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Dirk Heuzeroth

dblp:09/684 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2004
—ORCID · none

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

Software engineering, systems software and programming languages · 3 · 2 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 maintenance and evolution · 41% Program analysis · 38% Requirements engineering and software design · 22%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
model-driven engineering
0.012004
COMPASS: Tool-Supported Adaptation of Interactions · ASE 2004
Software maintenance and evolution › software evolution
software adaptation
0.012004
COMPASS: Tool-Supported Adaptation of Interactions · ASE 2004
Software maintenance and evolution › reverse engineering
design pattern detection
0.012003
Generating Design Pattern Detectors from Pattern Specifications · ASE 2003
Program analysis
dynamic analysis
0.012003
Generating Design Pattern Detectors from Pattern Specifications · ASE 2003
Program analysis
static analysis
0.012003
Generating Design Pattern Detectors from Pattern Specifications · ASE 2003

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

prolog · 0.0predicate-based specification · 0.0abstract syntax tree encoding · 0.0
YearPublicationVenuePosition
2004 COMPASS: Tool-Supported Adaptation of Interactions
Dirk Heuzeroth
ASE1
2003 Generating Design Pattern Detectors from Pattern Specifications
abstract
We present our approach to support program understanding by a tool that generates static and dynamic analysis algorithms from design pattern specifications to detect design patterns in legacy code. We therefore specify the static and dynamic aspects of patterns as predicates, and represent legacy code by predicates that encode its attributed abstract syntax trees. Given these representations, the static analysis is performed on the legacy code representation as a query derived from the specification of the static pattern aspects. It provides us with pattern candidates in the legacy code. The dynamic specification represents state sequences expected when using a pattern. We monitor the execution of the candidates and check their conformance to this expectation. We demonstrate our approach and evaluate our tool by detecting instances of the observer, composite and decorator patterns in Java code using Prolog to define predicates and queries.
Dirk Heuzeroth, Stefan Mandel, Welf Löwe
ASE1
2002 ICSR7 Young Researchers Workshop
Kai Boellert, Detlef Streitferdt, Dirk Heuzeroth
ICSR3