Analysis of DevOps Implementation on Project Audit System Development in a Construction Company
Keywords:
Audit System, Construction Company, DevOpsAbstract
This research aims to develop a construction project audit system using DevOps methodology to improve efficiency and accuracy in construction project management. The research stages include Assessment, Plan, Develop, Deliver, Operate, and Evaluation. The results showed that the project audit system was successfully developed and operated for the past two years. System performance evaluation revealed that the average response time of the system was 120 m/s, with system availability reaching 99.8%. The project audit data has an accuracy rate of 99%, which confirms the reliability of the information generated by this system. The data analysis tool performed optimally and generated audit reports in an average of 20 seconds per report. The system contributes positively to addressing challenges in the construction industry by improving efficiency and accuracy in construction project management and audit supervision. Future research can explore the integration of the latest technologies, such as artificial intelligence and cloud computing, in project audit systems and measure their impact on actual construction projects.
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References
S. Divya Sankar and J. Selvam, “Risk Management in Construction Industry,” International Research Journal of Engineering and Technology, 2020, [Online]. Available: www.irjet.net
J. I. Alzahrani and M. W. Emsley, “The impact of contractors ’ attributes on construction project success : A post construction evaluation,” JPMA, vol. 31, no. 2, pp. 313–322, 2013, doi: 10.1016/j.ijproman.2012.06.006.
J. Choi and M. Ha, “Validation of project management information systems for industrial construction projects,” Journal of Asian Architecture and Building Engineering, vol. 21, no. 5, pp. 2046–2057, 2022, doi: 10.1080/13467581.2021.1941999.
S. Rajabi, S. El-Sayegh, and L. Romdhane, “Identification and assessment of sustainability performance indicators for construction projects,” Environmental and Sustainability Indicators, vol. 15, no. June, p. 100193, 2022, doi: 10.1016/j.indic.2022.100193.
A. Khodabakhshian and F. Re Cecconi, “Data-Driven Process Mining Framework for Risk Management in Construction Projects,” in IOP Conference Series: Earth and Environmental Science, Institute of Physics, 2022. doi: 10.1088/1755-1315/1101/3/032023.
O. Taylan, A. O. Bafail, R. M. S. Abdulaal, and M. R. Kabli, “Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies,” Applied Soft Computing Journal, vol. 17, pp. 105–116, 2014, doi: 10.1016/j.asoc.2014.01.003.
A. Serpell and H. Rubio, “Evaluating project management (PM) readiness in construction companies: cases from Chile,” Procedia Comput Sci, vol. 219, pp. 1642–1649, 2023, doi: 10.1016/j.procs.2023.01.457.
J. Gao, “Research on Financial Informatization Construction of Business and Finance Integration,” International Journal of Science and Research (IJSR), vol. 11, no. 7, pp. 354–358, Jul. 2022, doi: 10.21275/sr22704192347.
J. Zhang, J. C. P. Cheng, W. Chen, and K. Chen, “Digital Twins for Construction Sites: Concepts, LoD Definition, and Applications,” Journal of Management in Engineering, vol. 38, no. 2, Mar. 2022, doi: 10.1061/(asce)me.1943-5479.0000948.
B. Hutchinson, S. Dekker, and A. Rae, “Audit masquerade: How audits provide comfort rather than treatment for serious safety problems,” Saf Sci, vol. 169, Jan. 2024, doi: 10.1016/j.ssci.2023.106348.
A. Nalewaik and A. Mills, “Project Performance Audit: Enhanced Protocols for Triple Bottom Line Results,” Procedia Soc Behav Sci, vol. 194, pp. 134–145, Jul. 2015, doi: 10.1016/j.sbspro.2015.06.185.
P. Spudys, A. Jurelionis, and P. Fokaides, “Conducting smart energy audits of buildings with the use of building information modelling,” Energy Build, vol. 285, Apr. 2023, doi: 10.1016/j.enbuild.2023.112884.
F. Almeida, J. Simões, and S. Lopes, “Exploring the Benefits of Combining DevOps and Agile,” Future Internet, vol. 14, no. 2, Feb. 2022, doi: 10.3390/fi14020063.
E. P. Enoiu, D. Truscan, A. Sadovykh, and W. Mallouli, “VeriDevOps Software Methodology: Security Verification and Validation for DevOps Practices,” in ACM International Conference Proceeding Series, Association for Computing Machinery, Aug. 2023. doi: 10.1145/3600160.3605054.
D. Sindhu Battina, “The Challenges And Mitigation Strategies Of Using Devops During Software Development,” 2021. [Online]. Available: Www.Ijcrt.Org
S. R. Dileepkumar and J. Mathew, “Optimize Continuous Integration and Continuous Deployment in Azure DevOps for a controlled Microsoft .NET environment using different techniques and practices,” IOP Conf Ser Mater Sci Eng, vol. 1085, no. 1, p. 012027, Feb. 2021, doi: 10.1088/1757-899x/1085/1/012027.
I. Aliev, S. Gazul, and A. Bobova, “The analysis of changes in the payroll of information system support specialists during the Devops methodology implementing,” in IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing, May 2020. doi: 10.1088/1757-899X/862/4/042039.
J. Lin, “Measuring and analyzing the information entropy value of key Audit matters (KAMs) disclosure at the system and reporting scale,” Heliyon, p. e23255, Dec. 2023, doi: 10.1016/j.heliyon.2023.e23255.
Z. Keken, T. Hanušová, J. Kulendík, L. Wimmerová, J. Zítková, and V. Zdražil, “Environmental impact assessment – The range of activities covered and the potential of linking to post-project auditing,” Environ Impact Assess Rev, vol. 93, Mar. 2022, doi: 10.1016/j.eiar.2021.106726.
O. Kolisnichenko, M. Kolomytsev, and S. Nosok, “Software security risk management in DEVOPS methodology.” [Online]. Available: https://quality-lab.ru/blog/
