
Software Development lifecycle
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- Agent-Oriented Architecture
- Agentic AI Alignment
- Agentic AI for Customer Engagement
- Agentic AI for Decision Support
- Agentic AI for Knowledge Management
- Agentic AI for Predictive Operations
- Agentic AI for Process Optimization
- Agentic AI for Workflow Automation
- Agentic AI Safety
- Agentic AI Strategy
- Agile Development
- Agile Development Methodology
- AI Actionability Layer
- AI Adoption & Strategy
- AI Adoption Framework
- AI Adoption Plans with Milestones
- AI Adoption Process
- AI Adoption Strategies with KPIs
- AI Agents for IT Service Management
- AI Applications
- AI Bias
- AI Change Management
- AI for Compliance Monitoring
- AI for Customer Sentiment Analysis
- AI for Demand Forecasting
- AI for Edge Computing (Edge AI)
- AI for Energy Consumption Optimization
- AI for Predictive Analytics
- AI for Predictive Maintenance
- AI for Real Time Risk Monitoring
- AI for Telecom Network Optimization
- AI Governance
- AI Governance Frameworks
- AI Implementation Approach
- AI Implementation Methodology
- AI in Cybersecurity
- AI in Education
- AI in Entertainment
- AI in Finance
- AI in Healthcare
- AI in Manufacturing
- AI in Marketing
- AI in Public Sector Service Delivery
- AI in Transportation
- AI Orchestration
- AI Performance Measurement (KPIs, ROI)
- AI Policy
- AI Research
- AI Scalability Frameworks
- AI Use-Case Discovery
- AI Use-Case Prioritization
- AI-Driven Business Transformation
- AI-driven cloud-native transformations
- AI-Driven Cybersecurity Solutions
- AI-driven Process Automation
- AI-Driven Supply Chain Optimization
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Artificial Neural Network
- Augmented Reality
- Autonomous AI Agents
- Autonomous Systems
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C
D
E
F
G
H
I
L
M
N
P
Q
R
S
T
V
W
What is Software Development lifecycle?
Software Development lifecycle is a structured process used to design, develop, test, deploy, and maintain software applications. At Xebia, SDLC serves as a foundation for delivering high-quality software solutions aligned with business goals. It includes stages such as requirement gathering, planning, design, development, testing, deployment, and maintenance. Xebia follows modern, agile-aligned SDLC models that integrate DevOps, automation, and continuous feedback loops to accelerate delivery, reduce errors, and ensure scalability. This disciplined approach enables consistent performance, predictable outcomes, and faster time-to-market for clients across industries.
What Are the Key Benefits of Software Development lifecycle?
- Structured and transparent software delivery process
- Early identification of risks and defects
- Better alignment between business and tech teams
- Accelerated time-to-market with agile and DevOps practices
- Continuous improvement through feedback and iteration
What Are Some Software Development lifecycle Use Cases at Xebia?
- Delivering enterprise-grade software using Agile and Scrum methodologies
- Implementing CI/CD pipelines for faster and safer deployments
- Custom software development for fintech, retail, and healthcare clients
- Ongoing support and enhancement of digital platforms post-deployment
- Integrating automated testing and security into development workflows
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