Ten Application Definition Best Practices

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The ubiquity of software project failures – with failure defined as projects that fundamentally failed to meet business-sponsor expectations, missed scheduled completion dates, or exceeded budget – is a pronounced theme in any number of independent research reports on custom software development. The Standish Group, for example, cited that only 31% of projects delivered 100 percent of the expected value, were on-time, and on-budget and a report from the Aberdeen Group found 90 percent of projects came in late, of which 30 percent were simply cancelled before delivery.

Analysts and users alike cite inaccurate, incomplete and mismanaged requirements as the number one reason for software project failure. The Standish Group’s annual CHAOS report indicates three of the top five reasons for project failure are related to requirements. Requirement miscommunications is also the primary factor behind the prevalence of rework, which according to industry statistics, can add up to 40 percent of the total development effort within a given software project. A 2005 survey conducted by iRise and Decipher found that almost three-quarters (73%) of organizations budget for rework, thus, in effect, planning for failure. Moreover, almost one-third set aside more than 25% in their budgets for these change orders, money that could be funneled directly into innovation rather than re-doing work that should have been com¬pleted the first time.

Ultimately, rework costs companies the ability to get to market quickly and saps competitive advantage; while companies are busy fixing applications, their competitors are busy capturing market share.

The solution to these costly, frustrating problems is the creation of accurate requirements before development even begins. By allowing the business analyst to col¬laborate with stakeholders, users, architects, user expe¬rience designers and developers early on in the development process, all parties are involved in the definition of the product and all parties know what will be built long before a single line of code is written.

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