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Contacts

Software Testing and QA Services*

QA and software testing services aim to ensure that software fully meets its requirements and user expectations. Since 1989, SlackDigital provides full-range QA services within rigid deadlines to help our customers deliver high-quality software in quick releases.*

QA outsourcing*

  • Designing a QA strategy and a test plan.
  • Analyzing the relevancy of test automation for the project and calculating its ROI.
  • Building all relevant testing activities into the SDLC and performing them.
  • Providing regular test reports and reports on the QA team’s performance.
  • Managing the testing team and enhancing its performance.*
QA consulting*

  • QA process setup.
  • QA process audit and improvement.
  • QA consulting to obtain software, process, or QA maturity certifications.
  • Test automation consulting and setup.
  • Consulting on testing a specific software type (e.g., IoT, big data, SaaS software).
  • Performing relevant testing activities.
  • Training the in-house QA team.*
Managed testing services*

  • Setting up a test environment.
  • Preparing test data.
  • Developing test cases.
  • Executing tests.
  • Submitting and describing defects in a defect tracking system of your choice.
  • Providing regular test reports and reports on the QA team’s performance.*
One-time testing*

  • Functional testing.
  • Compatibility testing.
  • Localization testing.
  • Performance testing.
  • Usability testing.
  • Security testing.*

Get the Quality of Your Software Expertly Ensured!*

SlackDigital’s QA and testing experts can help ensure top-notch software quality within optimal testing time and budget.

Software type our testing experts handle:*

KPIs To Measure Testing Progress & Team Performance*

We tailor KPI suites for each testing project with regard to its specifics (development methodology, the architecture of software under test, applicable testing types, etc.).

 

A typical KPI suite may include:


  • Percentage of software requirements covered by test cases.
  • Average and total number of created test cases.
  • Average and total number of updated test cases.
  • Number of executed test cases (for projects with development and testing going in parallel, this metric includes test cases planned for the current iteration and regression tests).
  • Average and total number of found defects.
  • Effort variance (the ratio between actual and estimated testing efforts).
  • Percentage of issues reported by software users or found during user acceptance testing (for projects with development and testing going in parallel).*