The (Practical) Importance of SE Experiments
Much experimental SE research involves testing a hypothesis regarding a relationship or difference between two variables. Typically, a null hypothesis (H0) of a zero correlation or no difference between the means of the two populations is posited. The standard way of reporting results from such statistical hypothesis testing is by presenting p-values or information about the rejection or acceptance of H0.
Academic chapter/article/Conference paper
- Tore Dybå
- SINTEF Digital / Software Engineering, Safety and Security
Empirical Software Engineering Issues. Critical Assessment and Future Directions. International Workshop, Dagstuhl Castle, Germany, June 26-30, 2006, Revised Papers