Artificial Intelligence as a Catalyst for Innovation in Software Engineering

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References (47)

[1]
Machine Learning Techniques for Requirements Engineering: A Comprehensive Literature Review
2025A. M. Rosado da Cruz, E. F. Cruz
[2]
Bayesian Prioritization in Product Strategy: Embedding Predictive Analytics into Agile Decision-Making
2025Sandeep Aluvaka
[3]
AI-Driven Decision Support Systems in Agile Software Project Management: Enhancing Risk Mitigation and Resource Allocation
2025S. S. Almalki
[4]
Integrating AI-Driven Automated Code Review in Agile Development: Benefits, Challenges, and Best Practices
2025Saad Ahmed
[5]
Leveraging Artificial Intelligence for Automated Testing and Quality Assurance in Software Development Lifecycles
2024Ikeoluwa Kolawole, Adeola Mercy Osilaja et al.
[6]
A Comprehensive Survey of AI-Driven Advancements and Techniques in Automated Program Repair and Code Generation
2024Avinash Anand, Akshita Gupta et al.
[7]
AI-driven business analytics and decision making
2024Oluwaseun Badmus, Shahab Anas et al.
[8]
Integrating Generative AI into the Software Development Lifecycle: Impacts on Code Quality and Maintenance
2024Ayyappa Sajja, Dheerender Thakur et al.
[9]
AI-Enhanced Project Management Systems for Optimizing Resource Allocation and Risk Mitigation
2024Muhammad Zahaib Nabeel
[10]
Enhancing software development practices with AI insights in high-tech companies
2024Daniel Ajiga, Patrick Azuka Okeleke et al.
[11]
Automatic Test Case Generation For Safety-Critical Software Using Genetic Algorithm
2024Madhusmita Das, D. Pai et al.
[12]
A Systematic Short Review of Machine Learning and Artificial Intelligence Integration in Current Project Management Techniques
2024H. Sarwar, Mizanur Rahman
[13]
AI-based Code Generation: Achievements and Open Problems
2024G. Bavota
[14]
Automatic user story generation: a comprehensive systematic literature review
2024Carlos Alberto dos Santos, Kévin Bouchard et al.
[15]
Machine learning for requirements engineering (ML4RE): A systematic literature review complemented by practitioners' voices from Stack Overflow
2024Tong Li, Xinran Zhang et al.
[16]
AI-Driven Continuous Integration and Continuous Deployment in Software Engineering
2024Abdul Sajid Mohammed, Venkata Ramana Saddi et al.
[17]
The Evolving Role of Artificial Intelligence in Software Testing: Prospects and Challenges
2024Md. Abul Hayat, Sunriz Islam et al.
[18]
A Survey Paper Review on Advancements in AI Driven User Interface Testing
2024Shital V. Hote
[19]
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[20]
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Showing 20 of 47 references

Founder's Pitch

"This research explores how AI enhances Agile software development by automating tasks and improving responsiveness to changing requirements."

AI in Software EngineeringScore: 4View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

1/4 signals

2.5

Series A Potential

0/4 signals

0

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