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IT: Software Engineering

Prove It: Formal Methods for Everyday Developers

Formal Methods & Software Verification: leave with pre/postconditions and invariants on a critical function plus a static-analysis report.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpIT: SOFTWARE ENGINEERINGProve It: FormalMethods forEverydayDevelopersFREE WEBINAR TOPIC · VOTE

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Why formal methods & software verification matters — the common problem: Critical logic is trusted on testing alone, missing edge cases no test thought of.
  2. 2Core concepts in plain language: Program specifications, invariants, preconditions, postconditions, design by contract, static analysis
  3. 3Going further: symbolic execution, model checking, theorem proving, temporal logic, correctness proofs, safety-property verification
  4. 4Framework walkthrough: Test Pyramid, SOLID Principles, Acceptance Criteria (Given–When–Then)
  5. 5Practical workflow, built live: Pre/postconditions and invariants on a critical function plus a static-analysis report.
  6. 6How to measure it: Defect escape rate, Test reliability (flaky-test rate), Change failure rate, Lead time for changes
  7. 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation

Who it's for

  • • Students and freshers entering tech
  • • Working developers and engineers
  • • Tech leads and architects

You'd leave with

  • Pre/postconditions and invariants on a critical function plus a static-analysis report.
  • A working understanding of Test Pyramid and SOLID Principles
  • A short list of measures to track: Defect escape rate, Test reliability (flaky-test rate), Change failure rate