CRII: SHF: RUI: Representing and Merging Diverse Goal Models in Requirements Engineering

CRII：SHF：RUI：表示和合并需求工程中的不同目标模型

基本信息

批准号：
2104732
负责人：
Alicia Grubb
金额：
$ 17.44万
依托单位：
Smith College
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-06-01 至 2024-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2104732&HistoricalAwards=false
关键词：
CRII SHF RUI Representing Merging

项目摘要

Goal-Oriented Requirements Engineering (GORE) is an established method to help involved parties ("stakeholders") capture and determine the early-context for a new or modified software product. Through a central artifact called a goal model, engineers visualize the goals and dependencies of both the system under consideration and the project stakeholders. By creating goal models, engineers can reason about project trade-offs and how stakeholder goals and dependencies may evolve. Prior work assumes that only a single individual creates a goal model. This project has two research objectives. First, the project aims to enable multiple modelers to gather features from stakeholders separately and merge them into a single model for analysis. By merging goal models, practitioners may collaborate and capture additional perspectives leading to a more complete representation of the project, with inconsistencies and conflicts being resolved in the process. Second, the project aims to improve the usability of trade-off analysis and make analysis techniques more accessible to stakeholders. By providing stakeholders with more realistic models, practitioners can make better informed decisions, which in turn provides society with higher quality software. The project will contribute to the teaching of GORE modeling, an important part of software-engineering education. In this project, the investigators aim to support stakeholders' ability to collaborate in GORE activities, specifically the creation and analysis of large goal models. Researchers investigate integrating the viewpoints of multiple stakeholders for models with timing information by merging model syntax and model semantics. In a second research activity, the investigators improve the interpretation of analysis results and define a methodology for applying GORE reasoning, which supports stakeholders in decision making. For example, this project combines color visualizations with filtering analysis results to narrow the state-space of potential solutions. The project will provide tool support for model-management features, such as traceability links to validate the provenance of the merge operation. The research team will validate the effectiveness of the merge operation and analysis visualization through empirical observations of modelers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

面向目标的需求工程（GORE）是一种既定方法，可帮助参与方（“利益相关者”）捕获并确定新的或修改过的软件产品的早期字符。通过称为目标模型的中央文物，工程师可视化正在考虑的系统和项目利益相关者的目标和依赖性。通过创建目标模型，工程师可以推论项目权衡以及利益相关者的目标和依赖性如何发展。先前的工作假设只有一个人创建目标模型。该项目有两个研究目标。首先，该项目旨在使多个建模者分别从利益相关者那里收集功能，并将其合并为单个模型进行分析。通过合并目标模型，从业人员可以合作并捕获其他观点，从而使项目更完整地表示，并在此过程中解决了不一致和冲突。其次，该项目旨在提高权衡分析的可用性，并使利益相关者更容易获得分析技术。通过为利益相关者提供更现实的模型，从业人员可以做出更好的知情决策，这反过来又为社会提供了更高质量的软件。该项目将有助于戈尔建模的教学，这是软件工程教育的重要组成部分。在这个项目中，研究人员旨在支持利益相关者在血腥活动中合作的能力，特别是对大型目标模型的创建和分析。研究人员通过合并模型语法和模型语义来调查将多个利益相关者的观点与模型信息的观点与计时信息相结合。在第二次研究活动中，研究人员改善了分析结果的解释，并定义了应用血腥推理的方法，该方法支持利益相关者在决策中。例如，该项目将颜色可视化与过滤分析结果结合在一起，以缩小潜在解决方案的状态空间。该项目将为模型管理功能提供工具支持，例如可追溯性链接，以验证合并操作的出处。研究小组将通过对建模者的经验观察来验证合并操作和分析可视化的有效性。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响评估标准，被认为值得通过评估来获得支持。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

An Experiment on the Effects of Using Color to Visualize Requirements Analysis Tasks

使用颜色可视化需求分析任务效果的实验

DOI：
发表时间：
2023
期刊：
31st IEEE International Requirements Engineering conference
影响因子：
0
作者：
Baatartogtokh, Yesugen;Foster, Irene;Grubb, Alicia M.
通讯作者：
Grubb, Alicia M.

A Divide & Concur Approach to Collaborative Goal Modeling with Merge in Early-RE

DOI：
10.1109/re54965.2022.00009
发表时间：
2022-08
期刊：
2022 IEEE 30th International Requirements Engineering Conference (RE)
影响因子：
0
作者：
Kathleen R. Hablutzel;Anisha Jain;A. Grubb
通讯作者：
Kathleen R. Hablutzel;Anisha Jain;A. Grubb

Visualizations and Filtering to Help People Find their Path

可视化和过滤帮助人们找到他们的路径

DOI：
10.1145/3545947.3573297
发表时间：
2023
期刊：
SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2
影响因子：
0
作者：
Baatartogtokh, Yesugen;Foster, Irene
通讯作者：
Foster, Irene

Visualizations for User-supported State Space Exploration of Goal Models

用户支持的目标模型状态空间探索的可视化