infinityengi

One-line: A systems-engineering toolkit and learning hub that demonstrates practical V-Model workflows, tooling, and reproducible case studies for automotive embedded and autonomous systems.

Summary: This repo collects learning material, code, firmware, tests, and case studies so recruiters, engineers, and students can quickly assess V-Model expertise. It focuses on automotive contexts (ISO 26262, AUTOSAR, HIL/SIL) and provides a step-by-step learning plan, tooling matrix, and hands-on artifacts (e.g., a Lane-Keep-Assist case study) mapped explicitly to V-Model phases.

---

TL;DR (for recruiters)

• Demonstrable V-Model expertise — end-to-end artifacts (requirements → models → code → tests → validation).
• Practical learning path — structured week-by-week plan for students and junior engineers.
• Evidence-first case study — lane-keep-assist example with traceability and test artifacts.

---

Table of Contents

• At a glance
• Visual V-Model
• Quick phase blurbs
• Key resources (curated)
• Tooling matrix
• How to navigate this repo
• Learning plan
• Contributing & PR checklist
• License & Code of Conduct

---

At a glance

• 📚 Knowledge: docs/v-model-overview.md — in-depth V-Model, industry practice, pros/cons, tips.
• 🧪 Case studies: case-studies/lane-keep-assist/ — requirements, models, code, unit & integration tests, CI.
• ⚙️ Code & firmware: code/firmware/ — example modules with unit tests.
• 🧭 Learning plan: learning-plan/README.md — structured 8-week curriculum (Beginner → Practitioner).
• 🔧 Tooling & resources: curated table below; links to open & widely used industry tools.

---

Visual V-Model

Alt: V-model diagram showing left-side definition (requirements → architecture → module design) and right-side verification/validation (unit tests → integration → acceptance).

---

Quick phase blurbs

• Requirements — Translate stakeholder goals into clear, testable system requirements.
• System Architecture — Decompose the system into modules and interfaces to meet requirements.
• Detailed Design — Specify internal behaviour and interfaces for each module.
• Implementation — Deliver working code/firmware following the design.
• Unit Testing — Verify each module satisfies its design.
• Integration Testing — Verify interactions between modules and subsystems.
• System Verification — Confirm full system meets system requirements.
• Validation / Acceptance — Verify solution meets stakeholder/user needs in real conditions.

(For full details see docs/v-model-overview.md)

---

Key resources (curated)

Short list of curated resources (open-first). See docs/ for a larger catalog.

Topic	Resource	Why it helps
V-Model primer	eInfochips – V-Model in Automotive	Auto-focused V-Model primer (2025 update).
MBD + ISO 26262	MathWorks — Simulink for ISO 26262	Official MathWorks guidance on MBD and ISO 26262 workflows.
Simulator (SIL/HIL)	CARLA Simulator (GitHub)	Open-source driving simulator for scenario-based testing (MIT).
Reproducible case (vision)	advanced_lane_detection (GitHub)	Udacity-style lane detection pipeline (Python/OpenCV).
Simulink example	Simscape BEV Model (MathWorks GitHub)	Vehicle dynamics & drive-cycle simulation (BSD-3).
HIL framework	atopile/hil (GitHub)	Python open HIL testing framework (MIT).
AUTOSAR overview	Autoware / Autoware Foundation	Open autonomy stack and industry practices.

---

Tooling matrix

Tool	Purpose	License / Cost	Recommended use
Git / GitHub	Version control, PRs	OSS / Free tiers	All code & artifact versioning
GitHub Actions	CI/CD	Free / Paid tiers	Run unit tests, lint, link checks
Python / OpenCV / PyTorch	Vision / ML / testing	OSS	Prototyping perception and ML components
CARLA	Virtual driving simulator	MIT	SIL scenario testing, dataset generation
MATLAB / Simulink	Model-based design and codegen	Commercial (student licenses available)	System modeling, MIL/SIL, code gen
Vector CANoe / dSPACE	Bus analysis / HIL	Commercial	Industry HIL & bus testing (awareness)
Docker	Containerized test environments	OSS	Reproducible dev environments
QEMU	Virtual ECU testing	OSS	Emulate embedded targets for SIL

