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Iris Morschhaeuser

dblp:65/7880 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 · 67% Program verification · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design › requirements quality
requirements consistency
0.112009
Validating Automotive Control Software Using Instrumentation-Based Verification · ASE 2009
Requirements engineering and software design
requirements specification
0.112009
Validating Automotive Control Software Using Instrumentation-Based Verification · ASE 2009
Embedded and real-time systems › automotive embedded systems
automotive control software
0.012009
Validating Automotive Control Software Using Instrumentation-Based Verification · ASE 2009

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

model-based design · 0.2instrumentation-based verification · 0.2
YearPublicationVenuePosition
2009 Validating Automotive Control Software Using Instrumentation-Based Verification
abstract
This paper discusses the results of an application of a formally based verification technique, called Instrumentation-Based Verification (IBV), to a production automotive lighting controller. The goal of the study is to assess, from both a tools as well as a methodological perspective, the performance of IBV in an industrial setting. The insights obtained as a result of the project include a refinement of a previously developed architecture for requirements specifications; observations about changes to model-based design workflows; insights into the role of requirements during development; and the capability of automated verification to detect inconsistencies among requirements as well as between requirements and design models.
Arnab Ray, Iris Morschhaeuser, Christopher Ackermann, Rance Cleaveland, Charles P. Shelton
ASE2