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Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices
Open accessAbstract
Continuous practices, i.e., continuous integration, delivery, and deployment, are the software development industry practices that enable organizations to frequently and reliably release new features and products. With the increasing interest in the literature on continuous practices, it is important to systematically review and synthesize the approaches, tools, challenges, and practices reported for adopting and implementing continuous practices. This paper aimed at systematically reviewing the state of the art of continuous practices to classify approaches and tools, identify challenges and practices in this regard, and identify the gaps for future research. We used the systematic literature review method for reviewing the peer-reviewed papers on continuous practices published between 2004 and June 1, 2016. We applied the thematic analysis method for analyzing the data extracted from reviewing 69 papers selected using predefined criteria. We have identified 30 approaches and associated tools, which facilitate the implementation of continuous practices in the following ways: (1) reducing build and test time in continuous integration (CI); (2) increasing visibility and awareness on build and test results in CI; (3) supporting (semi-) automated continuous testing; (4) detecting violations, flaws, and faults in CI; (5) addressing security and scalability issues in deployment pipeline; and (6) improving dependability and reliability of deployment process. We have also determined a list of critical factors, such as testing (effort and time), team awareness and transparency, good design principles, customer, highly skilled and motivated team, application domain, and appropriate infrastructure that should be carefully considered when introducing continuous practices in a given organization. The majority of the reviewed papers were validation (34.7%) and evaluation (36.2%) research types. This paper also reveals that continuous practices have been successfully applied to both greenfield and maintenance projects. Continuous practices have become an important area of software engineering research and practice. While the reported approaches, tools, and practices are addressing a wide range of challenges, there are several challenges and gaps, which require future research work for improving the capturing and reporting of contextual information in the studies reporting different aspects of continuous practices; gaining a deep understanding of how software-intensive systems should be (re-) architected to support continuous practices; and addressing the lack of knowledge and tools for engineering processes of designing and running secure deployment pipelines.
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“Despite the popularity of DevOps, security is among the major concerns that hinder the adoption of DevOps in software enterprises [5].”
From Prioritization based taxonomy of DevOps security challenges using PROMETHEE (2020) · cites this paper as [5]
In the citing paper
“We have also identified lack of automated testing tool performance measures for security [2], [5], [20], [23], [24] as a critical challenge that have a negative impact on DevOps security.”
From Prioritization based taxonomy of DevOps security challenges using PROMETHEE (2020) · cites this paper as [5]
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Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414
Systematic literature reviews in software engineering – A tertiary study
Kitchenham, B., Pretorius, R., Budgen, D., Pearl Brereton, O., Turner, M., Niazi, M., & Linkman, S. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2010.03.006 · Cited by 1,230
Loveday Ph., D., Clement, E., & Phd, I. (2014) · doi:10.4337/9781783473069.00009 · Cited by 1,227
Requirements engineering paper classification and evaluation criteria: a proposal and a discussion
Wieringa, R., Maiden, N., Mead, N., & Rolland, C. (2006) · Requirements Engineering · doi:10.1007/s00766-005-0021-6 · Cited by 940
Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation
Humble, J., & Farley, D. R. (2010) · Cited by 911
Challenges and success factors for large-scale agile transformations: A systematic literature review
Dikert, K., Paasivaara, M., & Lassenius, C. (2016) · Journal of Systems and Software · doi:10.1016/j.jss.2016.06.013 · Cited by 890
Newman, S. (2015) · CERN Document Server (European Organization for Nuclear Research) · Cited by 768
Continuous software engineering: A roadmap and agenda
Fitzgerald, B. F., & Stol, K.-J. (2015) · Journal of Systems and Software · doi:10.1016/j.jss.2015.06.063 · Cited by 742
Identifying relevant studies in software engineering
Zhang, H., Babar, M. A., & Tell, P. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2010.12.010 · Cited by 570
Devops: A Software Architect's Perspective
Bass, L., Weber, I. M., & Zhu, L. (2015) · CERN Document Server (European Organization for Nuclear Research) · Cited by 561
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Research works printed but not linked: 16
- 0, Longman Dictionary of Contemporary English Online
- luke, 2016, No One Agrees How to Define CI or CD
- 0, Camera Dictionary
- phillips, 2015, The IT Manager’s Guide to Continuous Delivery Delivering Business Value in Hours
- humble, 2016, Continuous delivery vs continuous deployment
- 2016, What is Continuous Deployment
- humble, 2016, What is Continuous Delivery?
