EDBT 2026 Demo / reviewers in the wild / expert
M. Haragopal
dblp:78/1639
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—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 |
Software maintenance and evolution · 50% Software testing · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
fault detection |
0.0 | 1 | 1998 | Overcoming the NAH Syndrome for Inspection Deployment · ICSE 1998 |
Software maintenance and evolution
software inspection |
0.0 | 1 | 1998 | Overcoming the NAH Syndrome for Inspection Deployment · ICSE 1998 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Overcoming the NAH Syndrome for Inspection DeploymentabstractDespite considerable evidence to show that inspections can help reduce costs and improve quality, inspections are not widely deployed in the software industry. One of the likely reasons for this is the "not applicable here (NAH)" syndrome-developers and managers believe that in their environment, inspections will not provide the benefits seen by other organizations. One of the big challenges for deploying inspections is to overcome this syndrome. We describe two experiments that can be conducted, with little effort, in an organization to obtain data from the organization to build a case for inspections. By conducting one of these experiments, we were able to effectively overcome the NAH syndrome in our organization-many developers and managers are now ready to try inspections in their projects. Though the purpose of the experiment was to overcome the syndrome, the data from the experiment also shows how code inspections compare with unit testing in terms of defect detection capability, and the effect of inspections on the overall cost of development. Pankaj Jalote, M. Haragopal |
ICSE | 2 |