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A software bug is a bug in computer software . A computer program with many or serious bugs may be described as buggy. The effects of a software bug range from minor (such as a misspelled word in the user interface) to severe (such as frequent crashing ). Software bugs have been linked to disasters.
Software development. In engineering, debugging is the process of finding the root cause of and workarounds and possible fixes for bugs . For software, debugging tactics can involve interactive debugging, control flow analysis, log file analysis, monitoring at the application or system level, memory dumps, and profiling.
A "Hello, World!" program is generally a simple computer program which emits (or displays) to the screen (often the console) a message similar to "Hello, World!" while ignoring any user input. A small piece of code in most general-purpose programming languages, this program is used to illustrate a language's basic syntax.
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Fuzzing. In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. The program is then monitored for exceptions such as crashes, failing built-in code assertions, or potential memory leaks.
FindBugs. FindBugs is an open-source static code analyser created by Bill Pugh and David Hovemeyer which detects possible bugs in Java programs. [2] [3] Potential errors are classified in four ranks: (i) scariest, (ii) scary, (iii) troubling and (iv) of concern. This is a hint to the developer about their possible impact or severity. [4]
Exception handling. In computing and computer programming, exception handling is the process of responding to the occurrence of exceptions – anomalous or exceptional conditions requiring special processing – during the execution of a program. In general, an exception breaks the normal flow of execution and executes a pre-registered ...
In computing, reactive programming is a declarative programming paradigm concerned with data streams and the propagation of change. With this paradigm, it is possible to express static (e.g., arrays) or dynamic (e.g., event emitters) data streams with ease, and also communicate that an inferred dependency within the associated execution model exists, which facilitates the automatic propagation ...