2002Unpublished venueRequires access

Toward a fuzzy-logic based formal-approach for specifying imprecise requirements

J. Yen, J. Lee, Xiaoqing Liu

Open publisher page 0 citations

Abstract

A major challenge with requirement engineering is that the requirements to be captured usually are described in qualitative terms which are imprecise in nature. However, most existing software specification methodologies require that the requirements be represented in a precise form. In this paper, we propose a fuzzy logic-based formal approach to formulate soft (imprecise) functional requirements. Based on such a formulation, the trade-offs among conflicting soft requirements can be analyzed using fuzzy multicriteria optimization techniques. The proposed approach not only can provide useful design guidelines that help the designer to focus on effective design trade-offs, but also enable a more realistic validation of the user's imprecise requirements.>

About this research paper

What this paper is about

A major challenge with requirement engineering is that the requirements to be captured usually are described in qualitative terms which are imprecise in nature. However, most existing software specification methodologies require that the requirements be represented in a precise form. In this paper, we propose a fuzzy logic-based formal approach to formulate soft (imprecise) functional requirements. Based on such a formulation, the trade-offs among conflicting soft requirements can be analyzed using fuzzy multicriteria optimization techniques. The proposed approach not only can provide useful design guidelines that help the designer to focus on effective design trade-offs, but also enable a more realistic validation of the user's imprecise requirements.>

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A major challenge with requirement engineering is that the requirements to be captured usually are described in qualitative terms which are imprecise in nature. However, most existing software specification methodologies require that the requirements be represented in a precise form. In this paper, we propose a fuzzy logic-based formal approach to formulate soft (imprecise) functional requirements. Based on such a formulation, the trade-offs among conflicting soft requirements can be analyzed using fuzzy multicriteria optimization techniques. The proposed approach not only can provide useful design guidelines that help the designer to focus on effective design trade-offs, but also enable a more realistic validation of the user's imprecise requirements.>

Key concepts: Computer science, Fuzzy logic, Formal specification, Requirements engineering, Non-functional requirement, Software requirements specification, Requirements analysis, Focus (optics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Toward a fuzzy-logic based formal-approach for specifying imprecise requirements — Research Paper | ScholarLens