[GS06] SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair
Kunci Stabil: GS06 | Sitasi BibTeX: 1
Ringkasan Metadata
- Penulis & Tahun: Zhang and others (NJU), 2026
- Venue & Tier: ACM TOSEM (Q1) 2026
- DOI / URL: 10.1145/3818617
- Skor Kualitas (QA Score): - (QA korpus baru OPEN, belum dinilai)
- Peran Studi: QGS (penguji recall P1+P2)
- Tingkat Ekstraksi:
metadata-calibration - Cakupan (Scope): SWE-bench Lite (300 instances) & VUL4J.
1. Masalah Utama (Core Problem)
Repository-level software repair.
2. Arsitektur yang Diajukan (Architecture)
Localize-suggest-fix berfase (Localizer, Suggester, Fixer) + RepoGraph KG.
3. Mekanisme Koordinasi & Kontrol (Coordination)
Koordinasi sekuensial suggestion-guided berbasis graf pengetahuan; otonom penuh tanpa hierarki komando dan tanpa approval gate.
4. Foundation Model & Infrastruktur (FM)
Claude-3.5 / Claude-4 (evaluasi).
5. Tolok Ukur & Dataset (Benchmark)
SWE-bench Lite + VUL4J.
6. Artefak & Kode Sumber (Artifact)
NJU-Seq/SGAgent.
7. Metrik Primer Eksak (Primary exact)
Lite 51.3% (Claude-3.5) s.d. 60.7% (Claude-4) + VUL4J 48.0% (abstrak resmi CrossRef; PDF paywalled ACM, BELUM jangkar halaman).
8. Metrik Sekunder (Secondary)
-
9. Pola Kegagalan (Failure Modes)
Gagal bila saran awal menyesatkan fixer tanpa verifikasi eksternal.
10. Ancaman Validitas (Threats)
0 sitasi (umur 3,5 bln); PDF paywalled ACM.
11. Jejak Bukti & Provenansi (Provenance)
Bukti Verifikasi: EVIDENCED-FACT (GS_quasi_gold.md GS06; CrossRef resolve; arXiv 2602.23647v2 HIT; Scopus MISS = lag indeks TOSEM 2026).
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Zhang and 2026 others (NJU). SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair. 2026. Venue: ACM TOSEM (Q1) 2026, DOI: 10.1145/3818617, Role: QGS (penguji recall P1+P2). ↩