The goal of Quality Engineering is to ensure that the software you build satisfies the needs and expectations of your customers and stakeholders. It involves several methods, tools, and tactics to prevent errors and enhance overall software quality. This comprises critical steps such as requirements analysis, software design, and development, testing, and maintenance. The objective is to design software that is dependable, simple to use, safe, and efficient, and that truly meets the needs of end users. To do this, Quality Engineers collaborate closely with developers, product managers, and other key stakeholders throughout the software development process to ensure that the final product is of the highest quality and achieves all business objectives.
Capgemini's analysis on Quality Engineering, (World Quality Report 2022-23) 72% of organizations think Quality Engineering can contribute to the environmental aspect of sustainability and highlights 85% of organizations consider Quality Engineering to be pivotal in the implementation of emerging technologies into real-world use cases.
By discovering and correcting flaws before they reach the end user, Quality Engineering helps to lower the expense of poor quality. This saves money on warranty claims, recalls, and other expenditures involved with resolving defects after the product is released. Additionally, Quality Engineering gives firms a competitive edge by proving quality and delivering products that satisfy consumer expectations. This helps the company stand out from its competition.
Adopting high-quality engineering may help a business in many ways, such as:
- Greater customer satisfaction: Good engineering processes assist to make sure that goods and services fulfill the needs and requirements of customers.
- Enhanced efficiency: Quality engineering helps to reduce defect rates and streamline processes, which results in heightened production and efficiency. Defects are found and fixed early in the development process.
- Improved risk management: QE assists in identifying and mitigating possible hazards before they develop into major issues, lowering the possibility of expensive failures or downtime.
- Lower expenses: By identifying and repairing errors early in the development process, quality engineering may assist to lower costs, which can be up to 100 times more expensive when problems need to be fixed.
Governance policies are the anchor of the ship, guiding, charting the course, making course corrections, and ensuring you are on the right path. The policies, procedures, and practices of IT governance are the safety net of any organization and they also help in compliance with relevant regulations and standards. It should be a representation of your organization’s vision and mission, aligning with your business objectives.
It's a common misconception that performance testing with Docker is a lengthy and tiring process. If I asked you to set up JMeter for performance testing on one virtual machine (VM), how long would it take you? And if you needed to set up the same on multiple virtual machines, how much longer would it take? It's widely agreed that this task is tedious and time-consuming.
How well do you know your IT Architecture - Let me put it in a different way. How confident are you that your IT Architecture is helping you to stay competitive, streamline operations, and improve bottom line?
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The World Quality Report 2021-22 is out, offering key insights on the latest Quality Assurance and Testing trends. These trends are – QA Orchestration in Agile and DevOps, Test Automation, Artificial Intelligence (AI) and Machine Learning (ML), Test Environment Management and Test Data Management, and Intelligent Industry.
Software development is unavoidable for any industry as it helps companies to achieve that extra edge in service delivery. This guide to software development will help executives stay aware of industry best practices. Knowing them would allow executives to effectively communicate their vision with the software team and assist them with progress monitoring.
A C-level professional appreciating the software development process will allow a business to swiftly react to exiting issues, market changes, and reach out to a wider audience.
As I started writing this piece, I talked to Software Engineers and DevTestOps team members with varied years of experience in the industry. This gave rise to two schools of thought for what to measure in Quality Engineering and which model fits the bill. The first school stresses collecting every data possible and then analyze for the correlation while the second talks about collecting only relevant software engineering metrics.
Contract testing has been around the same time as that of microservices, and there is a link between them. Microservices architecture with its distributed nature follows contract testing as its crucial testing step. In recent years microservices has gained popularity and hence contract testing is also gaining popularity.
Most development teams today use some flavor of DevOps to accelerate their delivery of value to the business. In this “Need for Speed”, architectural paradigms for areas like Application Performance don’t get the importance they deserve.
Performance gets relegated to the Testing team – with some load testing done before release, and then some band-aids applied to improve performance. In the long run, Architectural flaws and wrong design decisions can cause significant impact application support, operations, customers and ultimately the business.
We recently talked about how Test Automation and Robotic Process Automation are not the same though they both are record and playback mechanisms. We also mentioned if automation meets with Artificial Intelligence it aids businesses to go beyond conventional performance trade-offs to achieve extraordinary levels of efficiency and quality. This article is to build on top of that notion and discuss how Intelligent Automation can optimize Quality Engineering practices, especially Application Testing practices.