2008 First International Workshop on Managing Requirements Knowledge最新文献

Using Enhanced Wiki-based Solutions for Managing Requirements 使用增强的基于wiki的解决方案来管理需求

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.10

Özgür Ünalan, N. Riegel, Sebastian Weber, Jörg Dörr

引用次数: 19

NDR Ontology: Sharing and Reusing NFR and Design Rationale Knowledge NDR本体:共享和重用NFR和设计原理知识

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.7

Claudia A. López, L. M. Cysneiros, H. Astudillo

引用次数: 31

Recommending Terms for Glossaries: A Computer-Based Approach 推荐词汇表术语:基于计算机的方法

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.8

E. Knauss, Sebastian Meyer, K. Schneider

{"title":"Recommending Terms for Glossaries: A Computer-Based Approach","authors":"E. Knauss, Sebastian Meyer, K. Schneider","doi":"10.1109/MARK.2008.8","DOIUrl":"https://doi.org/10.1109/MARK.2008.8","url":null,"abstract":"Glossaries in Software Requirements Specifications (SRS) aim at establishing a common ground of definitions. However, ambiguous terms as due to tacit knowledge are seldom captured in glossaries. In addition, even if they are captured, they are seldom read, because potential readers are convinced that they already know how the term is defined. Such misunderstandings introduce high risks in projects - especially because they are so hard to detect. Therefore, a trigger is needed to start a discussion about these potentially dangerous terms. In this paper we show how context aware requirements engineering tools can heuristically detect these terms and point out the risk attached. We introduce two simple, yet powerful heuristics: Occurence counting detects important terms, comparison with old glossaries detects terms that others found worth defining in a glossary. Thus, we make use of glossaries from past projects to suggest possible terms of interest for current projects. Our approach was implemented and applied to six software projects. Based on these experiences we show the effectivity of our heuristics and how they could be used by learning organizations to reduce such ambiguity risks in their specific domain.","PeriodicalId":319454,"journal":{"name":"2008 First International Workshop on Managing Requirements Knowledge","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124769033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Capturing and Using Quality Attributes Knowledge in Software Architecture Evaluation Process 在软件体系结构评估过程中获取和使用质量属性知识

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.3

M. Babar, Rafael Capilla

引用次数: 11

Improving Knowledge Sharing in Embedded Software Production Line 提高嵌入式软件生产线的知识共享

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.5

Pekka T. Savolainen, J. Sajaniemi

引用次数: 3

Telos: Representing Knowledge about Control Systems? Telos:代表控制系统的知识?

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.9

D. Schmitz, H. Nissen, M. Jarke, T. Rose

引用次数: 4

Using the RITA Threats Ontology to Guide Requirements Elicitation: an Empirical Experiment in the Banking Sector 利用RITA威胁本体指导需求提取:银行业的实证实验

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.11

C. Salinesi, E. Ivankina, Willy Angole

引用次数: 11

A Dynamic Approach for Managing Stakeholder Credentials for Lightweight, Collaborative, Requirements Elicitation 为轻量级、协作性、需求引出管理涉众凭证的动态方法

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.1

Kurtis D. Todd, J. Cleland-Huang

引用次数: 4

Generating Requirements Analysis Models from Textual Requirements 从文本需求生成需求分析模型

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.4

João Pedro Santos, A. Moreira, J. Araújo, Vasco Amaral, Mauricio Alférez, U. Kulesza

引用次数: 10

ARED-CK: an Automated Requirements Elicitation Approach Based on Decision-making with Complete Knowledge 基于全知识决策的自动化需求获取方法

2008 First International Workshop on Managing Requirements Knowledge Pub Date : 2008-09-08 DOI: 10.1109/MARK.2008.2

Lin Liu, Lei Lin

{"title":"ARED-CK: an Automated Requirements Elicitation Approach Based on Decision-making with Complete Knowledge","authors":"Lin Liu, Lei Lin","doi":"10.1109/MARK.2008.2","DOIUrl":"https://doi.org/10.1109/MARK.2008.2","url":null,"abstract":"Requirements elicitation, as the first phase of the software life cycle, its importance is becoming more and more prominent. How fast and accurate user requirements can be elicited, is a problem that people wants to solve for a long time. This paper proposes to establish an automated elicitation system based on domain knowledge on user requirements. By gradually perfecting and refining the original requirements description, we can acquire requirements effectively and ultimately improve the quality of requirements and the efficiency of the elicitation process. The decision-making based approach for automated requirements elicitation, ARED-CK, assumes that a fairly complete domain knowledge base is in place, based on which inquiry cycles for eliciting requirements is formulated into a decision-making problem. Through continuous interactions with the user, the requirements decision-making process use requirements models in the domain knowledge base matching with specific instances of requirements model, and ultimately identify a requirements model fit the specific purpose of the target user. Moreover, the paper put forward the proposed decision process for optimization, so that within least steps of user interaction an optimal precise requirements model can be identified.","PeriodicalId":319454,"journal":{"name":"2008 First International Workshop on Managing Requirements Knowledge","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121884996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8