AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization
Managing the System Development Lifecycle (SDLC) is a complex task because of its involvement in coordinating diverse activities, stakeholders, and resources while ensuring project goals are met efficiently. The complex nature of the SDLC process leaves plenty of scope for human error, which impacts...
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IEEE
2024-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10804767/ |
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| author | Nuruzzaman Faruqui Priyabrata Thatoi Rohit Choudhary Ivana Roncevic Hamed Alqahtani Iqbal H. Sarker Shapla Khanam |
| author_facet | Nuruzzaman Faruqui Priyabrata Thatoi Rohit Choudhary Ivana Roncevic Hamed Alqahtani Iqbal H. Sarker Shapla Khanam |
| author_sort | Nuruzzaman Faruqui |
| collection | DOAJ |
| description | Managing the System Development Lifecycle (SDLC) is a complex task because of its involvement in coordinating diverse activities, stakeholders, and resources while ensuring project goals are met efficiently. The complex nature of the SDLC process leaves plenty of scope for human error, which impacts the overall business cost. This paper introduces AI-Analyst, an AI-assisted framework developed using the transformer-based model with more than 150 million parameters to assist with SDLC management. It minimizes manual effort errors, optimizes resource allocation, and improves decision-making processes, resulting in substantial cost savings. The statistical analysis shows that it saves around 53.33% of costs in an experimental project. The transformer model has been trained with a uniquely prepared dataset tailored for SDLC through transfer learning. It achieved impressive results, with an accuracy of 91.5%, precision of 91.9%, recall of 91.3%, and an F1-score of 91.5%, demonstrating its high reliability and performance. The perplexity score of 15 further indicates the model’s strong language understanding capabilities to retrieve relations from complex characteristics of Natural Language Processing (NLP). The AI-Analyst framework represents a significant advancement in integrating Large Language Models (LLMs) into SDLC, offering a scalable and cost-effective solution for optimizing business processes. |
| format | Article |
| id | doaj-art-84c1700c7a4640298f56ea0fdf883fb8 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-84c1700c7a4640298f56ea0fdf883fb82025-08-20T02:01:30ZengIEEEIEEE Access2169-35362024-01-011219518819520310.1109/ACCESS.2024.351942310804767AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost OptimizationNuruzzaman Faruqui0https://orcid.org/0000-0001-9306-9637Priyabrata Thatoi1https://orcid.org/0009-0009-5994-2637Rohit Choudhary2Ivana Roncevic3https://orcid.org/0000-0002-9373-0023Hamed Alqahtani4https://orcid.org/0000-0002-6427-7768Iqbal H. Sarker5https://orcid.org/0000-0003-1740-5517Shapla Khanam6https://orcid.org/0000-0003-4012-086XDepartment of Software Engineering, Daffodil International University, Daffodil Smart City, Dhaka, BangladeshAmazon, Chicago, IL, USAAmazon, Dallas, TX, USADepartment of Linguistics and Translation, Applied Linguistics Research Laboratory, Prince Sultan University, Riyadh, Saudi ArabiaInformatics and Computer Systems Department, Center of Artificial Intelligence, College of Computer Science, King Khalid University, Abha, Saudi ArabiaCentre for Securing Digital Futures, School of Science, Edith Cowan University, Perth, WA, AustraliaFaculty of Computing and Digital Technology, HELP University, Kuala Lumpur, MalaysiaManaging the System Development Lifecycle (SDLC) is a complex task because of its involvement in coordinating diverse activities, stakeholders, and resources while ensuring project goals are met efficiently. The complex nature of the SDLC process leaves plenty of scope for human error, which impacts the overall business cost. This paper introduces AI-Analyst, an AI-assisted framework developed using the transformer-based model with more than 150 million parameters to assist with SDLC management. It minimizes manual effort errors, optimizes resource allocation, and improves decision-making processes, resulting in substantial cost savings. The statistical analysis shows that it saves around 53.33% of costs in an experimental project. The transformer model has been trained with a uniquely prepared dataset tailored for SDLC through transfer learning. It achieved impressive results, with an accuracy of 91.5%, precision of 91.9%, recall of 91.3%, and an F1-score of 91.5%, demonstrating its high reliability and performance. The perplexity score of 15 further indicates the model’s strong language understanding capabilities to retrieve relations from complex characteristics of Natural Language Processing (NLP). The AI-Analyst framework represents a significant advancement in integrating Large Language Models (LLMs) into SDLC, offering a scalable and cost-effective solution for optimizing business processes.https://ieeexplore.ieee.org/document/10804767/Transformer modellarge language modelsystem development lifecycletransfer learningartificial intelligencebusiness cost optimization |
| spellingShingle | Nuruzzaman Faruqui Priyabrata Thatoi Rohit Choudhary Ivana Roncevic Hamed Alqahtani Iqbal H. Sarker Shapla Khanam AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization IEEE Access Transformer model large language model system development lifecycle transfer learning artificial intelligence business cost optimization |
| title | AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization |
| title_full | AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization |
| title_fullStr | AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization |
| title_full_unstemmed | AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization |
| title_short | AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization |
| title_sort | ai analyst an ai assisted sdlc analysis framework for business cost optimization |
| topic | Transformer model large language model system development lifecycle transfer learning artificial intelligence business cost optimization |
| url | https://ieeexplore.ieee.org/document/10804767/ |
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