Android development methodologies
Android development methodologies refer to the structured approaches used to plan, execute, and deliver Android applications. Key methodologies include Agile, which promotes iterative development and continuous feedback through frameworks like Scrum and Kanban, allowing teams to adapt to changing requirements efficiently. Waterfall is another traditional methodology that follows a linear progression through distinct phases: requirements, design, implementation, testing, and maintenance, though it can be less flexible to changes. Some developers also use hybrid approaches that combine elements of Agile and Waterfall to benefit from both adaptability and structured phases. Ultimately, choosing the right methodology depends on project scope, team size, and stakeholder involvement, aiming to improve productivity, enhance collaboration, and deliver high-quality apps.
To Download Our Brochure: https://www.justacademy.co/download-brochure-for-free
Message us for more information: +91 9987184296
1 - Waterfall Model: A linear and sequential approach where each phase must be completed before the next begins. It’s straightforward but inflexible to changes.
2) Agile Methodology: Focuses on iterative development, where requirements and solutions evolve through collaboration. Agile encourages adaptive planning and quick response to change.
3) Scrum Framework: A subset of Agile, Scrum divides the project into small units called sprints, usually lasting 2 4 weeks. It emphasizes collaboration, daily stand ups, and retrospective meetings.
4) Kanban Method: Another Agile approach using a visual board to track tasks in various stages of development. It emphasizes continuous delivery without overloading the team.
5) Extreme Programming (XP): An Agile methodology that emphasizes technical practices to enhance software quality and responsiveness to changing customer requirements. Key practices include continuous testing and frequent releases.
6) Feature Driven Development (FDD): An iterative and incremental model that focuses on delivering tangible, working software features. The process is organized into small, well defined features.
7) Rapid Application Development (RAD): Emphasizes quick development and iteration of prototypes, ensuring flexibility and minimizing time spent on lengthy documentation.
8) Lean Software Development: Adapts principles from lean manufacturing, emphasizing value delivery, eliminating waste, and ensuring that every part of the process adds value to the end user.
9) Test Driven Development (TDD): A development process where developers write tests before coding. This helps ensure that the software meets requirements and minimizes bugs.
10) Behavior Driven Development (BDD): An extension of TDD that involves defining behavior driven tests in a natural language style to improve communication among stakeholders.
11) Model Driven Development (MDD): Focuses on creating and exploiting domain models, which are conceptual models to facilitate understanding and design of a software system.
12) Incremental Development: Similar to Agile, this methodology divides the software development process into smaller segments, allowing for incremental progress, continuous feedback, and regular adjustments.
13) Spiral Model: Combines iterative development with the systematic risk assessment of the Waterfall model. It helps manage risks through repeated cycles or spirals of development.
14) Continuous Integration/Continuous Deployment (CI/CD): An approach that emphasizes frequent integration of code changes and immediate deployment, promoting early detection of issues and faster delivery of features.
15) Design Thinking: A methodology focused on user centric design, encouraging teams to develop empathy with the user experience and iterate based on user feedback to create innovative solutions.
16) DevOps Integration: Combines development and operations to enhance collaboration and productivity by automating infrastructure, workflows, and continuously measuring application performance.
These methodologies offer diverse strategies for Android development, each suited for different project types and team dynamics. Understanding these can help shape an effective training program for students eager to enter the field.
Browse our course links : https://www.justacademy.co/all-courses
To Join our FREE DEMO Session: Click Here
Contact Us for more info:
Advantages of TypeScript over JavaScript
I am learning flutter from JustAcademy, They provide very much great environment where people gather and work simultaneously. totally project based training institute.
Awesome Experience. I am a Front-end Web Designer working at Star India for 3 years now. I applied for Full-stack development and my experience has been phenomenal & they really do help with placements exceptionally. Thank you Roshan sir so much.
Flutter app monitoring with Prometheus and Grafana delivers real-time observability by instrumenting the app (via OpenTelemetry or lightweight exporters) to expose metrics that Prometheus scrapes and stores as time-series data. Grafana visualizes those metrics in customizable dashboards and triggers alerts, letting teams track CPU/memory, frame-render times, network latency, error rates and user-impacting regressions. This stack helps quickly detect performance problems, diagnose root causes, and continuously improve app stability and user experience.
