Isbn: 9783030307004 - parallel agile – faster delivery, fewer defects, lower cost (16 resultados)

Hardcover. Condición: Very Good. 1st ed. 2020. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Condición: Good. Our good condition books are generally good for reading but not for gifting or collecting. They could have imperfections such as creasing, fanning, inscriptions, margin notes, yellowing, staining on edge or cover or pages, bumps, scuffs, etc etc (sometimes multiple of these). It's a wide category that encompasses anything that isn't almost-new down to anything that is slightly better than poor. We would NOT recommend gifting Good books - these should be considered reading copies. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN so please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. pp. XIX, 221 120 illus. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 createsdatabase and API code, Parallel Agile (PA) achieves significant schedulecompression using parallelism: as many developers as necessary canindependently and concurrently develop the scenarios frominitial 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 developersworking 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.…

Hardcover. Condición: Brand New. 221 pages. 9.25x6.25x0.75 inches. In Stock.

Condición: new. Questo è un articolo print on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 createsdatabase and API code, Parallel Agile (PA) achieves significant schedulecompression using parallelism: as many developers as necessary canindependently and concurrently develop the scenarios frominitial 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. 244 pp. Englisch.…

Condición: New. Print on Demand pp. XIX, 221 120 illus.

Condición: New. PRINT ON DEMAND pp. XIX, 221 120 illus.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains how to develop software radically faster by employing parallel processing strategiesExplains how to develop well-designed, well-documented and well-tested softwareAddresses a number of problems with agile software development.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 developersworking 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch. …