FOBICS: Assessing project security level through a metrics framework that evaluates DevSecOps performance
Open accessAbstract
In today’s software development landscape, the DevSecOps approach has gained traction due to its focus on the software development process and bolstering security measures in projects, a task in light of the ever-evolving cybersecurity threats. This study aims to address the lack of metrics for quantitatively assessing its efficacy from both security and business logic perspectives. To tackle this issue, the research introduces the Framework of Business Index Concerning Security (FOBICS), a set of metrics designed to enable transparent evaluations of project security. FOBICS considers various perspectives relevant to DevSecOps practices. It includes factors such as project duration and financial outcomes, making it appealing for implementation in business settings. The effectiveness of FOBICS is validated theoretically and empirically via its application in two real-world projects: the results from these implementations show a correlation between FOBICS metrics and the security strategies employed as the development methodologies adopted by diverse teams throughout the projects. Hence, FOBICS emerges as a tool for assessing and continuously monitoring project security, offering insights into areas of strength and areas that may require enhancement. FOBICS is shown to be effective in assessing the level of DevSecOps implementation. The ease of calculating FOBICS metrics makes them easily interpretable and continuously verifiable. Moreover, FOBICS summarizes most of the other quantitative and qualitative metrics in the literature. • DevSecOps challenges were analysed to identify metrics to assess project performance • A framework of metrics is proposed. The degree of Security and Testing is evaluated • FOBICS is compared with other metrics, showing how it can summarize many of them • The framework is applied to two real projects and the values obtained are evaluated
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Caniglia et al. [44] propose the Framework of Business Index Concerning Security (FOBICS) to assess security and testing practices while factoring in project duration and financial outcomes.
“Caniglia et al. [44] investigate the challenges of implementing DevSecOps by proposing a set of metrics aimed at evaluating project performance, culminating in the introduction of the Framework of Business Index Concerning Security (FOBICS).This framework is designed to assess both security and testing practices while factoring in project duration and financial outcomes, thereby enabling organisat”
From Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review (2025) · cites this paper as [44]
A notable gap in FOBICS is its limited guidance on the operationalisation and continuous improvement of security practices over time.
“A notable gap in FOBICS is its limited guidance on the operationalisation and continuous improvement of security practices over time.”
From Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review (2025) · cites this paper as [44]
The authors validate FOBICS through its application in two real-world projects, demonstrating a positive correlation between FOBICS-derived metrics and the effectiveness of implemented security strategies.
“The authors validate FOBICS through its application in two realworld projects, demonstrating a positive correlation between FOBICS-derived metrics and the effectiveness of implemented security strategies.”
From Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review (2025) · cites this paper as [44]
FOBICS does not sufficiently address how organisations can adapt the metrics in response to emerging security challenges, changes in technology stacks, or shifts in regulatory requirements.
“The framework does not sufficiently address how organisations can adapt the metrics in response to emerging security challenges, changes in technology stacks, or shifts in regulatory requirements.”
From Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review (2025) · cites this paper as [44]
FOBICS lacks explicit mechanisms for integrating feedback from security incidents or post-mortem analyses.
“Furthermore, FOBICS lacks explicit mechanisms for integrating feedback from security incidents or post-mortem analyses, which are essential for iterative enhancement of security posture in dynamic development environments.”
From Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review (2025) · cites this paper as [44]
Cites
Journal of Physics: Conference Series
