Software Testing & Related Services

Fewer escapes

Shift-left coverage, contract tests, and data-driven regression reduce prod defects.

Defect leakage ↓

Faster releases

Parallel runs in CI/CD, stable environments, and flake control accelerate pipelines.

Lead time ↓

Proof, not promises

Dashboards, evidence packs, and SLA reporting keep stakeholders aligned.

Confidence ↑

What we test

Coverage across web • mobile • APIs • data • security

Functional & Regression

Story-level & end-to-end tests, acceptance criteria, exploratory testing, defect triage.

Test Automation

UI/API/contract tests, flake control, parallelization, test data mgmt, coverage KPIs.

Performance & Reliability

Load, stress, soak, and capacity tests with SLOs, error budgets, and tuning guidance.

Security & Privacy

OWASP checks, SAST/DAST/SCA, auth flows, data masking & privacy test scenarios.

Mobile QA

Device labs, network shaping, crash analytics, accessibility & store-readiness.

API & Integration

Contract tests, mock/stub orchestration, backward-compatibility & idempotency.

Data & Analytics

Schema & lineage checks, data quality rules, reconciliation, and PII governance.

Compliance & Accessibility

scenarios, audit evidence, release & change control checks.

UAT & Beta Programs

User scripts, acceptance gates, feedback loops, and go-live confidence packs.

Testing approach

1Strategy

Test strategy, risk-based coverage matrix, environments, and data plan.

2Design

Test design & traceability to requirements, acceptance criteria & contracts.

3Automate

Stable frameworks, mocks/stubs, data seeding, parallel-run pipelines.

4Validate

Functional, performance, and security runs with dashboards & evidence.

5Release

Go/no-go gates, rollback plan, and post-release monitoring & bug bash.

Definition of Done (QA)

Traceability: requirements ↔ tests ↔ defects
Automation: stable, parallelized, flake < 1%
Coverage: unit, API/contract, UI, performance & security gates
Evidence: dashboards, logs, screenshots, videos, artifacts
Release gate: SLOs met, open risks accepted, rollback tested

Deliverables & Artifacts

Artifact	Description	Format
Test Strategy & Plan	Scope, risks, environments, data & tools	Doc/Slides
Test Cases & Suites	Requirements mapping, acceptance criteria	Tracker/QA tool
Automation Framework	Code, utilities, fixtures, reporting	Repo
Performance Pack	Workload model, scripts, runs, tuning report	Repo/Reports
Security Findings	SAST/DAST/SCA results, fixes & retests	Reports
UAT Evidence	User scripts, sign-offs, go/no-go	Docs/Portal
Release Quality Report	KPIs, defect trends, coverage, risks	Slides/Dashboard

Engagement options

2–3 weeks

QA Audit & Strategy

Assess gaps, create risk-based strategy, and quick wins.

Coverage & flake analysis
Env & data plan
Roadmap

Start audit

4–8 weeks

Automation Sprint

Stand up frameworks, CI, and coverage for critical flows.

UI/API & contract tests
Parallel runs
Reporting

Request proposal

Ongoing

Managed QA Team

Dedicated engineers embedded with your squads.

Sprint testing & triage
Perf & security gates
Release sign-offs

Explore plans

Sample results

Release quality • SaaS

Defect leakage down 58% after contract-testing & env stabilization.

Automation • FinTech

Parallelized UI/API suites cut pipeline from 90→18 minutes.

Performance • Retail

Handled Black Friday traffic with 30% headroom after tuning.

FAQs

Both. We prioritize automation for stable, high-value flows and keep exploratory/manual testing for new or high-risk areas.

Yes—GitHub/GitLab/Azure. We add gates, artifacts, and dashboards and help manage flaky tests.

Yes—load/stress/soak tests with SLOs, plus OWASP-aligned security checks and retest cycles.