Estimating the cost of developing software in terms of work load is difficult since it is a challenge to quantify the size and complexity of a software system. The article Analysis of Size Metrics and Effort Performance Criterion in Software Cost Estimation provides an overview of different metrics used to assess size and complexity (Malathi & Sridhar, 2012). The metrics include counts of lines of code, function point counts, and operation counts. Function point counts are often utilized because they can be estimated based on project design specifications.
The dataset pointworkload.cvs contains data collected from 104 programming projects at AT&T between 1986 and 1991 (Matson & Huguenard, 2005). This dataset include number of work hours for each project, the function point count for each project, and identifiers for operating system, data management system, and programming language utilized. In this application, you will investigate whether operating system, data management system and programming language impact the number of work hours per function point for a project.
Open the dataset pointworkload.csv in Excel. Create a new column that calculates the number of work hours per function point for each project. Save the file with this new data column.
Next, you would want to look at the distribution of work hours per function point in a frequency diagram. Doing so in Excel requires either binning and counting the data yourself or installing the Data Analysis Toolpak Add-On. However, even with the add-on, simply getting a histogram requires multiple steps. Excel is designed for data presentation not for significant statistical analysis. It is capable of the statistical analysis but only with add-ons, macros, or programming. Instead of taking these steps, you will switch now to a software tool designed for statistical analysis, SPSS.
Go to the Resources section for Unit 4, and download the document IBM_SPSS_Installation_and_Registration_Instructions. This will guide you through the process of installing the statistical analysis platform SPSS which you will utilize for the remainder of this assignment.
Now, you are ready to determine whether operating system, data management system, or language impact the work hours per function point. To do this, you will utilize two different statistical tools. The t-test for difference in means between two independent samples and the analysis of variance.
Malathaim S. & Sridhar, S. (2012). Analysis of size effect metrics and effort performance criterion in software cost estimation. Indian Journal of Computer Science and Engineering, 3(1), pp. 24-31. Retrieved from http://www.ijcse.com/docs/INDJCSE12-03-01-101.pdf
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