Jui, J. J., Mohd Helmi, S., Mohd Riduwan, G., Mohd Ashraf, A., & Mohd Zaidi, M. T. (2013) · Journal of Physics Conference Series · doi:10.1088/issn.1742-6596 · Cited by 15,799 · see citing works
Container Security: Issues, Challenges, and the Road Ahead
Sultan, S., Ahmad, I., & Dimitriou, T. D. (2019) · IEEE Access · doi:10.1109/access.2019.2911732 · Cited by 350 · see citing works
Software project risks and their effect on outcomes
Wallace, L. G., & Keil, M. (2004) · Communications of the ACM · doi:10.1145/975817.975819 · Cited by 298 · see citing works
International conference on computing, networking and communications 2015
Nauchi, Y., Takezawa, H., & Tonoike, K. (2016) · Journal of the Atomic Energy Society of Japan · doi:10.3327/jaesjb.58.4_247 · Cited by 258 · see citing works
Challenges and solutions when adopting DevSecOps: A systematic review
Rajapakse, R. N., Zahedi, M., Babar, M. A., & Shen, H. (2022) · Information and Software Technology · doi:10.1016/j.infsof.2021.106700 · Cited by 235 · see citing works
DevSecOps: A Multivocal Literature Review
Myrbakken, H., & Colomo-Palacios, R. (2017) · Communications in Computer and Information Science · doi:10.1007/978-3-319-67383-7_2 · Cited by 205 · see citing works
A Nonlinear Factor Analysis of S&P 500 Index Option Returns
JONES, C. S. (2006) · The Journal of Finance · doi:10.1111/j.1540-6261.2006.01059.x · Cited by 170 · see citing works
Toward successful DevSecOps in software development organizations: A decision-making framework
Akbar, M. A., Smolander, K., Mahmood, S., & Alsanad, A. (2022) · Information and Software Technology · doi:10.1016/j.infsof.2022.106894 · Cited by 128 · see citing works
Verner, J. M., & Tate, G. (1992) · IEEE Transactions on Software Engineering · doi:10.1109/32.129216 · Cited by 101 · see citing works
Kumar, R., & Goyal, R. (2020) · Computers & Security · doi:10.1016/j.cose.2020.101967 · Cited by 97 · see citing works
Critical Challenges to Adopt DevOps Culture in Software Organizations: A Systematic Review
Khan, M. S., Khan, A. W., Khan, F. N., Khan, M. A., & Whangbo, T. K. (2022) · IEEE Access · doi:10.1109/access.2022.3145970 · Cited by 92 · see citing works
Holvitie, J., Licorish, S. A., Spinola, R. O., Hyrynsalmi, S., MacDonell, S. G., Mendes, T. S., Buchan, J., & Leppänen, V. (2017) · Information and Software Technology · doi:10.1016/j.infsof.2017.11.015 · Cited by 87 · see citing works
Continuous practices and devops: beyond the buzz, what does it all mean?
Ståhl, D., Mårtensson, T., & Bosch, J. (2017) · Euromicro Conference on Software Engineering and Advanced Applications (SEAA) · doi:10.1109/seaa.2017.8114695 · Cited by 87 · see citing works
Docker Container Security in Cloud Computing
Brady, K., Moon, S., Nguyen, T. D., & Coffman, J. (2020) · IEEE Annual Computing and Communication Workshop and Conference (CCWC) · doi:10.1109/ccwc47524.2020.9031195 · Cited by 73 · see citing works
Do scaling agile frameworks address global software development risks? An empirical study
Beecham, S., Clear, T., Lal, R., & Noll, J. (2020) · Journal of Systems and Software · doi:10.1016/j.jss.2020.110823 · Cited by 71 · see citing works
An Empirical Study on Culture, Automation, Measurement, and Sharing of DevSecOps
Tomas, N., Li, J., & Huang, H. (2019) · 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security) · doi:10.1109/cybersecpods.2019.8884935 · Cited by 66 · see citing works
Self-Service Cybersecurity Monitoring as Enabler for DevSecOps
Díaz, J., Pérez, J., Peña, M. Á. L., Mena, G. A., & Yagüe, A. (2019) · IEEE Access · doi:10.1109/access.2019.2930000 · Cited by 64 · see citing works
Software Product Quality Metrics: A Systematic Mapping Study
Colakoglu, F. N., Yazıcı, A., & Mishra, A. (2021) · IEEE Access · doi:10.1109/access.2021.3054730 · Cited by 48 · see citing works
Bahaa, A., Abdelaziz, A., Sayed, A., Elfangary, L., & Fahmy, H. (2021) · Information · doi:10.3390/info12040154 · Cited by 48 · see citing works
Prates, L., Faustino, J., Silva, M., & Pereira, R. (2019) · Lecture Notes in Business Information Processing · doi:10.1007/978-3-030-29608-7_7 · Cited by 45 · see citing works
Toward Successful DevOps: A Decision-Making Framework
Akbar, M. A., Rafi, S., Alsanad, A. A., Qadri, S. F., Alsanad, A., & Alothaim, A. (2022) · IEEE Access · doi:10.1109/access.2022.3174094 · Cited by 41 · see citing works
Identifying the primary dimensions of DevSecOps: A multi-vocal literature review
Zhao, X., Clear, T., & Lal, R. (2024) · Journal of Systems and Software · doi:10.1016/j.jss.2024.112063 · Cited by 40 · see citing works
2005 Annual Reliability and Maintainability Symposium
(2005) · Annual Reliability and Maintainability Symposium (RAMS) · doi:10.1109/rams.2005.1408319 · Cited by 36 · see citing works
