps map each phase in SDLC with minute details to the corresponding qualifications under GxP – DQ, IQ, OQ, PQ, MQ.
Digital Assurance Lab
It provides you with the infrastructure and inventory to perform mobile testing efficiently with different Android and iOS versions across OEMs
Unified Test Automation Solution
Our healthcare automation solution supports both frontend UI (Web & Mobile) and backend API automation in a single framework and helps healthcare businesses reduce maintenance costs by 15% year on year
Top Insights
Discover how you can embrace innovation to drive new value for your organization. Explore new
insights. See tangible outcomes.
insights. See tangible outcomes.
With the widespread exposure, experimentation, and acceptance of artificial intelligence and machine learning in the digital realm of information technology, the fast-paced world of software development has now been updated and upgraded to hyper-speeds of development. As a result of this, Quality Engineering in software testing is more crucial than ever. As we edge closer to 2025, the landscape of quality engineering tools continues to evolve, offering new capabilities to enhance software reliability, efficiency, and overall quality. This blog explores the top tools that are set to shape quality engineering practices in the coming year.
The Role of Quality Engineering Tools
Quality engineering tools play a pivotal role in embedding quality throughout the software development lifecycle. These tools facilitate various processes, such as automated testing, code analysis, and performance monitoring, ensuring that software products meet high standards of excellence. By leveraging these tools along with employing Shift-Left approach in the STLC, organizations can streamline their workflows, reduce time-to-market, and deliver superior software solutions.
Key Features to Look for in Quality Engineering Tools
Automation Capabilities
Automation is crucial for reducing manual testing efforts and increasing efficiency. Tools with robust automation capabilities allow teams to execute repetitive tasks quickly, freeing up resources for learning & more complex problem-solving opportunities. For example, Selenium automates web application testing across multiple browsers, improving efficiency and helping identify & reduce errors.
Integration with CI/CD Pipelines
Integration with CI/CD pipelines ensures that quality checks are embedded seamlessly throughout the development lifecycle. A tool like Jenkins, for instance, enables continuous integration and delivery, allowing teams to release software updates quickly and reliably with minimal intervention.
AI and Machine Learning
Advanced tools leverage AI and ML to provide predictive analytics and generate automation scripts for complex test scenarios. This capability helps capture potential defects early in the test cycle, improving test coverage and accuracy. Tools like SonarQube use AI-driven static code analysis to ensure high quality of codes.
Scalability
Tools that can scale and adapt to the growing complexity of software projects and requirements. Cloud-based solutions like LambdaTest offer scalable resources for cross-browser & cross-platform testing, ensuring applications work seamlessly across various platforms without requiring a physical lab or set up.
User-Friendly Interface
An intuitive, simple and user-friendly interface enhances usability and reduces the learning curve for team members. Tools similar to TestRail provide a straightforward interface for managing test cases, tracking executions and results, which improves collaboration and productivity.
Top Quality Engineering Tools for 2024
1. Selenium
Selenium remains a top choice for web application automation. Because of its open-source nature and extensive support for multiple browsers, it has proven to be a versatile tool for regression and functional testing. Selenium’s integration with various programming languages allows for the creation of test scripts in the language we prefer.
2. JIRA
The world-wide accepted JIRA is a powerful project management tool predominantly used in quality engineering services for tracking issues and managing test cases. Its robust features support agile methodologies enabling teams in Sprint Planning, Progress Tracking, and Effective Collaboration. We can further enhance JIRA’s utility with its ability to comfortably integrate with other tools like Confluence and Bitbucket.
3. Jenkins
Jenkins, which is an open-source automation server, helps set up continuous integration and continuous delivery (CI/CD). It helps automate build creation, testing, and application deployment, ensuring seamless integration of any code changes that are made/committed into the main branch. Jenkins’ vast library of plugins allows customization to suit specific project requirements.
4. TestRail
TestRail is a comprehensive test management tool that helps teams in the structured organization of test cases, plan and execute test cases and track the results. Its intuitive interface helps simplify the test management processes, while its integration capabilities with JIRA and other tools have proven to streamline workflows. The graphical reporting features of TestRail provide valuable insights into various test metrics like coverage, module health, no. of test cases passed/failed etc.
