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Related papers: When to Update Systematic Literature Reviews in So…

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Context: Systematic Literature Reviews (SLRs) have been adopted within Software Engineering (SE) for more than a decade to provide meaningful summaries of evidence on several topics. Many of these SLRs are now potentially not fully…

Software Engineering · Computer Science 2020-06-11 Claes Wohlin , Emilia Mendes , Katia Romero Felizardo , Marcos Kalinowski

Context: New scientific evidence continuously arises with advances in Software Engineering (SE) research. Conventionally, Systematic Literature Reviews (SLRs) are not updated or updated intermittently, leaving gaps between updates, during…

Software Engineering · Computer Science 2022-06-10 Bianca Minetto Napoleão , Fabio Petrillo , Sylvain Hallé , Marcos Kalinowski

[Context] Systematic Literature Review (SLR) has been a major type of study published in Software Engineering (SE) venues for about two decades. However, there is a lack of understanding of whether an SLR is really needed in comparison to a…

Software Engineering · Computer Science 2023-07-13 Xiaofeng Wang , Henry Edison , Dron Khanna , Usman Rafiq

Systematic Literature Reviews (SLRs) play an important role in the Evidence-Based Software Engineering scenario. With the advance of the computer science field and the growth of research publications, new evidence continuously arises. This…

Software Engineering · Computer Science 2021-08-31 Bianca Minetto Napoleão , Fabio Petrillo , Sylvain Hallé

Background: The software engineering community has increasingly conducted systematic literature reviews (SLR) as a means to summarize evidence from different studies and bring to light the state of the art of a given research topic. While…

[Background] Systematic literature reviews (SLRs) are essential for synthesizing evidence in Software Engineering (SE), but keeping them up-to-date requires substantial effort. Study selection, one of the most labor-intensive steps,…

Background: Systematic literature reviews (SLRs) have become prevalent in software engineering research. Several researchers may conduct SLRs on similar topics without a prospective register for SLR protocols. However, even ignoring these…

Software Engineering · Computer Science 2026-01-30 Henry Edison , Nauman Ali

Systematic Literature Reviews (SLRs) are a widely employed research method in software engineering. However, there are several problems with SLRs, including the enormous time and effort to conduct them and the lack of obvious impacts of SLR…

Software Engineering · Computer Science 2025-01-06 Vinicius dos Santos , Rick Kazman , Elisa Yumi Nakagawa

Context: Systematic literature reviews (SLRs) have become standard practise as part of software engineering research, although their quality varies. To build on the reviews, both for future research and industry practice, they need to be of…

Software Engineering · Computer Science 2024-10-08 Muhammad Usman , Nauman bin Ali , Claes Wohlin

Systematic literature reviews (SLR) have been increasingly conducted in software engineering and they provide significant benefits in terms of summarizing the state of the research. The process of conducting SLR is complex, involving…

Software Engineering · Computer Science 2025-01-06 Vinicius dos Santos , Rick Kazman , Rafael Capilla , Elisa Yumi Nakagawa

Context: A Multivocal Literature Review (MLR) is a form of a Systematic Literature Review (SLR) which includes the grey literature (e.g., blog posts and white papers) in addition to the published (formal) literature (e.g., journal and…

Software Engineering · Computer Science 2018-09-19 Vahid Garousi , Michael Felderer , Mika V. Mäntylä

Context: The constant growth of primary evidence and Systematic Literature Reviews (SLRs) publications in the Software Engineering (SE) field leads to the need for SLR Updates. However, searching and selecting evidence for SLR updates…

Software Engineering · Computer Science 2024-02-09 Bianca Minetto Napoleão , Ritika Sarkar , Sylvain Hallé , Fabio Petrillo , Marcos Kalinowski

Context: Software testing plays an essential role in product quality improvement. For this reason, several software testing models have been developed to support organizations. However, adoption of testing process models inside…

Software Engineering · Computer Science 2019-01-08 Katarína Hrabovská , Bruno Rossi , Tomáš Pitner

The README file serves as a critical source of information for gaining an overview and helping developers onboard to an Open Source Software (OSS) project. Yet, documentation issues persist; in particular, ``outdated'' documentation is…

Software Engineering · Computer Science 2026-03-03 Haoyu Gao , Hong Yi Lin , Christoph Treude , Gregory Gay , Mansooreh Zahedi

Software engineering (SE) research should be relevant to industrial practice. There have been regular discussions in the SE community on this issue since the 1980's, led by pioneers such as Robert Glass. As we recently passed the milestone…

Software Engineering · Computer Science 2020-01-22 Vahid Garousi , Markus Borg , Markku Oivo

Following the rise of large language models (LLMs), many studies have emerged in recent years focusing on exploring the adoption of LLM-based tools for software development by novice developers: computer science/software engineering…

Software Engineering · Computer Science 2025-08-04 Samuel Ferino , Rashina Hoda , John Grundy , Christoph Treude

Code Review consists in assessing the code written by teammates with the goal of increasing code quality. Empirical studies documented the benefits brought by such a practice that, however, has its cost to pay in terms of developers' time.…

Software Engineering · Computer Science 2025-03-13 Rosalia Tufano , Gabriele Bavota

Systematic Literature Review (SLR) is a rigorous methodology applied for Evidence-Based Software Engineering (EBSE) that identify, assess and synthesize the relevant evidence for answering specific research questions. Benefiting from the…

Software Engineering · Computer Science 2017-04-26 Zheng Li , Yan Liu

The creation of systematic literature reviews (SLR) is critical for analyzing the landscape of a research field and guiding future research directions. However, retrieving and filtering the literature corpus for an SLR is highly…

Machine Learning · Computer Science 2026-02-18 Lucas Joos , Daniel A. Keim , Maximilian T. Fischer

Background: One of the most important current challenges of Software Engineering (SE) research is to provide relevant evidence to practice. In health related fields, Rapid Reviews (RRs) have shown to be an effective method to achieve that…

Software Engineering · Computer Science 2019-06-28 Bruno Cartaxo , Gustavo Pinto , Baldoino Fonseca , Márcio Ribeiro , Pedro Pinheiro , Sergio Soares , Maria Teresa Baldassarre
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