Guidelines for conducting systematic mapping studies in software engineering: An update
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Karkouch et al.'s paper selection was random, without a systematic search and selection process of systematic reviews.
“Their paper selection was random without a systematic search and selection process of systematic reviews [104,130,150].”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [130]
Internet Identity Workshop (IIW) started a discussion about blockchain identity in the spring of 2015.
“Due to the growing interest in decentralized technology, especially blockchain, Internet Identity Workshop (IIW) started a discussion about blockchain identity in the spring of 2015.”
From Decentralized and Self-Sovereign Identity: Systematic Mapping Study (2021) · cites this paper as [42]
Decentralized and Self-Sovereign Identity is a general topic of discussion only since 2015.
“The second can be justified with the fact that decentralized and Self-Sovereign Identity is a general topic of discussion only since 2015.”
From Decentralized and Self-Sovereign Identity: Systematic Mapping Study (2021) · cites this paper as [42]
Validity considerations are applicable for SMS and SLR studies, like empirical studies.
“Validity considerations are applicable for SMS and SLR studies, like empirical studies (Petersen et al., 2008;Petersen et al., 2015).”
From A software engineering perspective on engineering machine learning systems: State of the art and challenges (2021) · cites this paper as Petersen et al., 2015
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“Wohlin [61] provides some advice to this end:”
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“Jalali and Wohlin [4] performed mapping of the literature available on Global software Engineering considering the guidelines by [2,1].”
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“[20] and utilize the suggested template for describing our approach.”
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A systematic review of Green <scp>AI</scp>
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Ampatzoglou, A., Bibi, S., Avgeriou, P., Verbeek, M., & Chatzigeorgiou, A. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2018.10.006 · Cited by 305 · see citing works
Testing machine learning based systems: a systematic mapping
Riccio, V., Jahangirova, G., Stocco, A., Humbatova, N., Weiss, M., & Tonella, P. (2020) · Empirical Software Engineering · doi:10.1007/s10664-020-09881-0 · Cited by 251 · see citing works
What is DevOps?: A Systematic Mapping Study on Definitions and Practices
Jabbari, R., bin Ali, N., Petersen, K., & Tanveer, B. (2016) · Proceedings of the Scientific Workshop Proceedings of XP2016 · doi:10.1145/2962695.2962707 · Cited by 230 · see citing works
Self-citationA survey on deep learning for software engineering
Yang, Y., Xia, X., Lo, D., & Grundy, J. (2022) · ACM Computing Surveys · doi:10.1145/3505243 · Cited by 223 · see citing works
Garousi, V., Felderer, M., & Mäntylä, M. V. (2016) · Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering · doi:10.1145/2915970.2916008 · Cited by 210 · see citing works
Machine learning applied to software testing: A systematic mapping study
Durelli, V. H. S., Durelli, R. S., Borges, S. S., Endo, A. T., Eler, M. M., Dias, D. R. C., & Guimaraes, M. P. (2019) · IEEE Transactions on Reliability · doi:10.1109/tr.2019.2892517 · Cited by 207 · see citing works
Giray, G. (2021) · Journal of Systems and Software · doi:10.1016/j.jss.2021.111031 · Cited by 187 · see citing works
Templier, M., & Paré, G. (2018) · European Journal of Information Systems · doi:10.1080/0960085x.2017.1398880 · Cited by 180 · see citing works
When and what to automate in software testing? A multi-vocal literature review
Garousi, V., & Mäntylä, M. V. (2016) · Information and Software Technology · doi:10.1016/j.infsof.2016.04.015 · Cited by 182 · see citing works
State of the art of cyber-physical systems security: An automatic control perspective
Zacchia Lun, Y., D’Innocenzo, A., Smarra, F., Malavolta, I., & Di Benedetto, M. D. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2018.12.006 · Cited by 211 · see citing works
Industry 4.0 reference architectures: State of the art and future trends
Nakagawa, E. Y., Antonino, P. O., Schnicke, F., Capilla, R., Kuhn, T., & Liggesmeyer, P. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107241 · Cited by 167 · see citing works
Impact of Gamification on Motivation and Academic Performance: A Systematic Review
Jaramillo-Mediavilla, L., Basantes-Andrade, A., Cabezas-González, M., & Casillas-Martín, S. (2024) · Education Sciences · doi:10.3390/educsci14060639 · Cited by 160 · see citing works
Blockchain applications in the biomedical domain: A scoping review
Drosatos, G., & Kaldoudi, E. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.01.010 · Cited by 145 · see citing works
“Since we have not managed to identify another systematic or scoping review on the same topic and research questions, we opted for a topic-specific alternative for the classification of papers, as described in guidelines for systematicmappingstudies insoftwareengineering[19].”
