A subject-based empirical evaluation of SSUCDs performance in reducing inconsistencies in use case models
The problem of inconsistencies in Use Case models has plagued practitioners over the years and has been a topic of interest for many researchers. In Use Case driven approaches, the damaging effects of inconsistencies escalate as inconsistencies have a detrimental influence on every aspect of the development process. The repercussions of inconsistencies have been well documented, but little progress has been made towards reducing and remedying their effects. This paper presents a controlled experiment, which evaluates the reduction of inconsistencies resulting from deploying a new structure called (Simple Structured Use Case Descriptions) SSUCD, which is used to assist with the development of Use Case descriptions. This experiment also investigates the impact of improving consistency amongst Use Case models on other key Use Case modeling quality attributes. The results of this experiment demonstrate that using SSUCD leads to an improvement in consistency between use case models and their associated descriptions.
ssucd inconsistencies use cases quality attributes subject-based experiment non-parametric analysis