Guidelines for conducting systematic mapping studies in software engineering: An update
By Kai Petersen, Sairam Vakkalanka, Ludwik Kuzniarz. Information and Software Technology, 2015
2,459 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/2bd576ce574df33c834b6032962cd5ae0be5299f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Luís Cruz
- Michele De Donno
- Silverio Martínez-Fernández
- Marco Aurélio Gerosa
- Mika V. Mäntylä
- Anna Maria Vollmer
- Xavier Franch
- June Sallou
In Information Systems
- Luís Cruz
- Michele De Donno
- Silverio Martínez-Fernández
- Marco Aurélio Gerosa
- Mika V. Mäntylä
- Anna Maria Vollmer
- Xavier Franch
- June Sallou
Citations in the corpus
- Software Engineering for AI-Based Systems: A Survey (2021, background): “We reported this in Section 4, and considered all papers as the outcome of an SMS is an inventory of papers on the topic area, mapped to a classification [157].”
- A systematic review of Green AI (2023, methodology): “In addition, throughout our study, we followed the recommendations of the guidelines for conducting a systematic literature review (Kitchenham, 2004; Kitchenham & Brereton, 2013; Mayring et al., 2004; Petersen et al., 2015; Wohlin, 2014).”
- A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities (2020, methodology): “[20] and utilize the suggested template for describing our approach.”
- How-to conduct a systematic literature review: A quick guide for computer science research (2022, methodology): “The PICOC (Population, Intervention, Comparison, Outcome, and Context) criteria break down the SLR’s objectives into searchable keywords and help formulate research questions [ 27 ].”
- Guidelines for including the grey literature and conducting multivocal literature reviews in software engineering (2017, methodology): “[2] found that all of them were only assessed in the “Partial evaluation” point in terms of the need for review.”
- Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review (2020, methodology): “To answer the above research questions accurately, we adopted the well-founded PICO model [41].”
- Women’s Participation in Open Source Software: A Survey of the Literature (2021, methodology): “This section details our method, which is based on established guidelines [61, 86].”