Success in ever more competitive worldwide marketplaces demands products and services that are increasingly personalized and innovative. These attributes can increase an organization's competitiveness and ability to provide value to customers, but at the same time they can compound the complexity of delivering such products and services to market.

While advanced functionality is an important competitive differentiator, quality has become part of the "price of entry" into the marketplace that can no longer be added into systems at the end of the development lifecycle. As a result, when managing quality, an organization must consider all key systems engineering disciplines including requirements engineering, systems design and testing, and change and configuration management. This article examines the changing role of quality assurance and looks at approaches that effectively extend application lifecycle management (ALM) to include quality management and align project outcomes with customer needs and business objectives.



Smarter products and the evolving role of quality assurance

In conventional product development, requirements analysis, design and development are typically completed first, with testing done in a silo -- at the end of the development process.

When products become more complex, not only can the risk of quality problems increase; the potential customer impact of those problems can be much greater. What's more, as you go from specifications through analysis, architecture, design and implementation, the cost of finding and fixing a problem grows. In the worst-case scenario, finding an issue in the field can be especially costly to the bottom line and the brand.

Today's innovative products frequently deliver their value through interoperation with systems which are external to the product and often external to the product development organization. Consider a smart phone, which might offer GPS capability and 3G web and voice connectivity. Developing the software for such distributed systems is a complex challenge. For example, compliance with interface standards and interoperability across system boundaries tends to increase the complexity of both projects and development organizations. Teams may be distributed across organizational and geographic boundaries, working across different time zones, languages and cultures. Organizational and infrastructure barriers arising from varying perspectives and approaches to development create challenges, impeding quality and slowing time to market.

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