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Produktbeschreibung
  • Produktdetails
  • Verlag: Springer Berlin
  • Erscheinungstermin: 5. Dezember 2009
  • Englisch
  • ISBN-13: 9783642042881
  • Artikelnr.: 37373910
Autorenporträt
Inhaltsangabe

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.
Rezensionen
"This work is really geared toward researchers, software architects, and engineering and QA professionals who are looking for relevant metrics to measure the feasibility of the agile implementation at their respective organizations." -- from the review by Joel R. Singh on www.stickyminds.com

"In summary the book provides many valuable insights both to practitioners in terms of the evidence for test-first programming and to researchers in terms of clear illustrations of how new processes, methods and tools can be evaluated using experimentation in software engineering. It is pleasure to recommend this book to practitioners and researchers being interested in agile methods or empirical evaluation or both of them." -- from the Foreword by Claes Wohlin; Blekinge Institute of Technology, Sweden"

"This book makes a big step forward in a scientific approach to software engineering in general, and agile practices in particular. I am a practitioner and this is one of the very few books I saw that are in line with my gut feeling and day-to-day experience with Test-Driven Development and code quality. I believe this book will also help stop some of us from blindly practising agile methods as voo-doo rituals and shed some light on the facts behind it." -- Wojciech Biela; Agile Evangelist, Development Head; EMPiK.com and ExOrigo

"[...] The author helps the reader appreciate the rationale behind the use of scientific research methods in software engineering. The strength of the book lies in the appreciation of empirical software engineering methods. A few of the book's strengths are: its explanation of the research methods through modeling processes in unified modeling language (UML), the validation of models through hypotheses, the use of quantitative methods available through SPSS software, and the presentation of the examples through an incremental approach. [...]

I recommend the book to research scholars who plan to conduct multidisciplinary research in software engineering."
-- ACM Computing Reviews, Harekrishna Misra, January 2011…mehr
" This work is really geared toward researchers, software architects, and engineering and QA professionals who are looking for relevant metrics to measure the feasibility of the agile implementation at their respective organizations. " - from the review by Joel R. Singh on www.stickyminds.com

"In summary the book provides many valuable insights both to practitioners in terms of the evidence for test-first programming and to researchers in terms of clear illustrations of how new processes, methods and tools can be evaluated using experimentation in software engineering. It is pleasure to recommend this book to practitioners and researchers being interested in agile methods or empirical evaluation or both of them." - from the Foreword by Claes Wohlin; Blekinge Institute of Technology, Sweden

"This book makes a big step forward in a scientific approach to software engineering in general, and agile practices in particular. I am a practitioner and this is one of the very few books I saw that are in line with my gut feeling and day-to-day experience with Test-Driven Development and code quality. I believe this book will also help stop some of us from blindly practising agile methods as voo-doo rituals and shed some light on the facts behind it." - Wojciech Biela; Agile Evangelist, Development Head; EMPiK.com and ExOrigo

"[...] The author helps the reader appreciate the rationale behind the use of scientific research methods in software engineering. The strength of the book lies in the appreciation of empirical software engineering methods. A few of the book' s strengths are: its explanation of the research methods through modeling processes in unified modeling language (UML), the validation of models through hypotheses, the use of quantitative methods available through SPSS software, and the presentation of the examples through an incremental approach. [...] I recommend the book to research scholars who plan to conduct multidisciplinary research in software engineering." - ACM Computing Reviews, Harekrishna Misra, January 2011
…mehr