---

How to navigate this repo

1. Read this README.md for a fast overview.
2. Dive into docs/v-model-overview.md for detailed theory and practical tips.
3. Follow learning-plan/README.md for the 8-week hands-on curriculum.
4. Explore case-studies/lane-keep-assist/ to see how artifacts map to V-Model phases.
5. Inspect code/firmware/, tests/unit/, and scripts/ for runnable examples and CI.

---

Quick start — clone & view

git clone https://github.com/<your-org>/infinityengi.git
cd infinityengi
# Preview docs locally (optional): use VS Code or GitHub preview


# 1) What is the V-Model (in automotive)

* Lifecycle that pairs **development (left side)** with **verification & validation (right side)**:

  * Left: stakeholder → system → functional → detailed design → implementation
  * Right: unit → integration → system → acceptance testing
* Key principles:

  * **Traceability**: every requirement traced to design, code and tests
  * **Mirror verification**: each design activity has a corresponding verification activity
  * Used extensively where safety, audits and regulatory evidence matter (OEMs, suppliers)

---

# 2) Standards & concepts to know

* **ISO 26262** — functional safety lifecycle and ASILs (safety classification)
* **Automotive SPICE (ASPICE)** — process reference & assessment model
* **Model-Based Design (MBD)** — Simulink/Stateflow → simulation → auto code generation
* **MISRA C, static analysis** — safe coding & verification practices
* **Test levels**: MIL / SIL / PIL / HIL — progressive verification from models to real hardware
* **AUTOSAR** — common architecture for automotive ECUs (classic / adaptive)

---

# 3) High-level flow / how a V-model project runs

* Item / stakeholder requirements → system requirements → architecture → functional design → detailed design → implementation
* Then reverse: unit test → module/integration test → system test → validation/acceptance
* Constant activities: requirements management, configuration management, traceability, change control, verification evidence capture

---

# 4) Tools & where they fit (common professional stack)

* **Requirements & ALM**

  * IBM DOORS, Polarion, Jama — requirements, baselines, traceability
  * Jira / Azure DevOps — task tracking, work items
* **Modeling & architecture**

  * MATLAB / Simulink / Stateflow — model-based design, simulation, auto-code
  * Vector PREEvision, Enterprise Architect — E/E architecture, CAN matrix
* **Implementation & embedded**

  * IAR, Green Hills, GCC toolchains; AUTOSAR toolchains
* **Verification & test**

  * dSPACE — SIL/HIL test benches
  * Vector CANoe / CANalyzer — bus simulation and system integration testing
  * Polyspace / Coverity / Klocwork — static analysis
  * Unit test frameworks (VectorCAST, googletest), automated test runners
* **DevOps / traceability**

  * Git/GitLab, Jenkins — CI/CD, automated builds/tests
  * Integration between ALM and CI to maintain trace links and automated evidence

---

# 5) Methods & modern adaptations

* **Model-based engineering** — shift-left verification, simulate earlier
* **Hybrid Agile + V** — sprints for software delivery within overall V milestones (traceability still maintained)
* **Continuous verification** — CI pipelines for builds, unit tests, regression testing on embedded code

---

# 6) How to learn & upskill (roadmap)

* **Concepts (2–3 days):** V-model overview, ISO26262 & ASPICE awareness
* **Model-Based Design (2–4 weeks):** Simulink/Stateflow tutorials, build & simulate simple controller
* **Requirements & traceability (1–2 weeks):** learn a requirements tool, create trace matrix
* **Embedded implementation & unit testing (2–4 weeks):** C or generated code + unit tests + static analysis
* **Integration & HIL basics (2–4 weeks):** CAN fundamentals, Vector/dSPACE demos or labs
* **Safety/process literacy (2–4 weeks):** ISO26262 training, ASPICE intro
* **Capstone project (4–8 weeks):** end-to-end small project to produce portfolio artifacts

