情景在软件开发的各个阶段发挥着至关重要的作用，是软件需求分析的关键工具。绝大多数项目都采用文本情景来捕捉和描述需求，然而文本情景本身具有不规范、不一致、不完备、缺乏结构性等缺陷，阻碍情景的高效使用，导致软件开发效率低下。如何从文本情景中自动化抽取多样化的情景知识，并对其进行不同视角的分析，正是需求工程领域尚未解决的关键难题。本项目拟以认知科学中的意象图式作为理论基础，针对文本情景的缺陷，对其展开多视角分析研究。具体内容包括：（1）针对文本情景中需求信息的多样化特点，基于意象图式，研究多视角情景模型的自动化构建；（2）针对不同视角的情景模型之间的不一致问题，基于意象图式关系模式，研究多视角情景模型分析和合成方法。本项目的成功实施有助于清晰、全面的刻画文本情景，提升项目人员对复杂情景的认知和理解，并在很大程度上提高情景分析的效率和准确性。

Scenarios play a crucial role in all stages of software development and they are the key tool for software requirements analysis. Textual scenarios are widely used in most industrial projects for capturing and describing requirements. Yet, textual scenarios have many drawbacks such as non-canonical, inconsistent, incomplete and lack of structure, which hinders their efficiency and results in the poor efficiency of software development. Therefore, how to automatically extract various kinds of knowledge from textual scenarios and analyze them from different perspectives, is a great challenge in the area of requirements engineering. In order to overcome the above drawbacks of textual scenarios, this project aims to research on multi-perspective analysis of textual scenarios based on the image schema theory in cognitive science, which includes: 1) In order to capture various types of requirements information, this project is to automatically construct the scenario models from multiple perspectives based on image schema; 2) In order to resolve the inconsistency among scenario models with different perspectives, this projects is to analyze and synthesize the scenarios models with different perspectives based on the relation pattern of image schema. The success of this project will help to obtain a clear and comprehensive description of textual scenarios, improve stakeholders' understanding of complex scenarios and greatly enhance the efficiency and accuracy of scenarios analysis.