Prompt-Driven Code Summarization: A Systematic Literature Review
A systematic review organizes prompting approaches for code summarization and discusses inconsistent evaluation. For researchers maintaining analysis software, it offers background for evaluating generated documentation, especially limits of overlap-based metrics. This adoption connection is editorial guidance.
Workflow level n/a Source: Preprint (not peer-reviewed) Outcome: Not empirically evaluated here
Research applicability
A systematic review organizes prompting approaches for code summarization and discusses inconsistent evaluation. For researchers maintaining analysis software, it offers background for evaluating generated documentation, especially limits of overlap-based metrics. This adoption connection is editorial guidance.
Getting started
Read the cited abstract and paper; select a relevant task and baseline before trying the approach. This is editorial guidance, not an executed recipe.
Maintenance
Source snapshot checked 2026-11-01; ongoing maintenance, installed behavior and current-version parity not generally verified.
License
Consult original licence and data/provider terms; source access is not reuse clearance. No licence/rights audit or installation was performed.
Workflow & human oversight
Workflow level unassigned: Code-to-text generation is described, but the abstract gives no specific researcher-directed execution and checking process. Human control/boundary: No operational researcher checkpoints established in this abstract.; Code-to-text generation is described, but the abstract gives no specific researcher-directed execution and checking process.
Workflow level is not an evidence score; higher is not better evidence.
Approach
A systematic review organizes prompting approaches for code summarization and discusses inconsistent evaluation. For researchers maintaining analysis software, it offers background for evaluating generated documentation, especially limits of overlap-based metrics. This adoption connection is editorial guidance. Documented steps: A systematic review organizes prompting approaches for code summarization and discusses inconsistent evaluation. For researchers maintaining analysis software, it offers background for evaluating generated documentation, especially limits of overlap-based metrics. This adoption connection is editorial guidance.; Only the operations expressly described in the abstract are covered; implementation, approvals and stopping rules are not inferred.
Outcomes (as reported by the originating team)
No new empirical benefit is established by inclusion. No independent reproduction was performed here.
Limitations
No tested recipe is supplied here; semantic correctness of research-code documentation still needs assessment. Abstract-only review; full methods and execution were not verified.
Reproducibility
Primary-source text was read and preserved with provenance hashes. No candidate code, model, benchmark, data upload or claimed outcome was executed/reproduced.
Adoption requirements
Research expertise to evaluate source methods and outputs; task-specific datasets, models, compute, access rights and implementation requirements require checking before use.
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