Parallel Agile – faster delivery, fewer defects, lower cost

Author:   Doug Rosenberg ,  Barry Boehm ,  Matt Stephens ,  Charles Suscheck
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030307035


Pages:   221
Publication Date:   26 August 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Parallel Agile – faster delivery, fewer defects, lower cost


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Overview

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.

Full Product Details

Author:   Doug Rosenberg ,  Barry Boehm ,  Matt Stephens ,  Charles Suscheck
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.379kg
ISBN:  

9783030307035


ISBN 10:   3030307034
Pages:   221
Publication Date:   26 August 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Parallel Agile Concepts.- 2. Inside Parallel Agile.- 3. CodeBots: From Domain Model to Executable Architecture.- 4. Parallel Agile by Example: CarmaCam.- 5. Taking the Scream Out of Scrum.- 6. Test Early, Test Often.- 7. Managing Parallelism: Faster Delivery, Fewer Defects, Lower Cost.- 8. Large-Scale Parallel Development.- 9. Parallel Agile for Machine Learning.- Appendix A. The Scream Guide.- Appendix B. Architecture Blueprints.

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