| Data collection is one of the most demanding tasks in software engineering. Without the aid of a solid theoretical basis to validate the measurement procedure, this software engineering data is rarely useful. Researchers and practitioners develop numerous ways to validate the collected data and transform the data into sophisticated information to understand the software systems development.; In order to predict the characteristics of software development accurately, software engineers seek to build a general estimation model for software project, which will represent the characteristics of software resources, processes and products. This thesis illustrates a framework for using meta-analysis as a statistical analysis technique to combine the knowledge acquired from different software development experiments and studies. An example is presented to show the results of data analysis is more accurate by using meta-analysis than traditional statistical analysis. |
