A Quality Engineer is a professional who understands the principles of product and service quality, evaluation and control.

He looks after the management, development, operation & maintenance of I.T. systems as well as enterprise architecture to ensure a high standard of quality in the output.

Let’s take a quick look at how a quality engineering manages to raise the overall working and product quality:

Collaborative Process

• As I.T. services are highly interlinked and provided across different platforms, devices and organisations, Quality Engineering enables a smooth coming together of these different elements.

End-To-End Coverage

• Quality engineering brings methods and principles from Enterprise architecture management, software product management, I.T. service management, software/hardware engineering, information security and many other segments.
• This provides you with a comprehensive or ‘end to end’ view of the quality.

Collaborative Process

• As I.T. services are highly interlinked and provided across different platforms, devices and organisations, Quality Engineering enables a smooth coming together of these different elements.

Thoroughness With Constant Checking

• In order to identify and measure the quality features in a chosen context, quality engineering processes are carried out manually and even automatically.
• The objective of an efficient quality engineering process is the coordination of automated and manual quality assurance tasks. Code review or elicitation of quality objectives are examples of manual tasks, while regression tests and the collection of code metrics are examples for automatically performed tasks.

Manages Customer Quality Issues

• If a customer has any complaints or suggestions, a Quality Engineer takes the necessary corrective action.
• Hence, Quality Engineering plays a major when it comes to customer satisfaction.

Knowledge Management

• Knowledge management is an important aspect of Quality Engineering.
• The Quality Engineering knowledge base consists of structured as well as unstructured data that includes code repositories via requirements specifications, standards, test reports, enterprise architecture models to system configurations and runtime logs.
• This is done with the help of software and software system models
• This knowledge base is important for analysis finding information in order to support quality control tasks and also for audits or documentation.

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