Demo Data from EDBT 2026 / reviewers in the wild / expert
Ronghua Jiang
dblp:69/8917
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved
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 |
Program verification · 44% Programming languages and type systems · 44% Software testing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems › language semantics › formal semantics
axiomatic semantics |
0.2 | 1 | 2016 | Software Reliability Analysis Using Weakest Preconditions in Linear Assignment Programs · IEEE Trans. Software Eng. 2016 |
Program verification › predicate transformers
weakest precondition |
0.2 | 1 | 2016 | Software Reliability Analysis Using Weakest Preconditions in Linear Assignment Programs · IEEE Trans. Software Eng. 2016 |
Software testing › software reliability
reliability assessment |
0.1 | 1 | 2016 | Software Reliability Analysis Using Weakest Preconditions in Linear Assignment Programs · IEEE Trans. Software Eng. 2016 |
Methods — techniques the papers use, named apart from their topics
symbolic computation · 0.2disjunctive normal form · 0.2depth-first search · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Software Reliability Analysis Using Weakest Preconditions in Linear Assignment ProgramsabstractWeakest preconditions derived from triple axiomatic semantics have been widely used to prove the correctness of programs. They can also be applied to evaluate the reliability of software. However, deducing a weakest precondition, as well as determining its propagation path, encounters challenges such as unknown constraint conditions, symbol computation and means of representation. To address these challenges, in this paper, we utilize the disjunctive normal form of if-else branch structure to capture reasonable propagation paths of the weakest precondition. Meanwhile, by removing the sequential dependencies, we demonstrate how to get the weakest precondition of loop-structure by leveraging program function. Moreover, we extensively explore three modeling characteristics (i.e., path extension, innermost connection and condition leap) for deducing the weakest precondition of structured programs. Finally, taking the definition of program node and storage structure of weakest precondition as bases, we design a serial of modeling algorithms. Based on symbol computation and recursive call technology with Depth-First Search (DFS), our algorithms can not only be used to deduce the weakest precondition, but also to capture the propagate path of the weakest precondition. Experiments illustrate the efficacy and effectiveness of our proposed models and designed deductive algorithms. Xue (Steve) Liu, Xi Chen 0009, Ting Long, Ronghua Jiang |
IEEE Trans. Software Eng. | 5 |