A Test Prioritization Method for Configurable Software Systems based on Variability Mining

• Item type: Symposium(1)
• 公開日: 2022-01-28
• タイトル: A Test Prioritization Method for Configurable Software Systems based on Variability Mining
• タイトル / 言語: en
• タイトル: A Test Prioritization Method for Configurable Software Systems based on Variability Mining
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: Waseda University
• 著者所属: NS Solutions Corporation
• 著者所属: Shibaura Institute of Technology
• 著者所属: Waseda University
• 著者所属: Waseda University
• 著者所属: Waseda University
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者所属(英): en
• 著者所属(英): NS Solutions Corporation
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者名: Tomoji, Kishi; Taiki, Koyama; Natsuko, Noda; Keisuke, Horiuchi; Kensho, Li; Chaoqun, Zhang
• 著者名(英): Tomoji, Kishi; Taiki, Koyama; Natsuko, Noda; Keisuke, Horiuchi; Kensho, Li; Chaoqun, Zhang
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Testing configurable software systems such as IoT systems is challenging since these systems have variability and could have combinatorial number of configurations. To reduce the testing costs, test prioritization is a promising approach. There are proposed test prioritization methods for variability-intensive systems. In such methods variability model such as FM (Feature Model) and FTS (Featured Transition System) are given. However, if systems are configured with devices from other manufactures, the variability model is not always known in advance. In this paper we propose a test prioritization method based on variability mining. In our method, variability information and statistical usage information are extracted from BT (Bluetooth) communication logs between the target system and the connected device and prioritize tests utilizing them. Our experiment shows that the method effectively prioritizes test cases derived from the STM (state transition model) of the target system.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Testing configurable software systems such as IoT systems is challenging since these systems have variability and could have combinatorial number of configurations. To reduce the testing costs, test prioritization is a promising approach. There are proposed test prioritization methods for variability-intensive systems. In such methods variability model such as FM (Feature Model) and FTS (Featured Transition System) are given. However, if systems are configured with devices from other manufactures, the variability model is not always known in advance. In this paper we propose a test prioritization method based on variability mining. In our method, variability information and statistical usage information are extracted from BT (Bluetooth) communication logs between the target system and the connected device and prioritize tests utilizing them. Our experiment shows that the method effectively prioritizes test cases derived from the STM (state transition model) of the target system.
• 書誌情報: Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform; 巻 2021, p. 42-49, 発行日 2022-01-28
• 出版者 / 言語: ja
• 出版者: 情報処理学会