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Timothy W. Larson

dblp:88/5209 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 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 · 77% Software maintenance and evolution · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
risk management
0.012000
Combining the Best Attributes of Qualitative and Quantitative Risk Management Tool Support · ASE 2000

Methods — techniques the papers use, named apart from their topics

risk mitigation · 0.0risk identification · 0.0
YearPublicationVenuePosition
2000 Combining the Best Attributes of Qualitative and Quantitative Risk Management Tool Support
abstract
Tools have been developed that support risk identification and management activities during different phases of a project lifecycle. For the earlier stages of the project lifecycle, a tool for the qualitative identification and manipulation of risk and risk mitigation data was developed. For the later stages of the lifecycle, a separate tool for the quantitative manipulation of requirements, risk and risk mitigation data was developed. These two tools were then combined into a single tool. The combination of these qualitative and quantitative risk management tools is the focus of this paper. The combination was first envisioned as simply a convenience, ensuring that the results from the early lifecycle risk management would flow smoothly into the later lifecycle management. However, it was found that the combination led to the possibility of extending many of the capabilities of each tool into the other tool's phases. The net result is a combination that exhibits the best attributes of both qualitative and quantitative risk management tool support.
Martin Feather, Steven L. Cornford, Timothy W. Larson
ASE3