Evidence map›Paper›PMID 33816828›Full record

ArticlePeerJ. Computer science2019

Software engineering principles to improve quality and performance of R software.

Seth Russell, Tellen D Bennett, Debashis Ghosh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ. Computer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Seth RussellUniversity of Colorado Data Science to Patient Value, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Tellen D BennettUniversity of Colorado Data Science to Patient Value, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0003-1483-4236
Debashis GhoshUniversity of Colorado Data Science to Patient Value, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0001-6618-1316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today's computational researchers are expected to be highly proficient in using software to solve a wide range of problems ranging from processing large datasets to developing personalized treatment strategies from a growing range of options. Researchers are well versed in their own field, but may lack formal training and appropriate mentorship in software engineering principles. Two major themes not covered in most university coursework nor current literature are software testing and software optimization. Through a survey of all currently available Comprehensive R Archive Network packages, we show that reproducible and replicable software tests are frequently not available and that many packages do not appear to employ software performance and optimization tools and techniques. Through use of examples from an existing R package, we demonstrate powerful testing and optimization techniques that can improve the quality of any researcher's software.

Indexed as

Case studyData scienceOptimizationProfilingReproducible researchR languageSoftware engineeringStatistical computingUnit testing

Identifiers

PMID33816828
PMCPMC7924430

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.