The problem is that once we know something, we find it impossible to imagine the other party not knowing it. Extrapolating this experiment to software testing, most testers conduct a battery of tests that they feel is representative and that captures the set of end-user Auslogics BoostSpeed 9 scenarios for how the software would be used. The reality is far from this. Any expert tester would asset that it is impossible to capture the complete set of scenarios that an end user may throw at a software system. As a result, critical path(s) of the code under certain scenarios go untested, which leads to software malfunctioning, production system crashes, customer escalations, long hours of meetings, debugging, etc.
Crowd sourced testing circumvents all these headaches by bringing a comprehensive set of code coverage mechanisms and end user scenarios during the design and development stages of software engineering, during which the cost of modification is meager. This results in identifying critical use cases early on and providing for those contingencies, which reduces software maintenance costs later on during and after productive deployment. Besides progressive code coverage, the quality and depth of software testing among various vital software modules is achieved, which ultimately results in a higher code quality, among other benefits.
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