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Why Is Estimating Software Testing Time So Difficult? Management loves to ask testers to estimate how long their efforts will take. But so many important factors elude measurement that it makes it difficult to predict. If you need to explain why estimation is so tough, here are nine factors that significantly influence our ability to estimate testing time. |
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Improve Your Software Organization’s Processes: Focus on the Right Thing While processes may seem like overhead, you need defined, documented procedures to avoid problems. It's when processes exist just because "we've always done it that way" that they become a problem. Keep processes useful by asking questions and constantly verifying that the purpose behind them is relevant. |
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Here There Be Monsters: The Value of Data Profiling Monsters appeared on medieval maps to identify the unknown dangers of the sea. Likewise, the data profiles for an organization identify the points within its data. A robust data-profiling strategy can provide a more accurate picture of an organization’s data systems and find risks before they become monsters. |
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Getting Your Data to Work for You Practically everyone records data somehow. The real value comes from using that data to gain deeper insight. When used appropriately, data profiling can be a powerful tool for analyzing existing data, profiling for planned changes, or monitoring for unplanned circumstances, helping save time and remove risks. |
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Creating Effective Processes to Deliver Quality Software Delivering complex systems depends on software processes that guide the work on a daily basis. Much has been written about the evils of verbose waterfall processes, but the truth is that not having enough process also makes it impossible to deliver enterprise software without making many mistakes. |
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Fine-Tuning and Expanding Your Mobile Test Plan When new technology is introduced, QA teams usually have a period of scrambling to figure out how to support engineering efforts. Melissa Tondi identifies some key mobile challenges and talks about creating solutions to address them. The result: an efficient mobile test plan and minimal impact to the QA team. |
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Testing Big Data in the Retail Marketplace The concept of data as a tool for retailers is not a new one. But the volume of that data is greater than ever. Testing big data is essential because the collected information only becomes an asset when it is analyzed and processed in a way that makes it useful to retailers, which in turn engages consumers. |
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Pick a Chicken: How to Prioritize and Get More Done A project manager was having trouble with his list of projects, all of which were behind schedule. They were all vitally important, so he was in a state of thrash with too many options to choose from. Luckily, Payson Hall was able to help him—thanks to his childhood experiences chasing chickens on a farm. |