Software defect prediction using hybrid techniques: a systematic literature review
Malhotra, R., Chawla, S., & Sharma, A. (2023) · Soft Computing · doi:10.1007/s00500-022-07738-w · Cited by 35 · see citing works
From theory to practice: Understanding DevOps culture and mindset
Jha, A. V., Teri, R., Verma, S., Tarafder, S., Bhowmik, W., Mishra, S. K., Appasani, B., Srinivasulu, A., & Nsengiyumva, P. (2023) · Cogent Engineering · doi:10.1080/23311916.2023.2251758 · Cited by 35 · see citing works
Mohan, V., Othmane, L. B., & Kres, A. (2018) · IEEE Cybersecurity Development (SecDev) · doi:10.1109/secdev.2018.00011 · Cited by 34 · see citing works
Licorish, S. A., & MacDonell, S. G. (2017) · Information and Software Technology · doi:10.1016/j.infsof.2017.12.005 · Cited by 28 · see citing works
DevSecOps: A Security Model for Infrastructure as Code Over the Cloud
Ibrahim, A. A., Yousef, A. H., & Medhat, W. (2022) · International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) · doi:10.1109/miucc55081.2022.9781709 · Cited by 27 · see citing works
Revisiting process versus product metrics: a large scale analysis
Majumder, S., Mody, P., & Menzies, T. (2022) · Empirical Software Engineering · doi:10.1007/s10664-021-10068-4 · Cited by 26 · see citing works
A Review and Analysis of Software Complexity Metrics in Structural Testing
Debbarma, M. K., Debbarma, S., Debbarma, N., Chakma, K., & Jamatia, A. (2013) · International Journal of Computer and Communication Engineering · doi:10.7763/ijcce.2013.v2.154 · Cited by 25 · see citing works
Measuring Software Modularity Based on Software Networks
Xiang, Y., Pan, W., Jiang, H., Zhu, Y., & Li, H. (2019) · Entropy · doi:10.3390/e21040344 · Cited by 21 · see citing works
Continuous Deployment of Trustworthy Smart IoT Systems.
Ferry, N., Nguyen, P. H., Song, H., Rios, E., Iturbe, E., Martinez, S., & Rego, A. (2020) · The Journal of Object Technology · doi:10.5381/jot.2020.19.2.a16 · Cited by 20 · see citing works
A systems-of-systems security framework for requirements definition in cloud environment
Carturan, S. B. O. G., & Goya, D. (2019) · European Conference on Software Architecture · doi:10.1145/3344948.3344977 · Cited by 18 · see citing works
DevSecOps PRACTICES FOR AN AGILE AND SECURE IT SERVICE MANAGEMENT
(2019) · HAL · Cited by 17 · see citing works
Best Practices for Ensuring Security in DevOps: A Case Study Approach
Desai, R., & Nisha, T. N. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1964/4/042045 · Cited by 16 · see citing works
DevSecOps In Embedded Systems: An Empirical Study Of Past Literature
Yaşar, H., & Teplov, S. E. (2022) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3538969.3544451 · Cited by 15 · see citing works
Ahmadvand, M., Pretschner, A., Ball, K., & Eyring, D. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-04771-9_43 · Cited by 14 · see citing works
Building a virtually air-gapped secure environment in AWS
Zheng, E., Gates-Idem, P., & Lavin, M. (2018) · doi:10.1145/3190619.3190642 · Cited by 11 · see citing works
Dealing with Security in a Real DevOps Environment
Larrucea, X., Berreteaga, A., & Santamaría, I. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-28005-5_35 · Cited by 11 · see citing works
Model to reduce DevOps pipeline execution time using SAST
Saurabh, S. K., & Kumar, D. (2024) · International Journal of System Assurance Engineering and Management · doi:10.1007/s13198-024-02262-6 · Cited by 10 · see citing works
Compliance at Velocity within a DevOps Environment
Abrahams, M. Z., & Langerman, J. (2018) · doi:10.1109/icdim.2018.8847007 · Cited by 9 · see citing works
Andru, P., & Botchkarev, A. (2011) · E-LIS Repository (University of Naples Federico II) · Cited by 8 · see citing works
Theoretical and Empirical Validation of Coupling Metrics for Object-Oriented Data Warehouse Design
Aggarwal, G., Sabharwal, S., & Nagpal, S. (2017) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-017-2692-y · Cited by 7 · see citing works
DEVSECOPS METHODOLOGY FOR NG-IOT ECOSYSTEM DEVELOPMENT LIFECYCLE – ASSIST-IOT PERSPECTIVE
Paprzycki, M., Ganzha, M., Wasielewska, K., & Lewandowski, P. (2021) · Journal of Computer Science and Cybernetics · doi:10.15625/1813-9663/37/3/16245 · Cited by 7 · see citing works
Nedeltcheva, G. N., Ruiz, A. E. D. L. F., Orue-Echevarria, L., Bat, N., & Blasi, L. (2022) · IEEE International Conference on Software Architecture Companion (ICSA-C) · doi:10.1109/icsa-c54293.2022.00048 · Cited by 7 · see citing works
Security Assurance in DevOps Methodologies and Related Environments
Siewruk, G., Mazurczyk, W., & Karpiński, A. (2019) · International Journal of Electronics and Telecommunications · doi:10.24425/ijet.2019.126303 · Cited by 6 · see citing works
