VLDB 2026 Research / reviewers in the wild / expert
Walker Royce
dblp:62/6558
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Empirical software engineering · 67% Software maintenance and evolution · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
agile software development |
0.2 | 1 | 2013 | Agility at scale: economic governance, measured improvement, and disciplined delivery · ICSE 2013 |
Software maintenance and evolution
software process improvement |
0.2 | 1 | 2013 | Agility at scale: economic governance, measured improvement, and disciplined delivery · ICSE 2013 |
Empirical software engineering
software project management |
0.2 | 1 | 2013 | Agility at scale: economic governance, measured improvement, and disciplined delivery · ICSE 2013 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Agility at scale: economic governance, measured improvement, and disciplined deliveryabstractAgility without discipline cannot scale, and discipline without agility cannot compete. Agile methods are now mainstream. Software enterprises are adopting these practices in broad, comprehensive delivery contexts. There have been many successes, and there have been disappointments. IBM's framework for achieving agility at scale is based on hundreds of successful deployments and dozens of disappointing experiences in accelerating software delivery cycles within large-scale organizations. Our collective know-how points to three key principles to deliver measured improvements in agility with high confidence: Steer using economic governance, measure incremental improvements honestly, and empower teams with disciplined agile delivery. This paper elaborates these three principles and presents practical recommendations for achieving improved agility in large-scale software delivery enterprises. Alan W. Brown, Scott Ambler, Walker Royce |
ICSE | 3 |