Demo Data from EDBT 2026 / reviewers in the wild / expert
Nanjuan Shi
dblp:36/1720
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 testing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
regression testing |
0.0 | 1 | 2004 | Scaling regression testing to large software systems · SIGSOFT FSE 2004 |
Software testing › regression testing
regression test selection |
0.0 | 1 | 2004 | Scaling regression testing to large software systems · SIGSOFT FSE 2004 |
Software testing › regression testing
test suite reduction |
0.0 | 1 | 2004 | Scaling regression testing to large software systems · SIGSOFT FSE 2004 |
Methods — techniques the papers use, named apart from their topics
static analysis · 0.0program dependence analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Scaling regression testing to large software systemsabstractWhen software is modified, during development and maintenance, it is regression tested to provide confidence that the changes did not introduce unexpected errors and that new features behave as expected. One important problem in regression testing is how to select a subset of test cases, from the test suite used for the original version of the software, when testing a modified version of the software. Regression-test-selection techniques address this problem. Safe regression-test-selection techniques select every test case in the test suite that may behave differently in the original and modified versions of the software. Among existing safe regression testing techniques, efficient techniques are often too imprecise and achieve little savings in testing effort, whereas precise techniques are too expensive when used on large systems. This paper presents a new regression-test-selection technique for Java programs that is safe, precise, and yet scales to large systems. It also presents a tool that implements the technique and studies performed on a set of subjects ranging from 70 to over 500 KLOC. The studies show that our technique can efficiently reduce the regression testing effort and, thus, achieve considerable savings. Alessandro Orso, Nanjuan Shi, Mary Jean Harrold |
SIGSOFT FSE | 2 |