| 000 | 04944nam a22005535i 4500 | ||
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| 001 | 978-3-030-30701-1 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125103.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 200103s2020 sz | s |||| 0|eng d | ||
| 020 |
_a9783030307011 _9978-3-030-30701-1 |
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| 024 | 7 |
_a10.1007/978-3-030-30701-1 _2doi |
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| 050 | 4 | _aQA76.758 | |
| 072 | 7 |
_aUMZ _2bicssc |
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_aCOM051230 _2bisacsh |
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_aUMZ _2thema |
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| 082 | 0 | 4 |
_a005.1 _223 |
| 100 | 1 |
_aRosenberg, Doug. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aParallel Agile – faster delivery, fewer defects, lower cost _h[electronic resource] / _cby Doug Rosenberg, Barry Boehm, Matt Stephens, Charles Suscheck, Shobha Rani Dhalipathi, Bo Wang. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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| 300 |
_aXIX, 221 p. 120 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _a1. 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. | |
| 520 | _aFrom 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 workingin 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 engineeringteam, 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. | ||
| 650 | 0 | _aSoftware engineering. | |
| 650 | 0 |
_aElectronic data processing _xManagement. |
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| 650 | 1 | 4 | _aSoftware Engineering. |
| 650 | 2 | 4 | _aIT Operations. |
| 700 | 1 |
_aBoehm, Barry. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aStephens, Matt. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aSuscheck, Charles. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aDhalipathi, Shobha Rani. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aWang, Bo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030307004 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030307028 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030307035 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-30701-1 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c174079 _d174079 |
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