19 feature models

本研究提出了19个特征模型作为软件产品线组合交互测试的基准。这些模型涵盖了多个应用领域，如数据库、网络、游戏等，每个模型都有其特定的特征数量和产品数量。这些模型旨在为研究提供一个共同的基础，以便比较不同的测试技术。数据集的创建过程涉及从多个学术会议和在线资源中收集和验证这些模型，确保其可用性和准确性。这些模型被用于评估组合交互测试技术的有效性，特别是在处理大量特征组合时的性能。This study proposes 19 feature models as benchmarks for combinatorial interaction testing of software product lines. These models cover multiple application domains such as databases, networking, games and other fields, with each model having a specific number of features and corresponding products. These models are intended to serve as a shared research foundation to facilitate the comparison of various testing techniques. The process of creating this dataset involves collecting and validating these models from multiple academic conferences and online resources, ensuring their usability and accuracy. These models are utilized to evaluate the effectiveness of combinatorial interaction testing technologies, particularly their performance when handling large numbers of feature combinations.