- reed, 2016, The Business Case for Continuous Delivery
- skelton, 2016, Continuous Delivery With Windows and NET
- humble, 2015, Principle 2 Decouple Deployment and Release
- 2016, Five Habits of Highly Successful Continuous Delivery Practitioners
- thiele, 2016, Continuous Delivery An Easy Must-Have for Agile Development
- 2015, State of DevOps Report
- sundman, 2013, Continuous delivery vs continuous deployment
- suzie, 2016, The Product Managers Guide to Continuous Delivery and DevOps
- sato, 2015, Canary Release
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Wang, C., & Tseng, C. (2024) · International Computer Symposium · doi:10.1109/ics64339.2024.00020 · Cited by 1
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Khelifi, J., Benzina, Y., Chouchen, M., Ouni, A., Sayagh, M., & Bouktif, S. (2025) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner64311.2025.00087 · Cited by 1
Carvalho, G., Bernardino, J., Cabral, B., & Pereira, V. (2025) · IEEE Access · doi:10.1109/access.2025.3587670 · Cited by 1
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Andrade, R., Torres, J., Ortiz-Garcés, I., & Segovia, J. (2025) · Applied Sciences · doi:10.3390/app15179526 · Cited by 1
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Schorn, C., Sauer, A., Fischer, M., Feldner, I., Schamm, T., & Rehm, F. (2025) · doi:10.1109/iccad66269.2025.11240996 · Cited by 1
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Mansur, T. A. (2025) · International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) · doi:10.1109/icerect65215.2025.11375961 · Cited by 1
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Manolov, V., Gotseva, D., & Hinov, N. L. (2026) · Future Internet · doi:10.3390/fi18020099 · Cited by 1
Just-in-time bug classifier: A step towards integrating Automated Program Repair in CI/CD pipelines
Kabadi, V., Le, X.-B. D., Thongtanunam, P., & Treude, C. (2026) · Information and Software Technology · doi:10.1016/j.infsof.2026.108076 · Cited by 1
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Demirel, B., İkiz, A. K., Durukan, M. B., & Ertaylan, Ş. (2026) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70213 · Cited by 1
Continuous integration support in modeling tools.
Jongeling, R., Carlson, J., Cicchetti, A., & Ciccozzi, F. (2018) · Cited by 1
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Kleehaus, M., Uludağ, Ö., & Matthes, F. (2018) · International Conference on the Quality of Information and Communications Technology (QUATIC) · doi:10.1109/quatic.2018.00026 · Cited by 1
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Alloghani, M. A., & Alani, M. M. (2020) · Computer communications and networks · doi:10.1007/978-3-030-33624-0_6 · Cited by 1
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Schöbel, A., Klotz, P., Zaschke, C., & Essendorfer, B. (2021) · Transactions on computational science and computational intelligence · doi:10.1007/978-3-030-70873-3_38 · Cited by 1
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Ramírez, A. P. G. (2022) · Encuentro Internacional de Educación en Ingeniería · doi:10.26507/paper.2657 · Cited by 1
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Ferrão, R. C., Montagner, I. D. S., & Trevisoli, R. D. (2023) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie58773.2023.10342910 · Cited by 1
Araújo, T. C. D. M., Dias, M. B., Müller, D. L., Neves, R. N., Basso, F. P., & Bernardino, M. (2023) · Escola Regional de Engenharia de Software (ERES) · doi:10.5753/eres.2023.237738 · Cited by 1
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Atencio, G. S., & Umaña-Ramírez, M. (2024) · Revista Tecnología en Marcha · doi:10.18845/tm.v37i2.6743 · Cited by 1
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Ferreira, A., Brito, M. A., & de Lima, J. (2024) · International Journal of Automotive Technology · doi:10.1007/s12239-024-00132-5 · Cited by 1
Peng, T., Fu, W.-T., Kong, S.-D., Li, X.-L., Xie, C.-F., Fu, T., & Yang, F. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-7051-9_41 · Cited by 1
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Guedes, J., Duarte, J., Guimarães, T. A. S., & Santos, M. F. (2024) · Information · doi:10.3390/info15120745 · Cited by 1
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Mourya, S. K. (2025) · European Journal of Computer Science and Information Technology · doi:10.37745/ejcsit.2013/vol13n278090 · Cited by 1
Kumar, T., Kanungo, R., & Kanungo, B. (2024) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit64611.2024.11022409 · Cited by 1
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Justino, Y. D. L., & da Silva, C. E. (2018) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3183440.3195067 · Cited by 1
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Lai, S.-T. (2019) · International Journal of Software Engineering & Applications · doi:10.5121/ijsea.2019.10103 · Cited by 1
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Yue, M., & Feng, H. (2021) · Journal of Computational Methods in Sciences and Engineering · doi:10.3233/jcm-214973 · Cited by 1
