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Matthew J. Gallagher

dblp:13/6808 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 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
1 paper
Software testing · 100%

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

TopicWeightPapersLastEvidence papers
Software testing
test input generation
0.011997
ADTEST: A Test Data Generation Suite for Ada Software Systems · IEEE Trans. Software Eng. 1997
Software testing
test coverage
0.011997
ADTEST: A Test Data Generation Suite for Ada Software Systems · IEEE Trans. Software Eng. 1997

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

program instrumentation · 0.0numerical optimization · 0.0
YearPublicationVenuePosition
1997 ADTEST: A Test Data Generation Suite for Ada Software Systems
abstract
Presents the design of the software system ADTEST (ADa TESTing), for generating test data for programs developed in Ada83. The key feature of this system is that the problem of test data generation is treated entirely as a numerical optimization problem and, as a consequence, this method does not suffer from the difficulties commonly found in symbolic execution systems, such as those associated with input variable-dependent loops, array references and module calls. Instead, program instrumentation is used to solve a set of path constraints without explicitly knowing their form. The system supports not only the generation of integer and real data types, but also non-numerical discrete types such as characters and enumerated types. The system has been tested on large Ada programs (60,000 lines of code) and found to reduce the effort required to test programs as well as providing an increase in test coverage.
Matthew J. Gallagher, V. Lakshmi Narasimhan
IEEE Trans. Software Eng.1
1993 A software system for the generation of test data for Ada programs
Matthew J. Gallagher, V. Lakshmi Narasimhan
Microprocess. Microprogramming1