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Software analytics for software engineering: A tertiary review

Laiq, Muhammad ; bin Ali, Nauman ; Börstler, Jürgen and Engström, Emelie LU orcid (2024)
Abstract
Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have been published. Some of these studies have overlapping aims and some have even been published in the same calendar year. This presents an opportunity to analyze the congruence or divergence of the conclusions in these studies. Such an analysis can help identify broader generalizations beyond any of the individual secondary studies. We identified five secondary studies on the use of SA for SE. These secondary studies cover primary research from 2000 to 2021. Despite the overlapping objectives and search time frames of these secondary studies, there is negligible... (More)
Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have been published. Some of these studies have overlapping aims and some have even been published in the same calendar year. This presents an opportunity to analyze the congruence or divergence of the conclusions in these studies. Such an analysis can help identify broader generalizations beyond any of the individual secondary studies. We identified five secondary studies on the use of SA for SE. These secondary studies cover primary research from 2000 to 2021. Despite the overlapping objectives and search time frames of these secondary studies, there is negligible overlap of primary studies between these secondary studies. Thus, each of them provides an isolated view, and together, they provide a fragmented view, i.e., there is no ``common picture'' of the area. Thus, we conclude that an overview of the literature identified by these secondary studies would be useful in providing a more comprehensive overview of the topic. (Less)
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author
; ; and
organization
publishing date
type
Working paper/Preprint
publication status
published
subject
publisher
arXiv.org
DOI
10.48550/arXiv.2410.05796
language
English
LU publication?
yes
id
c89a0a53-a1f5-47eb-b163-b5d5146d40cc
date added to LUP
2024-12-20 15:48:39
date last changed
2025-04-04 14:26:37
@misc{c89a0a53-a1f5-47eb-b163-b5d5146d40cc,
  abstract     = {{Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have been published. Some of these studies have overlapping aims and some have even been published in the same calendar year. This presents an opportunity to analyze the congruence or divergence of the conclusions in these studies. Such an analysis can help identify broader generalizations beyond any of the individual secondary studies. We identified five secondary studies on the use of SA for SE. These secondary studies cover primary research from 2000 to 2021. Despite the overlapping objectives and search time frames of these secondary studies, there is negligible overlap of primary studies between these secondary studies. Thus, each of them provides an isolated view, and together, they provide a fragmented view, i.e., there is no ``common picture'' of the area. Thus, we conclude that an overview of the literature identified by these secondary studies would be useful in providing a more comprehensive overview of the topic.}},
  author       = {{Laiq, Muhammad and bin Ali, Nauman and Börstler, Jürgen and Engström, Emelie}},
  language     = {{eng}},
  month        = {{10}},
  note         = {{Preprint}},
  publisher    = {{arXiv.org}},
  title        = {{Software analytics for software engineering: A tertiary review}},
  url          = {{http://dx.doi.org/10.48550/arXiv.2410.05796}},
  doi          = {{10.48550/arXiv.2410.05796}},
  year         = {{2024}},
}