Demo Data from SIGIR 2026 / reviewers in the wild / expert
Linda M. Ottenstein
dblp:31/6474
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1979
—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 |
Empirical software engineering · 61% Software testing · 30% Software maintenance and evolution · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › software reliability
bug count estimation |
0.0 | 1 | 1979 | Quantitative Estimates of Debugging Requirements · IEEE Trans. Software Eng. 1979 |
Empirical software engineering
software metrics |
0.0 | 1 | 1979 | Quantitative Estimates of Debugging Requirements · IEEE Trans. Software Eng. 1979 |
Empirical software engineering › software metrics
software science metrics |
0.0 | 1 | 1979 | Quantitative Estimates of Debugging Requirements · IEEE Trans. Software Eng. 1979 |
Methods — techniques the papers use, named apart from their topics
software science metrics · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1979 | Quantitative Estimates of Debugging RequirementsabstractA major portion of the problems associated with software development might be blamed on the lack of appropriate tools to aid in the planning and testing phases of software projects. As one step towards solving this problem, this paper presents a model to estimate the number of bugs remaining in a system at the beginning of the testing and integration phases of development. The model, based on software science metrics, was tested using data currently available in the literature. Extensions to the model are also presented which can be used to obtain such estimates as the expected amount of personnel and computer time required for project validation. Linda M. Ottenstein |
IEEE Trans. Software Eng. | 1 |