Margaret C. Thompson

dblp:01/3668 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2016
0000-0001-5435-8989ORCID · corroborated

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

Software engineering, systems software and programming languages · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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
2 papers
Software testing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
fault detection
0.011993
An Information Flow Model of Fault Detection · ISSTA 1993
Software testing › test input generation
test data selection
0.011993
An Analysis of Test Data Selection Criteria Using the RELAY Model of Fault Detection · IEEE Trans. Software Eng. 1993

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

test data selection criteria analysis · 0.0fault detection model · 0.0
YearPublicationVenuePosition
2016 Demonstration of a stable chronic electrocorticography-based brain-computer interface using a deep brain stimulator
abstract
Chronic electrocorticography (ECoG) studies will be necessary to understand how end-users of assistive brain-computer interface (BCI) technologies will control their devices on a long-term scale. A BCI platform consisting of a deep brain stimulator (DBS) and a cortical electrode strip, theoretically suitable for use over multi-year periods, is validated in a single human subject with essential tremor (ET). At the time of this writing, stable ECoG recordings have been demonstrated for four months after implantation. Additionally, the patient has performed a BCI cursor-control task with better-than-chance accuracy using both (1) an overt movement control scheme and (2) a motor imagery control scheme. These results validate the sensing-enabled DBS with cortical strip system as an exciting platform for chronic ECoG BCI experiments and as a scientific tool for long-term cortical recordings in different patient populations.
Margaret C. Thompson, Jeffrey Herron, Timothy Brown, Jeffrey G. Ojemann, Andrew L. Ko, Howard Jay Chizeck
SMC1
1993 An Information Flow Model of Fault Detection
abstract
RELAY is a model of how a fault causes a failure on execution of some test datum. This process begins with introduction of an original state potential failure at a fault location and continues as the potential failure(s) transfers to output. Here we describe the second stage of this process, transfer of an incorrect intermediate state from a faulty statement to output.
Margaret C. Thompson, Debra J. Richardson, Lori A. Clarke
ISSTA1
1993 An Analysis of Test Data Selection Criteria Using the RELAY Model of Fault Detection
abstract
RELAY is a model of faults and failures that defines failure conditions, which describe test data for which execution will guarantee that a fault originates erroneous behavior that also transfers through computations and information flow until a failure is revealed. This model of fault detection provides a framework within which other testing criteria's capabilities can be evaluated. Three test data selection criteria that detect faults in six fault classes are analyzed. This analysis shows that none of these criteria is capable of guaranteeing detection for these fault classes and points out two major weaknesses of these criteria. The first weakness is that the criteria do not consider the potential unsatisfiability of their rules. Each criterion includes rules that are sufficient to cause potential failures for some fault classes, yet when such rules are unsatisfiable, many faults may remain undetected. Their second weakness is failure to integrate their proposed rules.>
Debra J. Richardson, Margaret C. Thompson
IEEE Trans. Software Eng.2