A Document-based Parameter Correlation Metric for Test Design (S)
Hiroyuki Nakagawa, Nobukazu Ishii, Tatsuhiro Tsuchiya · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering · 2018
Efficient software testing requires precise test space definition.To determine the test space, constraint elicitation is one of the important processes in a test design; however, the process usually requires manual capturing and precise definition of constraints.We have developed a constraint elicitation process that helps to define constraints from documents relevant to the test model.In this paper, we propose a refined metric that finds parameter combinations to be extracted more precisely.This metric determines the parameter correlation on the basis of word co-occurrences in the specification document.We conduct experiments on some test models and demonstrate that our metric allows us to find parameter combinations that form constraints with a high recall rate.