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Inconsistency-based strategy for clarifying vague software requirements
Mu, KD; Jin, Z; Lu, RQ
2005
发表期刊AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE
ISSN0302-9743
卷号3809页码:39-48
摘要It seems to be inevitable to confront vague information about Customer's needs during the software requirements stage. It may be desirable to record and clarify the vague information to avoid missing real requirements. In this paper, we provide an in consistency-based strategy to handle vague information in the framework of Annotated Predicate Calculus. This strategy permits the stakeholder to describe the different vague information using statements with different levels of belief, where each level of belief is determined by the degree of vagueness. By checking consistency of the union of vague requirements and clear requirements, we then heighten the level of belief in uncontroversial vague requirements. We also lower the levels of belief in requirements involved in undesirable inferences and leave them to be articulated in some following stage. To support this, Annotated Predicate Calculus is used to represent the requirements specification. In particular, we present a special belief semilattice, which defines truth values appropriate for representing the strength of analyst's belief in the truth of requirements statements.
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000235836100007
出版者SPRINGER-VERLAG BERLIN
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/2031
专题中国科学院数学与系统科学研究院
通讯作者Mu, KD
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
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GB/T 7714
Mu, KD,Jin, Z,Lu, RQ. Inconsistency-based strategy for clarifying vague software requirements[J]. AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE,2005,3809:39-48.
APA Mu, KD,Jin, Z,&Lu, RQ.(2005).Inconsistency-based strategy for clarifying vague software requirements.AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE,3809,39-48.
MLA Mu, KD,et al."Inconsistency-based strategy for clarifying vague software requirements".AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE 3809(2005):39-48.
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