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A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension

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Názov: A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension
Autori: Politowski, Cristiano, Khomh, Foutse, Romano, Simone, Scanniello, Giuseppe, Petrillo, Fabio, Guéhéneuc, Yann-Gaël, Maiga, Abdou
Rok vydania: 2020
Zbierka: Université du Québec à Chicoutimi (UQAC): Constellation
Predmety: Informatique, anti-patterns, blob, Spaghetti code, program comprehension, Java
Popis: Context Several studies investigated the impact of anti-patterns (i.e., “poor” solutions to recurring design problems) during maintenance activities and reported that anti-patterns significantly affect the developers’ effort required to edit files. However, before developers edit files, they must understand the source code of the systems. This source code must be easy to understand by developers. Objective In this work, we provide a complete assessment of the impact of two instances of two anti-patterns, Blob or Spaghetti Code, on program comprehension. Method We analyze the impact of these two anti-patterns through three empirical studies conducted at Polytechnique Montré al (Canada) with 24 participants; at Carlton University (Canada) with 30 participants; and at University Basilicata (Italy) with 79 participants. Results We collect data from 372 tasks obtained thanks to 133 different participants from the three universities. We use three metrics to assess the developers’ comprehension of the source code: (1) the duration to complete each task; (2) their percentage of correct answers; and, (3) the NASA task load index for their effort. Conclusions We report that, although single occurrences of Blob or Spaghetti code anti-patterns have little effect on code comprehension, two occurrences of either Blob or Spaghetti Code significantly increases the developers’ time spent in their tasks, reduce their percentage of correct answers, and increase their effort. Hence, we recommend that developers act on both anti-patterns, which should be refactored out of the source code whenever possible. We also recommend further studies on combinations of anti-patterns rather than on single anti-patterns one at a time.
Druh dokumentu: article in journal/newspaper
Popis súboru: application/pdf
Jazyk: English
Relation: https://constellation.uqac.ca/id/eprint/6227/; http://dx.doi.org/doi:10.1016/j.infsof.2020.106278; https://constellation.uqac.ca/id/eprint/6227/1/2020Politowski.pdf
DOI: 10.1016/j.infsof.2020.106278
Dostupnosť: https://constellation.uqac.ca/id/eprint/6227/1/2020Politowski.pdf
https://doi.org/10.1016/j.infsof.2020.106278
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Prístupové číslo: edsbas.8AD945
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  – Url: https://constellation.uqac.ca/id/eprint/6227/1/2020Politowski.pdf#
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  Data: A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension
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  Data: Université du Québec à Chicoutimi (UQAC): Constellation
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  Data: Context Several studies investigated the impact of anti-patterns (i.e., “poor” solutions to recurring design problems) during maintenance activities and reported that anti-patterns significantly affect the developers’ effort required to edit files. However, before developers edit files, they must understand the source code of the systems. This source code must be easy to understand by developers. Objective In this work, we provide a complete assessment of the impact of two instances of two anti-patterns, Blob or Spaghetti Code, on program comprehension. Method We analyze the impact of these two anti-patterns through three empirical studies conducted at Polytechnique Montré al (Canada) with 24 participants; at Carlton University (Canada) with 30 participants; and at University Basilicata (Italy) with 79 participants. Results We collect data from 372 tasks obtained thanks to 133 different participants from the three universities. We use three metrics to assess the developers’ comprehension of the source code: (1) the duration to complete each task; (2) their percentage of correct answers; and, (3) the NASA task load index for their effort. Conclusions We report that, although single occurrences of Blob or Spaghetti code anti-patterns have little effect on code comprehension, two occurrences of either Blob or Spaghetti Code significantly increases the developers’ time spent in their tasks, reduce their percentage of correct answers, and increase their effort. Hence, we recommend that developers act on both anti-patterns, which should be refactored out of the source code whenever possible. We also recommend further studies on combinations of anti-patterns rather than on single anti-patterns one at a time.
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  Data: https://constellation.uqac.ca/id/eprint/6227/; http://dx.doi.org/doi:10.1016/j.infsof.2020.106278; https://constellation.uqac.ca/id/eprint/6227/1/2020Politowski.pdf
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