5. Postman
Postman, a popular tool for API testing, offers a user-friendly interface for designing, executing, and automating API tests. It supports numerous request types and provides features that aid detailed response validation. Postman’s collaboration capabilities enable teams to share test collections and maintain consistency across projects.
6. SonarQube
Continuous code quality inspection is achieved via SonarQube, an open-source platform. It performs static code analysis to detect bugs, vulnerabilities, and code stability across multiple programming languages. SonarQube’s integration with CI/CD pipelines ensures that code quality is maintained throughout the development lifecycle and that any discrepancies/anomalies are identified and notified to the developer.
7. Appium
Appium is an open-source tool designed to automate mobile application testing on mobile platforms, especially iOS and Android operating systems. It supports multiple programming languages and integrates seamlessly with existing frameworks like Selenium WebDriver. The cross-platform capabilities of Appium make it ideal for testing mobile applications across different devices with varying OS versions, Form Factors and Display Sizes/Resolutions.
8. LoadRunner
LoadRunner, a Micro Focus product, is a leading performance testing tool with which we can simulate real-world user loads to assess and evaluate application performance under stress. It supports a wide range of protocols and provides detailed analytics to identify bottlenecks and optimize system performance.
How These Tools Enhance Product Quality
The adoption of these top-quality engineering tools in 2024 has significantly helped enhance product quality for our clients by:
Increasing Testing Efficiency:
Automation capabilities help reduce manual effort, allowing teams to focus on more strategic tasks and training programs for skill development.
Improving Code Quality:
With Continuous code inspection by using tools like SonarQube has helped us work with the Developer teams to maintain high standards of code by identifying potential and anomalies issues in early stages of development.
Enhancing Collaboration:
Effective usage of tools like JIRA facilitate seamless and continuous communication between team members, efficient tracking of tasks/stories ensuring that the entire team is aligned on project goals and it’s progress.
Optimizing App Performance:
Performance testing tools such as LoadRunner help provide insights into system behavior under varying loads, enabling teams to optimize performance before deployment.
Tool Name
Real-World Use Case
Plausible OutcomeSelenium
A typical example for effective utilization of Selenium in various industries is its role in automating repetitive browser-based tasks.
The expected outcome from using Selenium in jobs involving web automation includes increased productivity, fewer manual errors, and time savings.JIRA
Teams utilize JIRA for effective project management, especially in agile workflows, to track issues, manage projects, and streamline collaboration.
By implementing JIRA, teams achieve improved project transparency, faster issue resolution, and enhanced collaboration within cross-functional teams.Jenkins
A Travel company implemented Jenkins to manage CI/CD pipelines, helping to automate code deployment and integration with various tools.
Increased software deployment speed, improved consistency in software releases, and reduced human intervention in deployment processes.TestRail
TestRail is used to execute extensive test runs and document results, making it invaluable in quality assurance processes across industries.
Using TestRail leads to increased productivity, better test coverage, and streamlined test management.Postman
Our Quality engineering Company assisted our client in API testing by integrating Postman into their workflow, enhancing API validation and debugging.
Improvements in productivity, faster onboarding of new developers, and enhanced API reliability.Foreseeing Trends in Quality Engineering Tools for 2025
As we inch towards 2025, several tech trends are expected to shape the future of quality engineering tools:
AI-Powered Testing
AI-powered testing tools are picking pace owing to the ability to automate complex test scenarios and provide predictive insights into potential issues. These tools help optimize test coverage and accuracy by leveraging machine learning alogrithms.
Cloud-Based Testing Solutions
Cloud-based testing tools & solutions offer scalable resources that can be modified to specific project requirements. They enable distributed teams to effectively collaborate while reducing infrastructure & maintenance costs associated with traditional on-prem workspaces and setups.
Scriptless Automation Tools
Test automation is made simple and easy to a certain extent with the utilization of Scriptless Automation tools which allows testers without extensive coding knowledge to generate automated tests. These tools use visual interfaces or natural language processing (NLP) to simplify test creation processes.
