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pith:ZCPZR74E

pith:2025:ZCPZR74EZL7M5QKPIVLFO3K4NP

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TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings

Gias Uddin, Lan Xia, Longyu Zhang, Md Afif Al Mamun

TriagerX improves bug triaging by using two transformers for content-based developer rankings and then refining those rankings with historical interaction data.

arxiv:2508.16860 v2 · 2025-08-23 · cs.SE · cs.AI · cs.LG

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Claims

C1strongest claim

Across five datasets, TriagerX surpasses all nine transformer-based methods, including SOTA baselines, often improving Top-1 and Top-3 developer recommendation accuracy by over 10%.

C2weakest assumption

That the last three layers of each of the two transformers produce sufficiently independent and complementary signals for content ranking, and that historical developer interactions with similar fixed bugs provide reliable refinement signals that generalize beyond the training data.

C3one line summary

TriagerX combines dual-transformer content rankings with developer interaction history to improve top-k accuracy for developer and component recommendations in bug triaging across five datasets.

References

71 extracted · 71 resolved · 9 Pith anchors

[1] Automatic bug triage using text categorization, 2004

[2] Who should fix this bug? 2006

[3] Reducing the effort of bug report triage: Recommenders for development-oriented deci- sions, 2011

[4] Ap- plying deep learning based automatic bug triager to industrial projects, 2017

[5] DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging 2018 · arXiv:1801.01275

Receipt and verification

First computed	2026-05-21T01:04:16.031542Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c89f98ff84cafecec14f4556576d5c6bd9d21e0e450f22f5c7ef4545d0e061d2

Aliases

arxiv: 2508.16860 · arxiv_version: 2508.16860v2 · doi: 10.48550/arxiv.2508.16860 · pith_short_12: ZCPZR74EZL7M · pith_short_16: ZCPZR74EZL7M5QKP · pith_short_8: ZCPZR74E

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZCPZR74EZL7M5QKPIVLFO3K4NP \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c89f98ff84cafecec14f4556576d5c6bd9d21e0e450f22f5c7ef4545d0e061d2

Canonical record JSON

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    "abstract_canon_sha256": "d9390b3ebfbd044faeb99a55a8ab16c4cf3683e59886bc44330aaabb1e201e95",
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2025-08-23T01:10:42Z",
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