Flutter CI with Codemagic is a cloud-first continuous integration and delivery solution that automates building, testing and releasing Flutter apps across iOS, Android and web using configurable workflows (codemagic.yaml), hosted macOS/Linux runners, dependency caching and parallelization. It integrates with GitHub/GitLab/Bitbucket, manages code signing and store publishing, runs unit/widget/integration tests, and generates reproducible artifacts so teams catch regressions early and ship reliably. For learners and professionals working on JustAcademy real-time projects, Codemagic removes the overhead of maintaining CI infrastructure, speeds iteration, and provides a repeatable pipeline for demonstrating and delivering polished app releases.
Using Flutter's Hot UI (hot reload and hot restart) lets developers inject code changes into a running app and see updated layouts, styles and behaviours instantly without losing app state, making it ideal for rapid prototyping. This real-time feedback loop accelerates iteration on widgets, animations and responsive designs, improves collaboration between designers and engineers, and dramatically shortens the path from idea to working MVP.
In 2025, pairing Flutter with Supabase vs Firebase means choosing between an open‑source, Postgres‑first backend and a mature Google serverless platform: Supabase gives Flutter apps SQL‑centric workflows, real‑time subscriptions, row‑level security and lower vendor lock‑in with predictable costs and direct SQL access, while Firebase offers Firestore, Auth, Functions, Analytics, polished SDKs, global scaling and turnkey managed features (offline sync, analytics, A/B testing). Both speed cross‑platform development and real‑time experiences; pick Supabase for relational control and openness, or Firebase for convenience and a broader managed ecosystem.
In 2025, Flutter and NativeScript are both mature cross-platform frameworks with different strengths: Flutter (Dart) compiles to native code and provides a rich, cohesive widget-driven UI, excellent performance, and consistent look across mobile, web and desktop, making it ideal for visually complex apps and teams that want a single expressive UI layer; NativeScript (TypeScript/JavaScript) maps directly to native UI components and gives seamless access to platform APIs, appealing to teams with strong JS/TS skills who need native look-and-feel and tight platform integration—choose Flutter for unified UI control and performance, NativeScript for native parity and easier reuse of web/JS expertise.
Flutter CI/CD with GitHub Actions is a complete tutorial-style guide that shows how to automate building, testing, signing, and deploying Flutter apps using GitHub’s workflow runner; it covers creating YAML workflows to run platform-specific builds (Android/iOS), caching dependencies, running unit/widget/integration tests, managing secrets and code signing, generating artifacts, and releasing to stores or distribution channels. By following the tutorial, developers and JustAcademy learners can enforce consistent quality, catch regressions early, speed up delivery of real-time projects, and adopt industry-standard DevOps practices that make app releases reproducible and reliable.
AI-generated UI in Flutter uses machine learning to convert design files or natural-language prompts into responsive Dart widgets, automating layout, styling, accessibility and cross-platform tweaks so prototypes and production-ready screens can be produced far faster with fewer manual edits; this streamlines collaboration between designers and developers, lets teams focus on business logic and performance, and—as models and tooling improve—will become a core part of development workflows, accelerating app delivery and hands-on learning for learners and professionals at JustAcademy.
Optimizing network calls in Flutter with Dio means using Dio’s rich HTTP client features—centralized configuration and interceptors for headers, auth, logging and error handling; request cancellation, timeouts and concurrency control; retry strategies (exponential backoff); and response caching/compression—to reduce latency, save bandwidth and improve reliability. By encapsulating API logic in a configured Dio instance, applying retries and backoff, caching frequent responses, and handling errors consistently, apps become faster, more resilient and easier to maintain—especially important for real-time project work and production-ready certifications like those at JustAcademy.
JustAcademy’s "Deploy Flutter to Firebase: A Step-by-Step Tutorial" is a concise guide that walks you through preparing a Flutter app, configuring Firebase services (Authentication, Firestore, Hosting), and using the Firebase CLI to build and deploy your app—covering both web hosting and integration for Android/iOS where relevant. It explains creating a Firebase project, adding platform-specific Firebase SDKs, adjusting app settings, running production builds, initializing Firebase Hosting, and performing the final deploy, with tips for testing and automating releases via CI/CD. By following the tutorial, developers get a practical, end-to-end workflow to ship scalable, real-time Flutter apps quickly and reliably.
Flutter Desktop keyboard shortcuts let you define and handle platform-consistent key bindings (like Ctrl/Cmd combinations) to trigger app commands without a mouse. Using Flutter’s Shortcuts, Actions, and Intents APIs (or lower-level RawKeyboard events), you map logical key sets to intent objects and implement actions that run when those intents are invoked, while respecting focus and accessibility so shortcuts work predictably across Windows, macOS, and Linux.