Conclusion
Quality Engineering is evolving everyday in Software Testing space, thanks to the advancements in technology and every changing/increasing industry demands and end user requirements for new and better things every day. By adopting to the right tools and adapting to the technologies around them, one can enhance software development processes, enrich product quality, and deliver exceptional user experiences.
Irrespective of whether your focus is on automation, performance optimization, seamless integration with CI/CD pipelines, effective usage of these top-notch quality engineering tools help you achieve your goals in providing unmatched experience to your customers.
FAQs1. How do AI-powered testing tools improve software quality?
a. AI-powered testing tools help automate complex scenarios and provide predictive insights into potential defects, analyze causes, optimize test coverage, and improve accuracy.
2. What are the benefits of cloud-based testing solutions?
a. Cloud-based solutions offer scalable resources tailored to project requirements while reducing infrastructure costs associated with traditional setups.
3. Why are scriptless automation tools gaining popularity?
a. Scriptless automation tools allow test engineers without coding knowledge to create automated tests using visual interfaces or natural language processing.
4. How does SonarQube contribute to maintaining code quality?
a. SonarQube performs static code analysis to detect bugs, vulnerabilities, and code smells across multiple languages, ensuring consistent code quality throughout development. [...]Read more...
As we transition from Quality Assurance to Quality Engineering in the ever-evolving digital world, the evolution of quality Engineering in software testing has started creating benchmarks for delivering reliable and efficient software products. With advancements in technology, software testing approach has come a long way in terms of applying the new learnings into the Tools used, Best Practices employed resulting in providing the best solutions to the stakeholders/clients/customers.
This guide explores the essential practices, trends, and technologies that define quality engineering today, providing a comprehensive understanding of its role in modern software development and the success of a digital product in the competitive world.
What is Software Quality Engineering?
Software Quality Engineering (SQE) is an approach that integrates quality into every phase of the software development lifecycle. Unlike traditional quality assurance, which often focuses on testing at the end stages (ex: Waterfall model), SQE aims to prevent defects from occurring by embedding quality practices throughout the development process as early as the Requirement Planning & Design phase.
The primary goals of SQE include enhancing software reliability, reducing time to market, and improving user satisfaction. It is applicable across all stages of development, from initial design to final deployment and post-deployment.
The Distinction: Quality Engineering vs. Quality Assurance
Quality engineering and quality assurance play distinct roles within software development. While quality engineering focuses on integrating quality throughout the development process, quality assurance emphasises evaluating the final product against predefined standards/requirements. The methods used in quality engineering are proactive, aiming to prevent defects, whereas quality assurance is more reactive, identifying defects post-development. Quality Engineering aids and allows changes during any phase of the development. Quality Assurance gives us less flexibility in addressing change requests post-initiation of development.
Software Quality Engineering Practices
Imbibing Artificial Intelligence into testing
AI-driven testing is revolutionising quality engineering in software testing by automating complex processes and enhancing predictive capabilities. AI tools can analyze huge datasets to identify patterns, predict potential defects, and automate repetitive tasks. This approach acts as a catalyst by accelerating the testing process while increasing accuracy and efficiency.
Continuous Integration and Continuous Deployment (CI/CD)
CI/CD pipelines are an integral part of new-age software development, ensuring automated testing and integration of the new/changed code in the Main branch efficiently. By including automated testing within these pipelines, quality is ensured and maintained throughout the development lifecycle, allowing for rapid iterations and immediate feedback.
Shift-Left Testing
Shift-left testing involves initiating testing activities earlier in the development process. Adopting shift left testing principles helps identify defects at an early stage, reducing the cost and time associated with fixing issues later. By integrating testing into the initial phases of development, teams can ensure higher quality from the outset. This helps build robust and stable applications with minimal downtime and quicker releases.
DevOps Integration
The marriage of DevOps practices with Quality Engineering fosters collaboration between development & operations teams helping produce the best output. This synergy enhances agility and responsiveness, ensuring that quality is a shared responsibility across all stages of development and every member is a stakeholder and equally accountable. Continuous monitoring and feedback loops further improve software reliability by allowing improvements/optimization quickly at any stage.