---

# 7) Concrete case study (mini project): **Lane-Keep Assist (LKA) prototype**

* **Scope**: simple LKA controller verifying lateral error ≤ 0.5 m at 50–100 km/h on straight roads
* **Left side artifacts (development)**:

  * Stakeholder/item requirements (R-001…)
  * System requirements (performance, latency, interfaces)
  * Functional design (block diagram, state machine)
  * Software architecture (lane perception, controller, actuator interface)
  * Detailed design (Simulink model or C pseudo-code)
  * Implementation (auto-generated C or hand-coded modules)
* **Right side artifacts (verification)**:

  * Unit tests (controller function edge cases)
  * Integration tests (perception + controller in SIL)
  * System tests (virtual HIL with vehicle model + CAN messages)
  * Validation report & metrics (test logs, pass/fail vs requirements)
* **Deliverables for portfolio**:

  * Requirements list + traceability matrix
  * Architecture and model screenshots
  * Unit/integration test reports and logs
  * Safety checklist / HARA summary (if ASIL used)
  * Short demo video (1–3 min) of simulation/test run
  * Git repo with README describing how to run tests

---

# 8) Templates you can copy (minimal examples)

**Requirement CSV row**

ReqID,R_Title,R_Description,Source,Priority,ASIL,VerificationMethod,Owner R-001,Maintain lane,Vehicle lateral error <=0.5 m at 50-100 km/h,Stakeholder,High,QM,System test/HIL,A.Meier

**Test case CSV row**

TestID,ReqID,Objective,Precondition,Steps,Input,Expected,Result T-001,R-001,Verify lateral error at 80 km/h,Vehicle model loaded,Run scenario 'straight_80',Sensor data log,Max lateral error <=0.5m,Pass

**Example test matrix (short)**

* Req → UnitTest | IntegrationTest | SystemTest | Validation

  * R-001 → ✔ | ✔ | ✔ | ✔
  * Latency Req → ✔ | ✔ | ✔ | ✔

---

# 9) 6–10 week solo schedule (example)

* Week 1: Item & system requirements; set up tools (Simulink, Git, Polarion/Jira)
* Week 2: Architecture & functional design (block diagrams, state machines)
* Weeks 3–4: Model implementation (Simulink) + unit tests + auto code generation
* Week 5: Integration tests (SIL/MIL), static analysis, defect fixes
* Week 6: System tests (virtual HIL), validation report
* Week 7: Polish artifacts, create demo video, assemble portfolio

---

# 10) Deliverables

* One-page project summary: goal, your role, tools, timeline, safety/process targets
* Small requirements snapshot + **traceability sample** (req → model → test)
* Architecture & design artifacts (PNG/SVG, Simulink screenshot)
* Test evidence: unit test reports, integration logs, HIL summary
* Code sample (selected files) with README and instructions to run tests
* Short demo video (1–3 min) showing verification vs requirement
* Safety/process evidence (HARA summary, ASPICE checklist)
* Lessons learned & measurable outcomes

---

# 11) Important Notes

* Requirements versioned and accessible (DOORS/Polarion or export)
* Traceability matrix showing coverage for every requirement → test
* Unit test reports + static analysis (Polyspace/other)
* Integration/system test summaries with logs and pass/fail criteria
* Safety rationale / HARA if ISO26262 applied
* Demo video and a README that maps artifacts to V-model phases

---

# 12) Popular professional tools 

* Requirements: **DOORS, Polarion, Jama**
* Modeling: **Matlab/Simulink, Stateflow**
* Architecture: **Vector PREEvision, Enterprise Architect**
* Bus & integration: **Vector CANoe, CANalyzer**
* HIL/SIL: **dSPACE**
* Static analysis: **Polyspace, Coverity**
* CI/DevOps: **Git/GitLab, Jenkins**