軟體測試階段的工作攸關整體專案品質，而且軟體專案在測試階段會遭遇諸多不確定因素以及風險，因此針對軟體測試階段進行風險管理，提前辨識出測試任務之風險，組織即能提前訂定策略因應，確保軟體測試階段能在有限的資源下有效率的進行，進而得到更良好的軟體專案品質。然而，軟體測試及其風險辨識為知識密集的領域，需要仰賴專案人員的知識及經驗來辨識風險。為了將此知識在組織中分享及重用，因此本研究將建立本體模型保存專家人員知識，記錄並建立風險因子與風險關聯及風險間關聯。此外，進一步透過此關聯，運用模糊分析網路程序法量化關聯相依性。最後，將本體模型與風險關聯性整合後，設計與實作Ontology-Based Software Testing Risk Identification System，簡稱為OTRI，OTRI為Web-based系統，此系統可協助測試團隊辨識風險並掌握全面的風險關聯，並使組織知識儲存與再利用，以利測試任務順利且有效率的進行。;Software testing is one of the most important of software development tasks. Additionally, software testing often encounter uncertain and problematic risks. With the ability to identify the software testing risks, organizations could set proactive risk management strategies. However, software testing and risk identification are knowledge-intensive domain and it requires experienced domain experts and practitioner to do them efficiently. This research develops the ontology-based system to make use of organizational knowledge regarding software testing risk. In this system not only the relation between risks and risk factors but also the risks’ interaction relation are captured and saved. In addition, this research uses fuzzy analytic network process to quantify risks’ interaction relation. When a risk is identified, the proposed system is able to propagate other risks that are affected by the risk. Finally based on the model, this research is expected to assist test teams to comprehensively control the software testing risks.