MethodConversational agents in business: A systematic literature review and future research directions
Bavaresco, R., Silveira, D., Reis, E., Barbosa, J., Righi, R., Costa, C., Antunes, R., Gomes, M., Gatti, C., Vanzin, M., et al. (2020) · Computer Science Review · doi:10.1016/j.cosrev.2020.100239 · Cited by 143 · see citing works
Thirteen years of SysML: a systematic mapping study
Wolny, S., Mazak, A., Carpella, C., Geist, V., & Wimmer, M. (2020) · Software and Systems Modeling · doi:10.1007/s10270-019-00735-y · Cited by 140 · see citing works
Serendipity in Recommender Systems: A Systematic Literature Review
Ziarani, R. J., & Ravanmehr, R. (2021) · Journal of Computer Science and Technology · doi:10.1007/s11390-020-0135-9 · Cited by 123 · see citing works
Aligning software engineering education with industrial needs: A meta-analysis
Garousi, V., Giray, G., Tüzün, E., Catal, C., & Felderer, M. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2019.06.044 · Cited by 119 · see citing works
Decentralized and Self-Sovereign Identity: Systematic Mapping Study
Cucko, S., & Turkanovic, M. (2021) · IEEE Access · doi:10.1109/access.2021.3117588 · Cited by 117 · see citing works
“[41], [42] and conducted an SMS process, performing the following steps:”
BackgroundMethodModel-based security engineering for cyber-physical systems: A systematic mapping study
Nguyen, P. H., Ali, S., & Yue, T. (2017) · Information and Software Technology · doi:10.1016/j.infsof.2016.11.004 · Cited by 107 · see citing works
AI-based learning style detection in adaptive learning systems: a systematic literature review
Ezzaim, A., Dahbi, A., Aqqal, A., & Haidine, A. (2025) · Journal of Computers in Education · doi:10.1007/s40692-024-00328-9 · Cited by 109 · see citing works
Context-awareness for the design of Smart-product service systems: Literature review
Carrera-Rivera, A., Larrinaga, F., & Lasa, G. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103730 · Cited by 97 · see citing works
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing
Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., Kistowski, J. V., Ali-Eldin, A., Abad, C. L., Amaral, J. N., Tuma, P., & Iosup, A. (2021) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2927908 · Cited by 93 · see citing works
Software engineering challenges for machine learning applications: A literature review
Kumeno, F. (2020) · Intelligent Decision Technologies · doi:10.3233/idt-190160 · Cited by 81 · see citing works
A Systematic Mapping Study of HCI Practice Research
Ogunyemi, A. A., Lamas, D., Lárusdóttir, M. K., & Loizides, F. (2019) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2018.1541544 · Cited by 82 · see citing works
Model-based testing for software safety: a systematic mapping study
Gurbuz, H. G., & Tekinerdogan, B. (2018) · Software Quality Journal · doi:10.1007/s11219-017-9386-2 · Cited by 78 · see citing works
A Systematic Review of Data Quality in CPS and IoT for Industry 4.0
Goknil, A., Nguyen, P., Sen, S., Politaki, D., Niavis, H., Pedersen, K. J., Suyuthi, A., Anand, A., & Ziegenbein, A. (2023) · ACM Computing Surveys · doi:10.1145/3593043 · Cited by 68 · see citing works
Descriptive theory of awareness for groupware development
Collazos, C. A., Gutiérrez, F. L., Gallardo, J., Ortega, M., Fardoun, H. M., & Molina, A. I. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-1165-9 · Cited by 65 · see citing works
Alzoubi, Y. I., Gill, A., & Mishra, A. (2022) · Journal of Cloud Computing · doi:10.1186/s13677-022-00353-y · Cited by 60 · see citing works
A Survey of Field-based Testing Techniques
Bertolino, A., Braione, P., Angelis, G. D., Gazzola, L., Kifetew, F., Mariani, L., Orrù, M., Pezzè, M., Pietrantuono, R., Russo, S., et al. (2022) · ACM Computing Surveys · doi:10.1145/3447240 · Cited by 37 · see citing works
Blue, Green, and Grey Water Quantification Approaches: A Bibliometric and Literature Review
Mubako, S. T. (2018) · Journal of Contemporary Water Research & Education · doi:10.1111/j.1936-704x.2018.03289.x · Cited by 36 · see citing works
Grande, R., Vizcaíno, A., & García, F. O. (2024) · Computer Standards & Interfaces · doi:10.1016/j.csi.2023.103767 · Cited by 30 · see citing works
Mapping the systematic literature studies about software ecosystems
García-Holgado, A., & García-Peñalvo, F. J. (2018) · Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality · doi:10.1145/3284179.3284330 · Cited by 24 · see citing works
Gamified Mobile Applications for Improving Driving Behavior: A Systematic Mapping Study
El hafidy, A., Rachad, T., Idri, A., & Zellou, A. (2021) · Mobile Information Systems · doi:10.1155/2021/6677075 · Cited by 21 · see citing works
Navigating the DevOps landscape
Zhang, X., Zhao, P., & Jaskolka, J. (2025) · Journal of Systems and Software · doi:10.1016/j.jss.2024.112331 · Cited by 21 · see citing works
de Koning, M., Machado, T., Ahonen, A., Strokina, N., Dianatfar, M., De Rosa, F., Minav, T., & Ghabcheloo, R. (2024) · Safety Science · doi:10.1016/j.ssci.2024.106517 · Cited by 17 · see citing works
Systematic Mapping Study on the Machine Learning Lifecycle
Xie, Y., Cruz, L., Heck, P., & Rellermeyer, J. S. (2021) · 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN) · doi:10.1109/wain52551.2021.00017 · Cited by 14 · see citing works
- Authors
- Petersen, K., Vakkalanka, S., & Kuzniarz, L.
- Affiliations
- Blekinge Institute of Technology (SE)
- Corresponding author
- Petersen, Kai
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 64
- Pages
- 1-18
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W1999798506
- Semantic Scholar
- 2bd576ce574df33c834b6032962cd5ae0be5299f
- Cited by
- 2,669
- References
- 109
- Citations by year
- 2026: 248 · 2025: 319 · 2024: 335 · 2023: 333 · 2022: 340 · 2021: 324 · 2020: 269 · 2019: 216 · 2018: 157 · 2017: 78 · 2016: 39 · 2015: 10
- FWCI
- 255.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information and Software Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Keywords
- systematic mapping, research guidelines, software engineering research, study selection, quality assessment
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