EDBT 2026 Demo / reviewers in the wild / expert
Lanteng Lin
dblp:382/5411
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0008-1575-811XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021
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 maintenance and evolution · 56% Program analysis · 28% Compilers and program optimization · 17% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis › static analysis
dependency analysis |
1.0 | 1 | 2026 | WizardMerge - Save Us from Merging without Any Clues · ACM Trans. Softw. Eng. Methodol. 2026 |
Software maintenance and evolution › software merging
merge conflict resolution |
1.0 | 1 | 2026 | WizardMerge - Save Us from Merging without Any Clues · ACM Trans. Softw. Eng. Methodol. 2026 |
Software maintenance and evolution › software configuration management
version control |
1.0 | 1 | 2026 | WizardMerge - Save Us from Merging without Any Clues · ACM Trans. Softw. Eng. Methodol. 2026 |
Compilers and program optimization
intermediate representation |
0.3 | 1 | 2026 | WizardMerge - Save Us from Merging without Any Clues · ACM Trans. Softw. Eng. Methodol. 2026 |
Compilers and program optimization › intermediate representation
LLVM IR |
0.3 | 1 | 2026 | WizardMerge - Save Us from Merging without Any Clues · ACM Trans. Softw. Eng. Methodol. 2026 |
Methods — techniques the papers use, named apart from their topics
program analysis · 1.0LLVM intermediate representation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | WizardMerge - Save Us from Merging without Any CluesabstractModern software development necessitates efficient version-oriented collaboration among developers. While Git is the most popular version control system, it generates unsatisfactory version merging results due to textual-based workflow, leading to potentially unexpected results in the merged version of the project. Although numerous merging tools have been proposed for improving merge results, developers remain struggling to resolve the conflicts and fix incorrectly modified code without clues. We present WizardMerge , an auxiliary tool that leverages merging results from Git to retrieve code block dependency on text and LLVM Intermediate Representation level and provide suggestions for developers to resolve errors introduced by textual merging. Rather than directly resolving these errors, the suggestions provide pigeonholed code blocks with their relevance and prioritized order within each category. To this end, developers can address the specific locations of these issues without manually analyzing their dependencies, thereby reducing the time and effort spent on conflict resolution tasks. Through the evaluation, we subjected WizardMerge to testing on 227 conflicts within five large-scale projects. The outcomes demonstrate that WizardMerge diminishes conflict merging time costs, achieving a 23.85% reduction. Beyond addressing conflicts, WizardMerge provides useful code block classifications and resolving orders for over 70% of the code blocks potentially affected by the conflicts. Notably, WizardMerge exhibits the capability to identify conflict-unrelated code blocks that require manual intervention yet are harmfully applied by Git during the merging. Qingyu Zhang 0005, Jiayi Lin 0007, Lanteng Lin, Chenxiong Qian |
ACM Trans. Softw. Eng. Methodol. | 5 |