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Brandon Owens

dblp:118/6495 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

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

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
hazard analysis
0.112010
Safety-Driven Design for Software-Intensive Aerospace and Automotive Systems · Proc. IEEE 2010
Embedded and real-time systems › critical systems
safety-critical systems
0.112010
Safety-Driven Design for Software-Intensive Aerospace and Automotive Systems · Proc. IEEE 2010

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

STPA · 0.2
YearPublicationVenuePosition
2010 Safety-Driven Design for Software-Intensive Aerospace and Automotive Systems
abstract
Too often, systems are designed and then an attempt is made to add safety features or to prove that the design is safe after the fact. Safety has to be designed into a system from the start-it cannot be effectively added on to a mature design. In addition, the increasing use of software is changing the nature of accident causation in software-intensive systems and our safety engineering techniques must change accordingly. This article will describe a new hazard analysis technique, called STPA, which is effective on software-intensive systems. An advantage of this technique is that it can be used to drive the earliest design decisions and then proceed in parallel with ensuing design decisions and design refinement. Not only is this approach more effective, but the cost is no more than a more conventional design process and potentially much cheaper.
Margaret V. Stringfellow, Nancy G. Leveson, Brandon Owens
Proc. IEEE3