Semantic-Aware Replicated Data Types for Improved Conflict Resolution in Near-Synchronous Code Collaboration

This dissertation addresses the limitations of convergence in near-synchronous code collaboration. Current techniques predominantly rely on string-based synchronization, which often results in conflict resolution that fails to address the underlying structural, syntactic, or semantic context of the...

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Vydáno v:Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) s. 190 - 192
Hlavní autor: Freudenthaler, Leon
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 27.04.2025
Témata:
Codes
Collaboration
Data visualization
Education
Merging
programming education
Programming environments
Programming profession
replicated data types
semantic-aware code collaboration
Semantics
Synchronization
Syntactics
ISSN:2574-1934
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Shrnutí:This dissertation addresses the limitations of convergence in near-synchronous code collaboration. Current techniques predominantly rely on string-based synchronization, which often results in conflict resolution that fails to address the underlying structural, syntactic, or semantic context of the code. This work proposes a semantic-aware approach that explores different levels of granularity in replicated data types (RDT) to overcome these limitations while enabling near-synchronous visualization of code evolution, enhancing interactive programming environments. The main contributions include: (1) a classification of conflict scenarios and intent-preserving code merging behavior, (2) a novel RDT approach exploring different granularity levels, (3) near-synchronous visualization of code semantics, and (4) extended RDT approaches utilizing nested replicated data types for improved conflict resolution in educational programming contexts.
ISSN:2574-1934
DOI:10.1109/ICSE-Companion66252.2025.00057