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02970nam a22004335i 4500 |
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978-3-642-04288-1 |
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DE-He213 |
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20151204172401.0 |
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cr nn 008mamaa |
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100301s2010 gw | s |||| 0|eng d |
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|a 9783642042881
|9 978-3-642-04288-1
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|a 10.1007/978-3-642-04288-1
|2 doi
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|d GrThAP
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|a QA76.758
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|a UMZ
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|a COM051230
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|a Madeyski, Lech.
|e author.
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|a Test-Driven Development
|h [electronic resource] :
|b An Empirical Evaluation of Agile Practice /
|c by Lech Madeyski.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
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|a XX, 245 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Related 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.
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|a Agile 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.
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|a Computer science.
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|a Software engineering.
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|a Management information systems.
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4 |
|a Computer Science.
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| 650 |
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|a Software Engineering.
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| 650 |
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|a Management of Computing and Information Systems.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642042874
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|u http://dx.doi.org/10.1007/978-3-642-04288-1
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
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