Bychkov, I. V., Feoktistov, A. G., Gorsky, S., & Kostromin, R. O. (2021) · International Conference on Information Technology and Nanotechnology (ITNT) · doi:10.1109/itnt52450.2021.9649396 · Cited by 1
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Hannousse, A., & Yahiouche, S. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-04112-9_15 · Cited by 1
Jung, R., Märtin, L., Johanßen, J. O., Paech, B., Lochau, M., Thüm, T., Schneider, K. A., Tichy, M., & Ulbrich, M. (2019) · Springer eBooks · doi:10.1007/978-3-030-13499-0_3 · Cited by 1
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Águila, I. M. D., del Sagrado, J., & Cañadas, J. (2020) · arXiv.org · doi:10.48550/arxiv.2002.10163 · Cited by 1
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Haertel, C., Pohl, M., Staegemann, D. G., & Turowski, K. (2022) · Research Square · doi:10.21203/rs.3.rs-1546855/v1 · Cited by 1
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Mascheroni, M. A. (2021) · doi:10.35537/10915/122709 · Cited by 1
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Rajasinghe, M. (2021) · doi:10.36227/techrxiv.16681957 · Cited by 1
Morris, B. F., Cheng, T., & Koontz, C. (2022) · doi:10.24868/10730 · Cited by 1
Nazário, M., Bonifácio, R., & Pinto, G. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4571017 · Cited by 1
Selmadji, A., Seriai, A.-D., Salman, H. E., Alshara, Z., Shatnawi, A., Seriai, A., & Zaragoza, P. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4640061 · Cited by 1
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Szeremeta, Ł. (2026) · SoftwareX · doi:10.1016/j.softx.2026.102510 · Cited by 1
Madeyski, L., & Ochodek, M. (2018) · Foundations of Computing and Decision Sciences · doi:10.1515/fcds-2018-0013
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Krajnc, A., Petr, C., Skuhala, M., & Ramšak, G. (2019) · OTS Sodobne informacijske tehnologije in storitve (OTS) · doi:10.18690/978-961-286-282-4.24
Hu, J., Zhang, B., Lu, J., Xu, L., & Hou, M. (2020) · IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · doi:10.1109/itnec48623.2020.9084827
Compatibility Validation Framework for Complex Data Center HW Components
Garcia, A., Benitez-Talamantes, A., & Manzano-Hernandez, P. (2020) · IEEE International Conference on Industrial Engineering and Applications (ICIEA) · doi:10.1109/iciea49774.2020.9101913
Jakubik, T. (2020) · International Conference on Applied Electronics · doi:10.23919/ae49394.2020.9232712
Aprovisionamiento ágil – Clasificación de malware – Optimización Giraph
Icesi, U., Manzanares, J. F. G., de la Cruz, Á. P., Icesi, U., García, S. F. L., Icesi, U., Andres Navarro, C., Icesi, U., César, L., Tamura, G., et al. (2020) · Editorial Universidad Icesi eBooks · doi:10.18046/eui/bm.7.2020
Detection of unintended configuration changes in continuous deployment pipelines
Günthör, J. (2018) · OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · doi:10.18419/opus-10189
Research Findings in the Domain of Agile Methodologies
Kumar, T. (2021) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-7998-7367-9.ch005
Towards Knowledge Organization EcosystemsPreprint
Bagchi, M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.10923
Development and Evolution of Agile – Changes in a World of Change
Marlowe, T. J., Kirova, V. D., Chang, G., Hashmi, O., & Masticola, S. P. (2020) · DOAJ (DOAJ: Directory of Open Access Journals)
Dorninger, B., & Ziebermayr, T. (2021) · e+i Elektrotechnik und Informationstechnik · doi:10.1007/s00502-021-00917-x
Towards a Theory on Architecting for Continuous DeploymentPreprint
de França, B. B. N., dos Santos, P. S. M., & Matalonga, S. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.09571 · Cited by 2
Huber, F., & Hagel, G. (2021) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.23919/mipro52101.2021.9597101
Using sequential drift detection to test the API economyPreprint
Ackerman, S., Dube, P., & Farchi, E. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.05136
Metadata
- Authors
- Shahin, M., Ali Babar, M., & Zhu, L.
- Affiliations
- The University of Adelaide (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Venue
- IEEE Access
- Published
- 2017
- Volume
- 5
- Pages
- 3909-3943
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2603119212
- Cited by
- 680
- References
- 47
- Citations by year
- 2026: 86 · 2025: 111 · 2024: 89 · 2023: 97 · 2022: 89 · 2021: 83 · 2020: 49 · 2019: 38 · 2018: 33 · 2017: 5
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- arXiv (Cornell University) (acceptedVersion)
- RMIT Research Repository (RMIT University Library) (acceptedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- Data61, a business unit of CSIRO, Australia
- Australian Government Research Training Program Scholarship
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Keywords
- continuous integration, continuous delivery, continuous deployment, continuous practice, deployment pipelines, scalability, barriers to adoption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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