Basics of Software Engineering Experimentation
Springer-Verlag New York Inc.
978-1-4419-5011-6 (ISBN)
I: Introduction to Experimentation.- 1. Introduction.- 2. Why Experiment? The Role of Experimentation in Scientific and Technological Research.- 3. How to Experiment?.- II: Designing Experiments.- 4. Basic Notions of Experimental Design.- 5. Experimental Design.- III: Analysing the Experimental Data.- 6. Basic Notions of Data Analysis.- 7. Which is the Better of Two Alternatives? Analysis of One-Factor Designs with Two Alternatives.- 8. Which of k Alternatives is the Best? Analysis for One-Factor Designs and k Alternatives.- 9. Experiments with Undesired Variations: Analysis for Block Designs.- 10. Best Alternatives for More than One Variable: Analysis for Factorial Designs.- 11. Experiments with Incomparable Factor Alternatives: Analysis for Nested Designs.- 12. Fewer Experiments: Analysis for Fractional Factorial Designs.- 13. Several Desired and Undesired Variations: Analysis for Factorial Block Designs.- 14. Non-Parametric Analysis Methods.- 15. How Many Times should an Experiment be Replicated?.- IV: Conclusions.- 16. Some Recommendations on Experimenting.- References.- Annexes.- Annex I: Some Software Project Variables.- Annex II: Some Useful Latin Squares and How They are Used to Build Greco-Latin and Hyper-Greco-Latin Squares.- Annex III: Statistical Tables.
Erscheint lt. Verlag | 3.12.2010 |
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Zusatzinfo | XXII, 396 p. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 160 x 240 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
Informatik ► Theorie / Studium ► Algorithmen | |
Mathematik / Informatik ► Mathematik ► Analysis | |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
ISBN-10 | 1-4419-5011-7 / 1441950117 |
ISBN-13 | 978-1-4419-5011-6 / 9781441950116 |
Zustand | Neuware |
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