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Many operations that are idempotent often have ways to "resume" a process if it is interrupted – ways that finish much faster than starting all over from the beginning. For example, resuming a file transfer, synchronizing files, creating a software build, installing an application and all of its dependencies with a package manager, etc.
Planning: required as many people (software teams) to work on the same project but with different functions at the same time. Modeling: involves business modeling, data modeling, and process modeling. Construction: this involves the reuse of software components and automatic code. Deployment: integration of all the increments.
The existing implementation should be analyzed frequently to determine how well it measures up to project goals. Program analysis facilities should be used whenever available to aid in the analysis of partial implementations. User reaction should be solicited and analyzed for indications of deficiencies in the current implementation.
Extreme programming (XP) is an agile software development methodology used to implement software systems. This article details the practices used in this methodology. Extreme programming has 12 practices, grouped into four areas, derived from the best practices of software engineering. [1]
In software engineering, a software development process or software development life cycle (SDLC) is a process of planning and managing software development. It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management .
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.
Extreme programming (XP) is a software development methodology intended to improve software quality and responsiveness to changing customer requirements. As a type of agile software development, [1] [2] [3] it advocates frequent releases in short development cycles, intended to improve productivity and introduce checkpoints at which new customer requirements can be adopted.
The pattern language continues to be relevant as of today, for instance in cloud application development and integration, and in the internet of things. In 2015, the two book authors reunited—for the first time since the publication of the book—for a retrospective and interview in IEEE Software. [1]