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A software development methodology is a framework that is used to structure, plan, and control the life cycle of a software product. Common methodologies include waterfall, prototyping, iterative and incremental development, spiral development, agile software development, rapid application development, and extreme programming.
All loops must have fixed bounds. This prevents runaway code. Avoid heap memory allocation. Restrict functions to a single printed page. Use a minimum of two runtime assertions per function. Restrict the scope of data to the smallest possible. Check the return value of all non-void functions, or cast to void to indicate the return value is useless.
Mock objects differ in that they themselves contain test assertions that can make the test fail, for example, if the person's name and other data are not as expected. Fake and mock object methods that return data, ostensibly from a data store or user, can help the test process by always returning the same, realistic data that tests can rely upon.
A dry run (or practice run) is a software testing process used to make sure that a system works correctly and will not result in severe failure. [1] For example, rsync, a utility for transferring and synchronizing data between networked computers or storage drives, has a "dry-run" option users can use to check that their command-line arguments are valid and to simulate what would happen when ...
Accumulated data from previous projects is used to estimate the total time. Each new project will record the actual time spent. This information is used for task and schedule planning and estimation (PSP1.1). PSP2, PSP2.1 (Introduces quality management and design) PSP2 adds two new phases: design review and code review.
Mock objects have the same interface as the real objects they mimic, allowing a client object to remain unaware of whether it is using a real object or a mock object. Many available mock object frameworks allow the programmer to specify which methods will be invoked on a mock object, in what order, what parameters will be passed to them, and what values will be returned.
In software project management, software testing, and software engineering, verification and validation is the process of checking that a software engineer system meets specifications and requirements so that it fulfills its intended purpose. It may also be referred to as software quality control.
CodeScene is a software engineering intelligence platform that combines code quality metrics with behavioral code analysis. It provides visualizations based on version control data and machine learning algorithms that identify social patterns and hidden risks in source code.