Comprehensive QA across the full testing spectrum, from test strategy and functional testing to performance benchmarking, security validation, and accessibility compliance, integrated into every sprint, not bolted on at the end.
Most projects treat QA as a phase, something that happens after development finishes. The result is compressed testing windows, rushed decisions, and escaped defects that cost 100x more to fix in production than at the unit test level. Softcom integrates quality at every layer of the delivery pipeline.
We design test pyramids with 70% unit / 20% integration / 10% E2E coverage ratios, apply risk-based testing to focus effort on highest-value paths, and embed security and accessibility testing in the same CI pipeline that runs functional tests, catching issues in minutes, not weeks.
Key differentiator: Every federal project includes WCAG 2.2 AA accessibility testing with manual screen reader validation (NVDA, JAWS, VoiceOver) and a delivered VPAT document, not just an automated Lighthouse scan.
The specific tools, methodologies, and testing practices we bring to every QA engagement.
Risk-based testing approach with IEEE 829 test documentation standards. Test pyramid design: 70% unit, 20% integration, 10% E2E. Test coverage analysis, defect SLA definition, and entry/exit criteria for each sprint. Quality metrics tracked across sprints: defect density, test coverage percentage, MTTR, and defect escape rate. Test environments and data management strategy included.
Manual exploratory testing with structured session-based test management (SBTM), automated regression suites on Selenium Grid across Chrome/Firefox/Edge/Safari, boundary value analysis, equivalence partitioning, and decision table testing. Regression test selection using change impact analysis to minimize full suite execution. Test case management in TestRail with Jira defect traceability.
Apache JMeter for load testing with distributed execution across multiple injectors, Gatling for high-throughput Scala-based simulation with rich HTML reports, k6 for modern JavaScript-based performance scripts in CI/CD. Performance baseline definition, spike testing, soak testing (8+ hour sustained load), and throughput capacity modeling. AWS-based distributed execution for realistic geographic load simulation.
OWASP ZAP automated DAST scans in CI/CD pipeline on every build, Burp Suite Pro for manual web application penetration testing with authenticated session scanning, SAST with Semgrep and Checkmarx for source code analysis, and Snyk for dependency vulnerability scanning. Fuzz testing with Boofuzz and AFL for protocol-level vulnerability discovery. OWASP Top 10 coverage documented for every application.
WCAG 2.2 AA conformance testing and Section 508 compliance for all federal projects. Automated scanning with Axe-core integrated into Storybook and CI/CD, Lighthouse CI with accessibility score thresholds. Manual keyboard navigation testing for complete user workflow coverage, screen reader testing with NVDA (Windows), JAWS (Windows), and VoiceOver (macOS/iOS). VPAT documentation delivered for federal procurement requirements.
REST API testing with Postman collections and Newman for CI integration with HTML reporter output, REST-assured for Java-based API test automation. GraphQL testing with Apollo Studio query validation. Contract testing with Pact for consumer-driven contract verification: the consumer defines the contract, the provider proves it works independently. Prevents silent breaking changes across microservices in distributed systems.
QA excellence requires investment upfront in strategy, then aggressive automation to make that strategy sustainable at sprint velocity. We don't do checkbox testing. We engineer quality systems that find real defects before real users do.
Our QA engineers are embedded in development sprints, writing test cases from acceptance criteria before developers write code. This is the only sequence that actually achieves shift-left quality.
Define the test pyramid architecture, risk-based prioritization model, quality KPIs, and defect SLA framework. Test environment strategy established. Toolchain selected and provisioned. IEEE 829 test plan document produced for audit trail and stakeholder alignment.
Test data management strategy implemented with anonymized production data or synthetic data generation (Faker, Mockaroo). Environment provisioning automated with Docker Compose or Terraform. CI/CD pipeline integrated with test stages (unit, integration, API, E2E, accessibility) running in parallel with fail-fast configuration.
Test cases authored from acceptance criteria and exploratory charters. BDD scenarios written in Gherkin for business-readable test documentation. Risk matrix created mapping features to defect probability and business impact. Boundary values and equivalence partitions documented per feature.
Sprints executed with test-first discipline. Defects logged in Jira with severity, reproducibility steps, environment details, and screenshots. Daily defect triage with development team. Regression suite executed on every PR merge. Performance and security tests run weekly against the integrated environment.
Sprint-end quality summary: test pass rate, defect density, open defects by severity, coverage metrics. Release readiness report with go/no-go recommendation against entry/exit criteria. Lessons-learned retrospective feeding test process improvement backlog. Accessibility VPAT and security test summary for compliance documentation.
Concrete examples of quality engineering delivering measurable value across industries.
Conducted a full WCAG 2.2 AA audit of a federal agency's 14-application portfolio. Axe-core automated scanning identified 2,300+ violations across applications. Manual screen reader testing (NVDA + JAWS) uncovered 47 additional issues not caught by automation. Remediation prioritized by WCAG criterion criticality. All 14 applications achieved Section 508 compliance with VPATs delivered to agency contracting office.
2,300+ violations remediated across 14 applicationsBuilt a Selenium Grid regression suite for a regional bank's online banking platform, automating 1,800 test cases across 6 browsers in 90 days. Full regression now runs in 4 hours versus 3 weeks of manual testing. Change impact analysis reduces regression scope for small releases to 180 tests running in 25 minutes. Zero P1 defects reached production in 18 months post-automation.
3-week manual cycle replaced by 4-hour automated runImplemented Pact consumer-driven contract testing for a healthcare data exchange platform with 11 microservices and 4 consumer applications. Contracts published to Pact Broker and validated in CI before any deployment. Caught 12 breaking API changes pre-deployment that would have caused downstream failures for partner EHR integrations. Mean time to detect API breaking changes reduced from 3 days to 8 minutes.
12 breaking changes caught pre-deploymentDesigned and executed peak load performance testing for a retail e-commerce platform ahead of Black Friday. JMeter simulated 50,000 concurrent users across 8 distributed injectors on AWS. Identified 3 database query bottlenecks (N+1 query pattern, missing indexes) causing 8-second P95 latency under load. After optimization, P95 dropped to 420ms at 50K concurrent users. Zero performance degradation during actual Black Friday traffic.
P95 latency: 8 seconds to 420ms at 50K usersStart with a QA Maturity Assessment: we evaluate your current testing practices, identify the highest-impact improvement opportunities, and deliver a prioritized QA roadmap.