Demo Data from EDBT 2026 / reviewers in the wild / expert
David H. Kitson
dblp:10/2448
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 4 · 2 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
3 papers |
Requirements engineering and software design · 48% Software maintenance and evolution · 30% Empirical software engineering · 22% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design › software process
software process assessment |
0.0 | 1 | 1993 | An Analysis of SEI Software Process Assessment Results: 1987-1991 · ICSE 1993 |
Software maintenance and evolution › software process improvement
software process maturity |
0.0 | 1 | 1991 | A Comparison of U.S. and Japanese Software Process Maturity · ICSE 1991 |
Empirical software engineering
software engineering practice |
0.0 | 1 | 1989 | The State of Software Engineering Practice: A Preliminary Report · ICSE 1989 |
Requirements engineering and software design
software process |
0.0 | 1 | 1991 | A Comparison of U.S. and Japanese Software Process Maturity · ICSE 1991 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Functional annotation of proteomic sequences based on consensus of sequence and structural analysisabstractTo maximise the assignment of function of the proteins encoded by a genome and to aid the search for novel drug targets, there is an emerging need for sensitive methods of predicting protein function on a genome-wide basis. GeneAtlas is an automated, high-throughput pipeline for the prediction of protein structure and function using sequence similarity detection, homology modelling and fold recognition methods. GeneAtlas is described in detail here. To test GeneAtlas, a 'virtual' genome was used, a subset of PDB structures from the SCOP database, in which the functional relationships are known. GeneAtlas detects additional relationships by building 3D models in comparison with the sequence searching method PSI-BLAST. Functionally related proteins with sequence identity below the twilight zone can be recognised correctly. David H. Kitson, Azat Ya. Badretdinov, Zhan-yang Zhu, Mikhail Velikanov, David J. Edwards, Krzysztof A. Olszewski, Sándor Szalma, Lisa Yan |
Briefings Bioinform. | 1 |
| 1996 | Relating the SPICE framework and SEI approach to software process assessment
David H. Kitson |
Softw. Qual. J. | 1 |
| 1993 | An Analysis of SEI Software Process Assessment Results: 1987-1991
David H. Kitson, Stephen M. Masters |
ICSE | 1 |
| 1991 | A Comparison of U.S. and Japanese Software Process Maturity
Watts S. Humphrey, David H. Kitson, Julia Gale |
ICSE | 2 |
| 1989 | The State of Software Engineering Practice: A Preliminary Report
Watts S. Humphrey, David H. Kitson, Tim C. Kasse |
ICSE | 2 |