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https://doi.org/10.1109/sera.2...
Article . 2008 . Peer-reviewed
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A Traceability Metamodel for Change Management of Non-functional Requirements

Authors: Mohamad Kassab; Olga Ormandjieva; Maya Daneva;

A Traceability Metamodel for Change Management of Non-functional Requirements

Abstract

Requirements changes are an issue in the software development life cycle which often originates from an incomplete knowledge of the domain of interest. Hardly any requirement manifests in isolation, and usually the provision of one requirement may affect the level of provision of another. Understanding the relations among system requirements is essential to ensuring their consistency and change management. In practice, many organizations either focus their traceability efforts on functional requirements (FRs) or else fail entirely to implement an effective traceability process. Tracing non-functional requirements (NFRs) has, by and large, been neglected. In this paper, we propose a metamodel which explicitly captures NFRs and their relations, and which is independent from any programming paradigm. In addition, we present an implementation using XML-based representations for the metamodel and XQuery queries to represent tracing information.

Country
Netherlands
Related Organizations
Keywords

METIS-254970, IR-65197, EWI-14562, SCS-Services

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average