資訊管理學報

蔡文隆;陳仲儼;李明達;
頁: 377-405
日期: 2016/10
摘要: 對於軟體開發管理而言,組織通常會建立流程標準來讓各軟體專案據以執行。但鑒於軟體開發的獨特性,並非一套標準流程就可以完全套用在所有的軟體專案上。因此,企業組織需要訂定一套流程調適準則,讓專案成員根據不同專案所面臨的情境,依據調適準則而去調整實際的作法。然而,軟體流程調適是一個知識密集的活動,調適準則的制定或引用乃需要組織經驗方能提供適切的調適建議。故本研究嘗試建立一個以規則為基底的決策支援系統,運用本體論(Ontology)來建置一個知識與經驗導向的軟體流程本體模型,並據以發展出軟體專案流程調適推薦系統(Ontology-based software process tailoringrecommendation system; OntoSPRS)。本系統透過推論規則的設計,收集調適經驗,並以推論引擎對知識本體進行推論並產生調適策略,可協助專案成員在軟體開發過程中能更完整地將組織經驗帶入而導出具體實作方方式。本研究並以一國內物流公司雲端企業資源規劃系統之實際案例來展示本研究所建構的軟體流程本體。
關鍵字: 本體論;軟體專案;軟體流程調適;知識密集;決策支援;

Applying Ontology to Software Process Tailoring


Abstract: Purpose - Owing to the uniqueness in software development, this study develops an ontology-based software process tailoring recommendation system to manage quality and consistency in software development. Design/methodology/approach - The system includes a knowledge- intensive software process ontology model and features a rule inference engine for deriving tailoring strategies. Findings - This study found that the proposed system was able to improve tailoring recommendation outputs and make the underlying tailored strategy knowledge structure more accurate. Research limitations/implications - Due to high project variability and complicated influence factors, more new research is needed in the future. Furthermore, the interactions among tailoring factors will derive even more tailoring rules in practice. Practical implications - Since the system developed is specifically configured to work with the case company, the system may not be able to meet all organizational requirements. In practice, individual organizations should customize the content of ontology, based on the organizational characteristics and its own process standard. Originality/value - This study is the first develop a rule-based decision support system for software process tailoring. The study assists project specialists with project tailoring that complies with the organizational tailoring standard.
Keywords: Ontology;software project;process tailoring;knowledge-intensive;decision support;

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