By Dave Thomas, David Heinemeier Hansson, Sam Ruby
Ruby on Rails is helping you produce high quality, beautiful-looking net functions fast. you consider developing the applying, and Rails looks after the details.
Tens of hundreds of thousands of builders have used this award-winning ebook to benefit Rails. It's a large, far-reaching educational and reference that's advised by way of the Rails center group. If you're new to Rails, you'll get step by step advice. If you're an skilled developer, this e-book offers you the great, insider details you need.
Rails has advanced through the years, and this publication has advanced besides it. We nonetheless begin with a step by step walkthrough of creating a true program, and in-depth chapters examine the integrated Rails positive factors. This variation now offers new Ruby and Rails clients additional info at the Ruby language and takes extra time to give an explanation for key innovations all through. most sensible practices on tips to observe Rails proceed to alter, and this version retains up. Examples use cookie subsidized periods, HTTP authentication, and energetic Record-based types, and the booklet focuses all through at the correct strategy to use Rails. also, this version now displays Ruby 1.9, a brand new unencumber of Ruby with enormous useful and function improvements.
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Additional info for Agile Web Development with Rails (4th edition)
3 Effort Estimation Bias The same properties regarding normality, sample size and standard deviation apply to the MRE-bias as to the MRE. A Kruskal-Wallis test was therefore appropriate. 02, so we can reject the hypothesis of no difference in median MRE-bias. To measure the magnitude of the observed accuracy difference in MRE-bias, we included Cohen’s size of effect measure (d) . The size of effect (d) was calculated as: d = (mean value W group– mean value I/E group) / pooled standard Does Use of Development Model Affect Estimation Accuracy and Bias?
Section 5 describes our research method. Section 6 the results of our survey. These results are discussed in section 7. A conclusion is presented in section 8. 2 Previous Studies Unfortunately, it is difficult to find empirical research that investigates the above claims. In fact, we have been unable to find any survey or experiment on software effort estimation that treats the development model as a factor that may influence project outcome. We were only able to find experience with development models and estimation in case studies, with little control and limited samples.
RQ1: Does the use of incremental or evolutionary development models affect the software estimation approach? RQ2: Does the use of incremental or evolutionary development models affect effort estimation accuracy? RQ3: Does the use of incremental or evolutionary development models affect effort estimation bias? RQ4: Does the use of incremental or evolutionary development models affect schedule estimation accuracy? 20 K. Moløkken et al. RQ5: Does the use of incremental or evolutionary development models affect schedule estimation bias?
Agile Web Development with Rails (4th edition) by Dave Thomas, David Heinemeier Hansson, Sam Ruby