Extracting Requirements from Scenarios with ILP
Extracting Requirements from Scenarios with ILP
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使用 ILP 从场景中提取需求
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Sebastián Uchitel
中科院分区：
文献类型：
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作者：
Dalal Alrajeh;O. Ray;A. Russo;Sebastián Uchitel
需求工程涉及到高层次涉众目标的启发，以及它们对操作系统需求的细化。一个关键的困难是，利益相关者通常间接地传达他们的目标，通过直观的叙述式的场景的理想和不理想的系统行为，而目标细化方法通常需要的目标来表达，例如，一个时间逻辑。目前，从基于XML的描述中提取正式需求是一个繁琐且容易出错的过程，而自动化工具的支持将使其受益。我们提出了一个ILP的方法来推断一组场景的需求和一个初始的，但不完整的需求规范。该方法是基于翻译的规范和场景到基于事件的逻辑编程形式主义，并使用非单调ILP系统学习一组缺失的事件先决条件。本文的贡献是一个新的应用程序ILP的需求工程，也表明需要非单调学习。
Requirements Engineering involves the elicitationof high-level stakeholder goals and their refinementinto operational system requirements. A key difficulty is that stakeholders typically convey their goals indirectly through intuitive narrative-style scenarios of desirable and undesirable system behaviour, whereas goal refinement methods usually require goals to be expressed declaratively using, for instance, a temporal logic. Currently, the extraction of formal requirements from scenario-based descriptions is a tedious and error-prone process that would benefit from automated tool support. We present an ILP methodology for inferring requirements from a set of scenarios and an initial but incomplete requirements specification. The approach is based on translating the specification and scenarios into an event-based logic programming formalism and using a non-monotonic ILP system to learn a set of missing event preconditions. The contribution of this paper is a novel application of ILP to requirements engineering that also demonstrate the need for non-monotonic learning.