Demo Data from VLDB 2026 / reviewers in the wild / expert
John-Yih Kuo
dblp:12/268
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design
requirements analysis |
0.0 | 1 | 1998 | New Approach to Requirements Trade-Off Analysis for Complex Systems · IEEE Trans. Knowl. Data Eng. 1998 |
Requirements engineering and software design › requirements analysis
requirements classification |
0.0 | 1 | 1998 | New Approach to Requirements Trade-Off Analysis for Complex Systems · IEEE Trans. Knowl. Data Eng. 1998 |
Methods — techniques the papers use, named apart from their topics
soft conditions · 0.0fuzzy aggregation operators · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | New Approach to Requirements Trade-Off Analysis for Complex SystemsabstractWe propose a faceted requirement classification scheme for analyzing heterogeneous requirements. The representation of vague requirements is based on L.A. Zadeh's (1986) canonical form in test score semantics and an extension of the notion of soft conditions. The trade-off among vague requirements is analyzed by identifying the relationship between requirements, which could be either conflicting, irrelevant, cooperative, counterbalance, or independent. Parameterized aggregation operators, fuzzy and/or, are selected to combine individual requirements. An extended hierarchical aggregation structure is proposed to establish a four-level requirements hierarchy to facilitate requirements and criticalities aggregation through the fuzzy and/or. A compromise overall requirement can be obtained through the aggregation of individual requirements based on the requirements hierarchy. The proposed approach provides a framework for formally analyzing and modeling conflicts between requirements, and for users to better understand relationships among their requirements. John-Yih Kuo |
IEEE Trans. Knowl. Data Eng. | 2 |