Demo Data from EDBT 2026 / reviewers in the wild / expert
Kullo Raiend
dblp:10/1199
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—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
black-box testing |
0.1 | 1 | 2007 | Synthesis of test purpose directed reactive planning tester for nondeterministic systems · ASE 2007 |
Software testing
model-based testing |
0.1 | 1 | 2007 | Synthesis of test purpose directed reactive planning tester for nondeterministic systems · ASE 2007 |
Software testing › test execution › runtime testing
online testing |
0.1 | 1 | 2007 | Synthesis of test purpose directed reactive planning tester for nondeterministic systems · ASE 2007 |
Methods — techniques the papers use, named apart from their topics
trap-based test purpose · 0.1reactive planning · 0.1EFSM · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Synthesis of test purpose directed reactive planning tester for nondeterministic systemsabstractWe describe a model-based construction of an online tester for black-box testing of the implementation under test(IUT). The external behaviour of the IUT is modelled as an output observable nondeterministic EFSM with the assumption that all transition paths are feasible. A test purpose is attributed to the IUT model by a set of Boolean variables called traps that are used to measure the progress of the test run. These variables are associated with the transitions of the IUT model. The situation where all traps have been reached means that the test purpose has been achieved. We present a way to construct a tester that at runtime selects a suboptimal test path from trap to trap by finding the shortest path to the next unvisited trap. The principles of reactive planning are implemented in the form of the decision rules of selecting the shortest paths at runtime. The decision rules are constructed in advance from the IUT model and the test purpose. Preliminary experimental results confirm that this method clearly out performs random choice and is better than the anti-ant algorithm in terms of resultant test sequence length to achieve the test purpose Jüri Vain, Kullo Raiend, Andres Kull, Juhan P. Ernits |
ASE | 2 |