Software Architecture Documentation - Guidelines and Tools: Studying guidelines and tools for documenting software architecture effectively to facilitate communication and decision-making

Authors

  • Dr. Mikhail Ivanov Lecturer, Software Quality Management Department, Moscow Institute of Physics and Technology, Russia Author

Keywords:

Software Architecture, Documentation, Guidelines, Tools, Communication, Decision-making, Best Practices, Challenges, Strategies

Abstract

Software architecture documentation plays a crucial role in the development and maintenance of software systems. It serves as a blueprint that helps stakeholders understand the system's structure, behavior, and interactions. Effective documentation is essential for communication, decision-making, and ensuring the system meets its requirements. This paper examines guidelines and tools for documenting software architecture, focusing on best practices for creating comprehensive and understandable documentation. It also discusses the challenges associated with software architecture documentation and suggests strategies for overcoming them. By following these guidelines and utilizing appropriate tools, software development teams can improve the quality of their documentation and ultimately enhance the success of their projects.

Downloads

Download data is not yet available.

References

Alghayadh, Faisal Yousef, et al. "Ubiquitous learning models for 5G communication network utility maximization through utility-based service function chain deployment." Computers in Human Behavior (2024): 108227.

Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.

MURAVEV, M., et al. "HYBRID SOFTWARE DEVELOPMENT METHODS: EVOLUTION AND THE CHALLENGE OF INFORMATION SYSTEMS AUDITING." Journal of the Balkan Tribological Association 29.4 (2023).

Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.

Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).

Kulkarni, Chaitanya, et al. "Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer." BMC Medical Informatics and Decision Making 24.1 (2024): 92.

Raparthi, Mohan, Sarath Babu Dodda, and SriHari Maruthi. "Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks." European Economic Letters (EEL) 10.1 (2020).

Dutta, Ashit Kumar, et al. "Deep learning-based multi-head self-attention model for human epilepsy identification from EEG signal for biomedical traits." Multimedia Tools and Applications (2024): 1-23.

Raparthy, Mohan, and Babu Dodda. "Predictive Maintenance in IoT Devices Using Time Series Analysis and Deep Learning." Dandao Xuebao/Journal of Ballistics 35: 01-10.

Kumar, Mungara Kiran, et al. "Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model." Fluctuation and Noise Letters (2023).

Raparthi, Mohan. "Biomedical Text Mining for Drug Discovery Using Natural Language Processing and Deep Learning." Dandao Xuebao/Journal of Ballistics 35

Sati, Madan Mohan, et al. "Two-Area Power System with Automatic Generation Control Utilizing PID Control, FOPID, Particle Swarm Optimization, and Genetic Algorithms." 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, 2024.

Raparthy, Mohan, and Babu Dodda. "Predictive Maintenance in IoT Devices Using Time Series Analysis and Deep Learning." Dandao Xuebao/Journal of Ballistics 35: 01-10.

Pulimamidi, Rahul. "Leveraging IoT Devices for Improved Healthcare Accessibility in Remote Areas: An Exploration of Emerging Trends." Internet of Things and Edge Computing Journal 2.1 (2022): 20-30.

Reddy, Byrapu, and Surendranadha Reddy. "Evaluating The Data Analytics For Finance And Insurance Sectors For Industry 4.0." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3871-3877.

Downloads

Published

2024-05-01

How to Cite

[1]
D. M. Ivanova, “Software Architecture Documentation - Guidelines and Tools: Studying guidelines and tools for documenting software architecture effectively to facilitate communication and decision-making”, J. of Artificial Int. Research and App., vol. 4, no. 1, pp. 82–92, May 2024, Accessed: Jul. 03, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/17

Similar Articles

1-10 of 78

You may also start an advanced similarity search for this article.