Every day, many of the most common problems I see arise from code grounded on faulty assumptions. Assuming a certain precondition is met, say without regard to verifying the precondition's condition. Usually, supposing a type cast will pay off. Before dereferencing (“Object reference not set to an instance of an object...“) assuming, in terms of availability or accessibility, a limited supply, will always be non-null.
Typical issues with serialization include Some programmers, for example, think a buffer flush will occur during a stream closure event, however this is not always the case and generates rather poor output.
Quite common are also "off by one" errors. Many times, programmers overlook that computers count from zero.
Usually, the more complex projects I work on have plenty of threading issues. Sometimes a developer may toss a resource out from underneath the running of an other thread, forgetting that a particular function is operating within the framework of a multi-threaded environment.
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Usually developing code following the required "golden path" without addressing the various edge cases, developers might be determined to be the cause of most of the regular difficulties. Working with a competent QA team is thus fairly important. Unlike software developers, test engineers typically the best source for creating edge circumstances you would not have otherwise thought of and see applications from fresh views.
Answered 2 months ago
Anonymous
Every day, many of the most common problems I see arise from code grounded on faulty assumptions. Assuming a certain precondition is met, say without regard to verifying the precondition's condition. Usually, supposing a type cast will pay off. Before dereferencing (“Object reference not set to an instance of an object...“) assuming, in terms of availability or accessibility, a limited supply, will always be non-null.
Typical issues with serialization include Some programmers, for example, think a buffer flush will occur during a stream closure event, however this is not always the case and generates rather poor output.
Quite common are also "off by one" errors. Many times, programmers overlook that computers count from zero.
Usually, the more complex projects I work on have plenty of threading issues. Sometimes a developer may toss a resource out from underneath the running of an other thread, forgetting that a particular function is operating within the framework of a multi-threaded environment.
Read Also : Can I Start My Own Business As A Software Engineer?
Usually developing code following the required "golden path" without addressing the various edge cases, developers might be determined to be the cause of most of the regular difficulties. Working with a competent QA team is thus fairly important. Unlike software developers, test engineers typically the best source for creating edge circumstances you would not have otherwise thought of and see applications from fresh views.