Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sridevi Lingamarla
dblp:09/4156
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1999
—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 testing · 67% Requirements engineering and software design · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design
requirements traceability |
0.0 | 1 | 1999 | System for Automated Validation of Embedded Software in Multiple Operating Configurations · ASE 1999 |
Software testing
test case clustering |
0.0 | 1 | 1999 | System for Automated Validation of Embedded Software in Multiple Operating Configurations · ASE 1999 |
Software testing › test process
test management |
0.0 | 1 | 1999 | System for Automated Validation of Embedded Software in Multiple Operating Configurations · ASE 1999 |
Methods — techniques the papers use, named apart from their topics
test topology reasoning · 0.0relational database · 0.0data warehouse · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | System for Automated Validation of Embedded Software in Multiple Operating ConfigurationsabstractEmbedded controllers in safety critical applications rely on the highest of software quality standards. Testing is performed to ensure that requirements and specifications are met for all the different environments in which the controllers operate. This paper describes the architecture of a system that uses a relational database for tracking tests, requirements, and configurations. The relational sub-schemas are integrated in a data warehouse and allow traceability from requirements to tests. A normalized representation of test cases enables the system to reason about the test topologies and is used for constructing clusters of similar tests. A representative test from each cluster can in turn provide a rapid estimation, of the software's requirement coverage and quality. Sridevi Lingamarla, Gautam B. Singh, John Limburg, Mary Watson, Gary Edwards, Scott Gobrogge |
ASE | 1 |