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Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices
The C preprocessor is widely used in practice. Conditional compilation with #ifdef annotations allows developers to flexibly introduce variability in their programs. Developers can use disciplined annotations, entirely enclosing full statements with preprocessor directives, or undisciplined ones, en...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262123/ https://www.ncbi.nlm.nih.gov/pubmed/34248397 http://dx.doi.org/10.1007/s10664-021-10002-8 |
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author | da Costa, José Aldo Silva Gheyi, Rohit Ribeiro, Márcio Apel, Sven Alves, Vander Fonseca, Baldoino Medeiros, Flávio Garcia, Alessandro |
author_facet | da Costa, José Aldo Silva Gheyi, Rohit Ribeiro, Márcio Apel, Sven Alves, Vander Fonseca, Baldoino Medeiros, Flávio Garcia, Alessandro |
author_sort | da Costa, José Aldo Silva |
collection | PubMed |
description | The C preprocessor is widely used in practice. Conditional compilation with #ifdef annotations allows developers to flexibly introduce variability in their programs. Developers can use disciplined annotations, entirely enclosing full statements with preprocessor directives, or undisciplined ones, enclosing only parts of the statements. Despite some debate, there is no consensus on whether a developer should use exclusively disciplined annotations. While one prior study found undisciplined annotations more time-consuming and error-prone, another study found no difference between disciplined and undisciplined annotations regarding task completion time and accuracy. In this article, we evaluate whether three fine-grained refactorings to discipline #ifdef annotations correlate with improvements in code comprehension and visual effort with an eye tracker. We conduct a controlled experiment with 64 human subjects who were majoritarily novices in the C programming language. We observed statistically significant differences for two refactorings to discipline annotations with respect to the analyzed metrics (time, fixation duration, fixation count, and regressions count) in the code regions changed by each refactoring. |
format | Online Article Text |
id | pubmed-8262123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82621232021-07-07 Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices da Costa, José Aldo Silva Gheyi, Rohit Ribeiro, Márcio Apel, Sven Alves, Vander Fonseca, Baldoino Medeiros, Flávio Garcia, Alessandro Empir Softw Eng Article The C preprocessor is widely used in practice. Conditional compilation with #ifdef annotations allows developers to flexibly introduce variability in their programs. Developers can use disciplined annotations, entirely enclosing full statements with preprocessor directives, or undisciplined ones, enclosing only parts of the statements. Despite some debate, there is no consensus on whether a developer should use exclusively disciplined annotations. While one prior study found undisciplined annotations more time-consuming and error-prone, another study found no difference between disciplined and undisciplined annotations regarding task completion time and accuracy. In this article, we evaluate whether three fine-grained refactorings to discipline #ifdef annotations correlate with improvements in code comprehension and visual effort with an eye tracker. We conduct a controlled experiment with 64 human subjects who were majoritarily novices in the C programming language. We observed statistically significant differences for two refactorings to discipline annotations with respect to the analyzed metrics (time, fixation duration, fixation count, and regressions count) in the code regions changed by each refactoring. Springer US 2021-07-07 2021 /pmc/articles/PMC8262123/ /pubmed/34248397 http://dx.doi.org/10.1007/s10664-021-10002-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article da Costa, José Aldo Silva Gheyi, Rohit Ribeiro, Márcio Apel, Sven Alves, Vander Fonseca, Baldoino Medeiros, Flávio Garcia, Alessandro Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices |
title | Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices |
title_full | Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices |
title_fullStr | Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices |
title_full_unstemmed | Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices |
title_short | Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices |
title_sort | evaluating refactorings for disciplining #ifdef annotations: an eye tracking study with novices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262123/ https://www.ncbi.nlm.nih.gov/pubmed/34248397 http://dx.doi.org/10.1007/s10664-021-10002-8 |
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