Evidence map›Paper›PMID 42732311›Full record

ArticleMethodsX2026

A systematic mapping study method for software architecture research with LLM-assisted quality assessment.

Andrei Olar, Oskar Picus, Laura Cernău, Laura Dioșan, Simona Motogna

Abstract read
In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrei OlarBabeș-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania.
Oskar PicusBabeș-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania.
Laura CernăuBabeș-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania.
Laura DioșanBabeș-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania.
Simona MotognaBabeș-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes the protocol used to conduct a systematic mapping study (SMS) of software architecture. The presence of architectural and design instruction in primary studies cannot be determined through search and superficial review alone. A principled quality assessment must be conducted to identify studies that are both relevant and of high quality. LLM assistance offers practical means of performing such assessments in a timely and efficient manner. Therefore, our contribution is threefold: • Guidance for the following SMS steps: tooling setup, database search, deduplication and snowballing, primary study selection, quality assessment, and data extraction. • The rationale and methodology to perform quality assessment on primary studies regarding software architecture. • A method of using large language models (LLMs) together with human evaluators is presented. The method is supported by bespoke open-source software.

Indexed as

Entity resolutionLarge language modelsMethodQuality assessmentSoftware architectureSystematic mapping study

Identifiers

PMID42732311
PMCPMC13570351

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.