Demo Data from VLDB 2026 / reviewers in the wild / expert
Lester J. Holtzblatt
dblp:34/2815 · also Les Holtzblatt
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software 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 maintenance and evolution · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › reverse engineering
design recovery |
0.0 | 1 | 1997 | Design Recovery for Distributed Systems · IEEE Trans. Software Eng. 1997 |
Software maintenance and evolution
reverse engineering |
0.0 | 1 | 1997 | Design Recovery for Distributed Systems · IEEE Trans. Software Eng. 1997 |
Methods — techniques the papers use, named apart from their topics
task flow extraction · 0.0design knowledge · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Design Recovery for Distributed SystemsabstractTwo factors limit the utility of reverse engineering technology for many distributed software systems. First, with the exception of tools that support Ada and its explicit tasking constructs, reverse engineering tools fail to capture information concerning the flow of information between tasks. Second, relatively few reverse engineering tools are available for programming languages in which many older legacy applications were written (e.g., Jovial, CMS-2, and various assembly languages). We describe approaches that were developed for overcoming these limitations. In particular, we have implemented an approach for automatically extracting task flow information from a command and control system written in CMS-2. Our approach takes advantage of a small amount of externally provided design knowledge in order to recover design information relevant to the distributed nature of the target system. Lester J. Holtzblatt, Richard L. Piazza, Howard B. Reubenstein, Susan N. Roberts, David R. Harris 0001 |
IEEE Trans. Software Eng. | 1 |