What’s the biggest factor affecting software development time and resources? Rework — it can consume up to 50% of total effort. In today’s world of tight budgets and growing demands, that’s simply unsustainable.
Most enterprises have invested heavily in manual testing and automation, but they are fighting an uphill battle. Decades of legacy systems, not enough resources with the necessary skills, the impossibility of QA keeping up with your development team. And it’s not just in testing the first time, but testing multiple times, and it never ends. Without proper automated regression suites, your team's workload will only grow. You want to ensure that your software works the first time -- and avoid the costly rework.
This problem is not just one of workforce. It's a direct impact to your bottom line. Software delivery delay “…costs between $100K and $500K per week (Forsgren et al., 2021). Indeed, the QA cost curve is exponential, the later you discover the bug, the higher the cost. It costs roughly $1,200 per bug to fix while still in development and caught early. By the time we reach User Acceptance Testing, the point when the business and QA are doing a final run through in preparation for go live, the cost skyrockets to $5,000 per bug or more. In production, especially if it's a mission-critical system, the costs go up from there.
The QA & AI-enabled testing markets are growing rapidly, expected to exceed $100 billion by 2032.
A significant portion of the IT Budget is consumed by QA and usually they are just treading water. Estimates place QA’s share of the IT Budget at around 25%! (Capgemini, 2024) That's not money enabling the next great thing in most cases, usually that is money spent making sure old legacy systems don't break when touched! QA can't keep up, and neither can your budget.
Smart Test Automation Reliability System (STARSS) by StaidLogic
An entire suite of tools designed to improve QA operations. Not vaporware, not in planning —production-ready to provide meaningful change to your QA bottom line. You cut your QA time by automating the test plans and test automation scripts generation by two-thirds. It also results in a QA OPEX reduction of 20 to 30% in the overall improvement in system quality.
An entire suite of tools designed to improve QA operations. Not vaporware, not in planning —production-ready to provide meaningful change to your QA bottom line. You cut your QA time by automating the test plans and test automation scripts generation by two-thirds. It also results in a QA OPEX reduction of 20 to 30% in the overall improvement in system quality.
STARSS Suite turns testing from a bottleneck into an ongoing strength. As AI reshapes how software is created, with the next phase of technology, the reliability is the bedrock upon which everything is built.
The future of QA isn’t scripted – it’s adaptive.
So, give us a call or email today and let’s take your QA team forward into the AI automation future.