Functional Testing
Functional testing is a critical component of quality engineering in the software testing process. It ensures that each component/function of the software performs according to the provided requirements/specifications. This kind of testing involves checking user interfaces (UI), APIs, databases and how all these layers function together. Understanding the distinction between functional vs non-functional testing is essential, as the former focuses on validating the core functionality, while the latter assesses performance, usability, and other non-functional aspects.Functional testing can be divided into several types:Unit Testing: Focuses on individual components or units of code to ensure they work as intended. Generally performed by the Developer itself, however, can be done by a knowledgeable QA.
Integration Testing: When all Units are working as intended, next we verify different modules or services used by your application work well together.
System Testing: Upon successful integration checks, the process moves on to evaluate the complete system’s compliance with the specified requirements.
User Acceptance Testing (UAT): The application, once Functional QA Certified, undergoes checks to determine if the system satisfies the business needs and is ready for deployment.Best practices for functional testing include selecting strategic test cases for automation, implementing data-driven tests, and adapting to UI changes efficiently.
Peer Review
Peer review is a collaborative approach where team members evaluate each other’s work internally to identify defects early. This practice helps enhance code quality and promotes knowledge sharing. Effective peer reviews involve structured processes and open communication, focusing on requirement understanding, user flow and app design flow, test scenario creation/test case creation, defect reporting, test executions.
These foster the development of a balance between formal processes and a collaborative environment.
Software Testing Trends in Quality Engineering
As we look towards the future, several key trends are emerging in software testing within the world of quality engineering and are being widely adopted and adapted to:
AI and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) tech are becoming essential tools in quality engineering. These technologies enable predictive analytics, allowing teams to foresee potential issues before they occur. ML algorithms can continuously learn from test execution results and reports, optimizing test cases and improving precision over time helping the cause of quick and less buggy releases.
Analytics
Data analytics helps provide deep insights into user behavior and system performance by analyzing large datasets. This vital component in Quality Engineering helps identify trends, anomalies, and key areas for improvement, leading to more informed decision-making. Big data testing ensures data accuracy and compliance with regulations, thus enhancing overall product quality and performance.
Cloud-Based Testing
Cloud-based testing has been transforming test environment management by offering scalable resources tailored to specific requirements. This flexibility allows for efficient resource utilization and faster & efficient test executions. Cloud platforms allow for collaboration among distributed teams, making it easier to manage large-scale applications with ever-changing demands.
Security-First Approach
Integrating security testing throughout the development lifecycle helps identify vulnerabilities early. This proactive strategy involves using automated tools to maintain robust defences against potential attacks. Focusing on security from the outset ensures any defects/anomalies are nipped in the bud and that the application not only functions according to the requirement in an intended manner, but also protects user data effectively.
Scriptless Automation
Scriptless test automation tools are the buzzwords today, gaining a lot of popularity as they allow testers to create automated tests without the need for extensive programming knowledge. This is a huge change in the automation world, making it accessible to a broader spectrum of test engineers and increasing the overall testing efficiency of the individual as well as the team.
Conclusion
Quality engineering in software testing plays a critical role in modern software development by embedding quality at every stage of the lifecycle. By adopting practices like AI-driven testing, CI/CD pipelines, shift-left testing, and DevOps integration, organizations can significantly improve their software’s reliability and efficiency. Keeping up with the pace of emerging trends, such as AI integration and continuous testing, will further enhance these efforts to make exceptional products and services.
Integrating quality engineering into your processes not only boosts product quality but also accelerates time-to-market and increases customer satisfaction.
Frequently Asked Questions
1. How can Quality Engineering improve software reliability?
By embedding quality throughout development, potential issues are identified early, reducing defects and improving reliability.
2. What is the role of a QA engineer in software testing?
QA engineers focus on ensuring that software meets established standards through rigorous testing and validation processes.
3. What are the future trends in Quality Engineering for software testing?
Trends include AI-driven automation, shift-left testing strategies, cloud-based solutions, and continuous integration practices.
4. Can Quality Engineering be applied to all types of software development?
Yes, it can be applied across various domains to enhance product quality and performance. By understanding these practices and trends within quality engineering in software testing, organizations can elevate their digital applications to meet high standards of reliability and performance in an increasingly competitive market [...]Read more...
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