TIM-8340 v1

Zahedi, M. H., Kashanaki, A. R., & Farahani, E. (2023). Risk management framework in Agile software development methodology. International Journal of Electrical & Computer Engineering (2088-8708), 13(4), 4379–4387. https://doi.org/10.11591/ijece.v13i4.pp4379-4387
The authors proposed a framework that states the necessary measures for risk management according to the ISO31000 standard at each stage of the Agile methodology.

Pilliang, M., & Munawar. (2022). Risk management in software development projects a systematic literature review. Khazanah Informatika: Jurnal Ilmu Komputer Dan Informatika, 8(2), 118–131. https://doi.org/10.23917/khif.v8i2.17488
This paper takes a systematic approach to reviewing articles containing risk management in software development projects.

Roy, M., Deb, N., Cortesi, A., Chaki, R., & Chaki, N. (2021). Requirement-oriented risk management for incremental software development. Innovations in Systems and Software Engineering: A NASA Journal, 17(3), 187–204. https://doi.org/10.1007/s11334-021-00406-6
The authors discuss incremental software development (ISD) and propose a new risk management framework to address project risks.

Jadhav, A., Kaur, M., & Akter, F. (2022). Evolution of software development effort and cost estimation techniques: Five decades study using automated text mining approach. Mathematical Problems in Engineering, 1–17. https://doi.org/10.1155/2022/5782587
The authors investigate software development effort and cost estimation (SDECE), which is one of the most important tasks in the field of software engineering.

Xie, G., Wu, W., Zeng, G., Li, R., & Hu, S. (2021). Risk assessment and development cost optimization in software defined vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3675–3686. https://doi.org/10.1109/TITS.2020.3027469
This paper explores the cost of software-defined vehicles.

Ahmed, M., Ibrahim, N. B., Nisar, W., Ahmed, A., Junaid, M., Flores, E. S., & Anand, D. (2024). A hybrid model for improving software cost estimation in global software development. Computers, Materials & Continua, 78(1), 1399–1422. https://doi.org/10.32604/cmc.2023.046648
The authors proposed a hybrid model that integrates additional GSD-based cost drivers identified through a systematic literature review and further vetted by industry experts.

Zhou, X., Mao, R., Zhang, H., Dai, Q., Huang, H., Shen, H., Li, J., & Rong, G. (2023). Revisit security in the era of DevOps: An evidence‐based inquiry into DevSecOps industry. IET Software (Wiley-Blackwell), 17(4), 435–454. https://doi.org/10.1049/sfw2.12132
The authors classify the interpretations of DevSecOps into three core aspects of DevSecOps capabilities: cultural enablers, and technological enablers.

Shariq Hussain, S., Anwaar, H., Sultan, K., Mahmud, U., Farooqui, S., Karamat, T., & Kalil Toure, I . K. (2024, February 21). Mitigating software vulnerabilities through secure software development with a policy-driven waterfall model. Journal of Engineering, 2024. https://doi.org/10.1155/2024/9962691
In this paper, the authors propose a policy-driven waterfall model (PDWM) for secure software development describing key points related to security aspects in the software development process.

Siavvas, M., Tsoukalas, D., Kalouptsoglou, I., Manganopoulou, E., Manolis, G., Kehagias, D., & Tzovaras, D. (2023). Security monitoring during software development: An industrial case study. Applied Sciences, 13(12), 6872–6872. https://doi.org/10.3390/app13126872
This paper aims to highlight how cutting-edge security monitoring and optimization mechanisms can be adapted to a dedicated company's needs and used as a blueprint for constructing similar security monitoring platforms and pipelines.

Souppaya, M., Scarfone, K., & Dodson, D. (2022). Secure software development framework (SSDF) version 1.1: Recommendations for mitigating the risk of software vulnerabilities (NIST Special Publication (SP) 800-218). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-218
The NIST 800-218 discusses SDLC best practices.

Kempe, E., & Massey, A. (2021). Regulatory and security standard compliance throughout the software development lifecycle.
The authors perform a literature review to identify and discuss published regulatory and compliance in SDLC.

Booth, H., Souppaya, M., Vassilev, A., Ogata, M., Stanley, M., & Scarfone, K. (2024). Secure software development practices for generative ai and dual-use foundation models: An SSDF community profile (NIST Special Publication (SP) 800-218A). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-218A
NIST addressed the emergent technology of Generative AI in the software life cycle.

Sodhi, B., & Kapur, R. (2021). Quantum computing platforms: Assessing the impact on quality attributes and SDLC activities. 2021 IEEE 18th International Conference on Software Architecture (ICSA), 80–91. https://doi.org/10.1109/ICSA51549.2021.00016
The authors discuss the impact of quantum computing platform (QCP) in software development.