Abstract
In order to successfully complete software development projects, it is important to quantitatively monitor outcomes of development processes by analyzing project performance data. Conventional quality control approaches use control limits as a performance measure for assuring final software product quality and implement appropriate actions according to actual process performance. In many cases, however, the relationship between process performance and the quality level of final product is evaluated only from a qualitative point of view. In this paper, we introduce a method for analyzing the relationship between performance data from software development processes and final product quality using Receiver Operating Characteristic (ROC) curves, which are used in evaluation of clinical analysis. We discuss a quantitative monitoring method for identifying process performance measures that can be used to predict the quality of service after delivery.
