It takes the average reader 4 hours and 5 minutes to read Parallel Agile – faster delivery, fewer defects, lower cost by Doug Rosenberg
Assuming a reading speed of 250 words per minute. Learn more
From the beginning of software time, people have wondered why it isn’t possible to accelerate software projects by simply adding staff. This is sometimes known as the “nine women can’t make a baby in one month” problem. The most famous treatise declaring this to be impossible is Fred Brooks’ 1975 book The Mythical Man-Month, in which he declares that “adding more programmers to a late software project makes it later,” and indeed this has proven largely true over the decades. Aided by a domain-driven code generator that quickly creates database and API code, Parallel Agile (PA) achieves significant schedule compression using parallelism: as many developers as necessary can independently and concurrently develop the scenarios from initial prototype through production code. Projects can scale by elastic staffing, rather than by stretching schedules for larger development efforts. Schedule compression with a large team of developers working in parallel is analogous to hardware acceleration of compute problems using parallel CPUs. PA has some similarities with and differences from other Agile approaches. Like most Agile methods, PA "gets to code early" and uses feedback from executable software to drive requirements and design. PA uses technical prototyping as a risk-mitigation strategy, to help sanity-check requirements for feasibility, and to evaluate different technical architectures and technologies. Unlike many Agile methods, PA does not support "design by refactoring," and it doesn't drive designs from unit tests. Instead, PA uses a minimalist UML-based design approach (Agile/ICONIX) that starts out with a domain model to facilitate communication across the development team, and partitions the system along use case boundaries, which enables parallel development. Parallel Agile is fully compatible with the Incremental Commitment Spiral Model (ICSM), which involves concurrent effort of a systems engineering team, a development team, and a test team working alongside the developers. The authors have been researching and refining the PA process for several years on multiple test projects that have involved over 200 developers. The book’s example project details the design of one of these test projects, a crowdsourced traffic safety system.
Parallel Agile – faster delivery, fewer defects, lower cost by Doug Rosenberg is 238 pages long, and a total of 61,404 words.
This makes it 80% the length of the average book. It also has 75% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 35 minutes to read Parallel Agile – faster delivery, fewer defects, lower cost aloud.
Parallel Agile – faster delivery, fewer defects, lower cost is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Parallel Agile – faster delivery, fewer defects, lower cost by Doug Rosenberg is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Parallel Agile – faster delivery, fewer defects, lower cost by Doug Rosenberg on Amazon click the button below.
Buy Parallel Agile – faster delivery, fewer defects, lower cost on Amazon