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Quality Engineering

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.

Ensuring Quality from Agile Software Development

The term ‘Agile Software Development’ is easily misapprehended in nomenclature-obsessed days. Most of the development firms call themselves Agile as soon as they step into iterative development and deployments. Before we discuss any further, I believe it is important we take a step back and refer to the Manifesto for Agile Software Development and the values proclaimed by the 17 signatories.

Robotic Process Automation vs Traditional Test Automation

Robotic Process Automation (RPA) interacts with the existing IT infrastructure with the help of Artificial Intelligence and Machine Learning capabilities, to automate high volume, data-intensive, repetitive tasks, with minimal human intervention. It is used across industries to automate workflow and processes by enabling bots to interact with applications at the end-user’s device. In short, it is a series of commands executed by bots under pre-defined business rules.

Get Expert Advice on Solving Engineering Challenges

“Fast, good or cheap, pick two.” This is what the “Iron Triangle,” sometimes called the “Quality Triangle,” points out. In the software world, organizations are challenged with the choice of picking two from the Iron Triangle. But how do they solve this puzzle of picking the combination of best two from the Iron Triangle. The dilemma increases when choosing two of the above characteristics will create an opposing force to the third one.

Performance Test Automation - Why Does it Matter?

Quality Engineering is now being realized as a key driver in Business value generation and improving customer experience. As per Technavio’s Global Software Testing Services Market report, published in July 2018, the software testing industry will witness a significant growth during the period 2018-2022, with revenues reaching close to $68 billion by 2022. These numbers give a clear sense of the market potential and the rising importance of Quality Engineering within the IT Lifecycle.

Reimagining Test Automation in the age of Digital Transformation

In the digital age, applications are the primary mode of consumption for nearly all products and services and brand differentiation lies in providing seamless, omnichannel customer service experience. Organizations have already adopted lean and DevOps ways of development and they have to afford new approaches to test new ecosystem of complex, highly interconnected, APIs and cloud-driven applications. IT leaders cannot pick the two out of Speed, Quality and Cost. They need all three–Speed, Quality and Cost for creating all-inclusive digital journeys.

Automate Your Way to Success – The Power of All Things Automated

These days organizations are grabbing headlines about how fast they are evolving their businesses for radically changing customer behavior. Most of the times this evolution is software-driven. This draws the immediate attention even from businesses where core business is not software-driven to change their approach towards software deliveries.

Leveraging AI to automate QA and testing

The technology industry is stronger and dynamic than ever, thanks to Amazon, Uber, Facebook, Google. Price wars do not drive success for them but the convenience they bring for millions of lives. Software is driving organizational success with AI enhancing overall development practices. AI is the ‘not-so’ secret ingredient for smart software development practices.

Intelligent Automation – The Qentelli Way Towards Test Automation

Businesses have realized that seamless digital experiences are less of a choice and more of a necessity in the world of ‘being connected’ always. Businesses have already started using agile and DevOps methodologies to create omnichannel and seamless experiences for customers. This means that every single code or apps and software releases need to be rolled out immaculately coupled with billions of devices connected to the environment.