Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Lothar Wendehals

dblp:03/5880 · DBLP profile ↗
← Back
2ranked-venue papers
0as 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 · 2

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 maintenance and evolution · 77% Program analysis · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › reverse engineering
design recovery
0.012002
Towards pattern-based design recovery · ICSE 2002

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

reverse engineering · 0.0incremental recognition algorithm · 0.0
YearPublicationVenuePosition
2004 Tool integration at the meta-model level: the Fujaba approach
Sven Burmester, Holger Giese, Jörg Niere, Matthias Tichy, Jörg P. Wadsack, Robert Wagner 0002, Lothar Wendehals, Albert Zündorf
Int. J. Softw. Tools Technol. Transf.7
2002 Towards pattern-based design recovery
abstract
A method and a corresponding tool is described which assist design recovery and program understanding by recognising instances of design patterns semi-automatically. The approach taken is specifically designed to overcome the existing scalability problems caused by many design and implementation variants of design pattern instances. Our approach is based on a new recognition algorithm which works incrementally rather than trying to analyse a possibly large software system in one pass without any human intervention. The new algorithm exploits domain and context knowledge given by a reverse engineer and by a special underlying data structure, namely a special form of an annotated abstract syntax graph. A comparative and quantitative evaluation of applying the approach to the Java AWT and JGL libraries is also given.
Jörg Niere, Wilhelm Schäfer, Jörg P. Wadsack, Lothar Wendehals, Jim Welsh
ICSE4