Securing DevOps : detection of vulnerabilities in CD pipelines
Paule, C. (2018) · OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · doi:10.18419/opus-10029 · Cited by 5 · see citing works
Li, T., & Zalialetdzinau, K. (2022) · Futurity Education · doi:10.57125/fed.2022.25.12.06 · Cited by 4 · see citing works
Security Vulnerabilities in Infrastructure as Code: What, How Many, and Who?Preprint
War, A., Habib, A., Diallo, A., Klein, J., & Bissyandé, T. F. (2023) · Research Square · doi:10.21203/rs.3.rs-3600645/v1 · Cited by 4 · see citing works
Quantifying the Impact of Staged Rollout Policies on Software Process and Product Metrics
Chen, K., Faddi, Z., Nagaraju, V., & Fiondella, L. (2022) · Annual Reliability and Maintainability Symposium (RAMS) · doi:10.1109/rams51457.2022.9894011 · Cited by 4 · see citing works
Security Requirements Analysis – A Vision for an Automated Toolchain
Atighetchi, M., Simidchieva, B. I., & Olejnik, K. (2019) · IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) · doi:10.1109/qrs-c.2019.00031 · Cited by 4 · see citing works
Application Security Review Criteria for DevSecOps Processes
Heilmann, J. (2020) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 3 · see citing works
DevSecOps PRACTICES FOR AN AGILE AND SECURE IT SERVICE MANAGEMENT
Zaydi, & Nassereddine (2020) · Academy of Information and Management Sciences journal · Cited by 1 · see citing works
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Khan, H. U., Khan, R. A., Alwageed, H. S., Almagrabi, A. O., Ayouni, S., & Maddeh, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-97204-y · Cited by 34 · see citing works
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Nagasundari, S., Manja, P., Mathur, P., & Honnavalli, P. B. (2025) · IEEE Access · doi:10.1109/access.2025.3547932 · Cited by 12 · see citing works
Khadem, E. A., & Movaghar, A. (2025) · Array · doi:10.1016/j.array.2025.100547 · Cited by 10 · see citing works
Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review
Mohammed, K., Shanmugam, B., & El-Den, J. (2025) · Technologies · doi:10.3390/technologies13120548 · Cited by 8 · see citing works
Toward a Robust and Enhanced DevSecOps Framework
Ramos, R. C. B., & Yoo, S. G. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-08366-1_28 · Cited by 3 · see citing works
Awan, M., Alam, A., Khan, R. A., Alwageed, H. S., Ayouni, S., & Almagrabi, A. O. (2026) · Scientific Reports · doi:10.1038/s41598-026-37614-8 · Cited by 2 · see citing works
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Hashimi, H. A. (2025) · Journal of Software Evolution and Process · doi:10.1002/smr.70075 · Cited by 1 · see citing works
Alamer, R., & Alharbi, O. M. (2025) · International Journal of Computations Information and Manufacturing (IJCIM) · doi:10.54489/ijcim.v5i2.565 · Cited by 1 · see citing works
Analysis the Security Level of End Devices in a ZigBee Network
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Усов, В. (2026) · Věda a perspektivy · doi:10.52058/2695-1592-2026-2(57)-254-273
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Guyong, J. A., Balaybay, R. M., Macario, J. M., Pangan, E. J., & Clemente, J. R. D. (2025) · World Symposium on Software Engineering (WSSE) · doi:10.1145/3779657.3779664
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Yarava, A. R., Prasad, A., Rastogi, A., Verma, A. K., Anugula, P., & Singh, H. (2026) · International Conference on Integrated Intelligence and Communication Systems (ICIICS) · doi:10.1109/iciics67880.2026.11483403
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- Authors
- Caniglia, A., Dentamaro, V., Galantucci, S., & Impedovo, D.
- Affiliations
- University of Bari Aldo Moro (IT)
- Corresponding author
- Galantucci, Stefano
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2025-02
- Volume
- 178
- Pages
- 107605
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W4403710955
- Cited by
- 18
- References
- 55
- Citations by year
- 2026: 9 · 2025: 9
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Information and Software Technology (publishedVersion, cc-by-nc-nd)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion, cc-by-nc-nd)
- Funders
- European Commission (H93C22000620001, PE0000014)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Information Systems › Web Application Security Vulnerabilities
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- DevSecOps, security metrics, security performance evaluation, software security, security testing, security maturity, software development projects
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