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Researcher Evidence Record

Luca Pascarella

This bounded record lists 21 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.SE, cs.CV work dated 2019 to 2025. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 2 fields (cs.SE, cs.CV) · 2019-2025 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2025 Pith paper

    Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information

    cs.SE provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  2. 2024 Pith paper

    Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors

    cs.CV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 0 external cited by from arxiv_reference
    • 1 pith inbound references from cited_work_pith_inbound_counts
  3. 2024 Pith paper

    Towards Summarizing Code Snippets Using Pre-Trained Transformers

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  4. 2023 Pith paper

    Log Statements Generation via Deep Learning: Widening the Support Provided to Developers

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  5. 2023 Pith paper

    On the Empirical Evidence of Microservice Logical Coupling. A Registered Report

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2023 Pith paper

    Breaks and Code Quality: Investigating the Impact of Forgetting on Software Development. A Registered Report

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  7. 2023 Pith paper

    Source Code Recommender Systems: The Practitioners' Perspective

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2023 Pith paper

    Automating Code-Related Tasks Through Transformers: The Impact of Pre-training

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  9. 2023 Pith paper

    On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 2 pith inbound references from cited_work_pith_inbound_counts
  10. 2022 Pith paper

    Automated Variable Renaming: Are We There Yet?

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  11. 2022 Pith paper

    To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  12. 2022 Pith paper

    Using Reinforcement Learning for Load Testing of Video Games

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  13. 2022 Pith paper

    Using Pre-Trained Models to Boost Code Review Automation

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  14. 2022 Pith paper

    Using Deep Learning to Generate Complete Log Statements

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 0 external cited by from pith
    • 1 pith inbound references from cited_work_pith_inbound_counts
  15. 2021 Pith paper

    An Empirical Study on the Usage of Transformer Models for Code Completion

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  16. 2021 Pith paper

    An Empirical Study on Code Comment Completion

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  17. 2021 Pith paper

    Logging Practices with Mobile Analytics: An Empirical Study on Firebase

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  18. 2021 Pith paper

    An Empirical Study on the Usage of BERT Models for Code Completion

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  19. 2021 Pith paper

    Evaluating SZZ Implementations Through a Developer-informed Oracle

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  20. 2021 Pith paper

    Towards Automating Code Review Activities

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  21. 2019 Pith paper

    On The Effect Of Code Review On Code Smells

    cs.SE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Luca Pascarella
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 21 of 21 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 1 of 21 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 9 of 21 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 33 of 21 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Luca Pascarella
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • cs.SE20 rows
  • cs.CV1 rows
  • 20191 rows
  • 20216 rows
  • 20225 rows
  • 20236 rows
  • 20242 rows
  • 20251 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.