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A tertiary study: experiences of conducting systematic literature reviews in software engineering

Published: 14 April 2013 Publication History

Abstract

Context: The use of Systematic Literature Review (SLR) requires expertise and poses many challenges for novice researchers. The experiences of those who have used this research methodology can benefit novice researchers in effectively dealing with these challenges. Objective: The aim of this study is to record the reported experiences of conducting Systematic Literature Reviews, for the benefit of new researchers. Such a review will greatly benefit the researchers wanting to conduct SLR for the very first time. Method: We conducted a tertiary study to gather the experiences published by researchers. Studies that have used the SLR research methodology in software engineering and have implicitly or explicitly reported their experiences are included in this review. Results: Our research has revealed 116 studies relevant to the theme. The data has been extracted by two researchers working independently and conflicts resolved after discussion with third researcher. Findings from these studies highlight Search Strategy, Online Databases, Planning and Data Extraction as the most challenging phases of SLR. Lack of standard terminology in software engineering papers, poor quality of abstracts and problems with search engines are some of the most cited challenges. Conclusion: Further research and guidelines is required to facilitate novice researchers in conducting these phases properly.

References

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      cover image ACM Other conferences
      EASE '13: Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
      April 2013
      268 pages
      ISBN:9781450318488
      DOI:10.1145/2460999
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Centro de Informatica - UFPE: Centro de Informatica - UFPE
      • SBC: Brazilian Computer Society
      • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
      • CAPES: Brazilian Higher Education Funding Council

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 14 April 2013

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      Author Tags

      1. empirical software engineering
      2. experiences
      3. lessons learnt
      4. systematic literature reviews
      5. tertiary study

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      EASE '13
      Sponsor:
      • Centro de Informatica - UFPE
      • SBC
      • CNPq
      • CAPES

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      EASE '13 Paper Acceptance Rate 31 of 94 submissions, 33%;
      Overall Acceptance Rate 71 of 232 submissions, 31%

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      Cited By

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      • (2024)Systematic Literature StudiesExperimentation in Software Engineering10.1007/978-3-662-69306-3_4(51-63)Online publication date: 8-May-2024
      • (2024)A Framework and Taxonomy for Characterizing the Applicability of Software Architecture Recovery Approaches: A Tertiary‐Mapping StudySoftware: Practice and Experience10.1002/spe.336455:1(100-132)Online publication date: 17-Jul-2024
      • (2023)Machine Learning for Software Engineering: A Tertiary StudyACM Computing Surveys10.1145/357290555:12(1-39)Online publication date: 2-Mar-2023
      • (2023)Reproducible Searches in Systematic Reviews: An Evaluation and GuidelinesIEEE Access10.1109/ACCESS.2023.329921111(84048-84060)Online publication date: 2023
      • (2023)Adaptive search query generation and refinement in systematic literature reviewInformation Systems10.1016/j.is.2023.102231117:COnline publication date: 1-Jul-2023
      • (2022)Academic search engines: constraints, bugs, and recommendationsProceedings of the 13th International Workshop on Automating Test Case Design, Selection and Evaluation10.1145/3548659.3561310(25-32)Online publication date: 7-Nov-2022
      • (2022)Benefits and Challenges of a Graduate Course: An Experience Teaching Systematic Literature Review2022 IEEE Frontiers in Education Conference (FIE)10.1109/FIE56618.2022.9962446(1-9)Online publication date: 8-Oct-2022
      • (2022)SeSG: a search string generator for Secondary Studies with hybrid search strategies using text miningEmpirical Software Engineering10.1007/s10664-021-10084-427:5Online publication date: 1-Sep-2022
      • (2021)Global and Latin American female participation in evidence-based software engineering: a systematic mapping studyJournal of the Brazilian Computer Society10.1186/s13173-021-00109-727:1Online publication date: 19-Mar-2021
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