000 02967nam a22004335i 4500
001 978-3-642-04288-1
003 DE-He213
005 20140220084526.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 _a9783642042881
_9978-3-642-04288-1
024 7 _a10.1007/978-3-642-04288-1
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
082 0 4 _a005.1
_223
100 1 _aMadeyski, Lech.
_eauthor.
245 1 0 _aTest-Driven Development
_h[electronic resource] :
_bAn Empirical Evaluation of Agile Practice /
_cby Lech Madeyski.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _axx, 245 pages with 44 illustrations
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aRelated Work in Industrial and Academic Environments -- Research Goals, Conceptual Model and Variables Selection -- Experiments Planning, Execution and Analysis Procedure -- Effect on the Percentage of Acceptance Tests Passed -- Effect on the Number of Acceptance Tests Passed per Hour -- Effect on Internal Quality Indicators -- Effects on Unit Tests – Preliminary Analysis -- Meta-Analysis -- Discussion, Conclusions and FutureWork.
520 _aAgile methods are gaining more and more interest both in industry and in research. Many industries are transforming their way of working from traditional waterfall projects with long duration to more incremental, iterative and agile practices. At the same time, the need to evaluate and to obtain evidence for different processes, methods and tools has been emphasized. Lech Madeyski offers the first in-depth evaluation of agile methods. He presents in detail the results of three different experiments, including concrete examples of how to conduct statistical analysis with meta analysis or the SPSS package, using as evaluation indicators the number of acceptance tests passed (overall and per hour) and design complexity metrics. The book is appropriate for graduate students, researchers and advanced professionals in software engineering. It proves the real benefits of agile software development, provides readers with in-depth insights into experimental methods in the context of agile development, and discusses various validity threats in empirical studies.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aInformation Systems.
650 1 4 _aComputer Science.
650 2 4 _aSoftware Engineering.
650 2 4 _aManagement of Computing and Information Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642042874
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-04288-1
912 _aZDB-2-SCS
999 _c111586
_d111586