IQBYT - Your Automated Release Partner

Does your ALM help in Performance testing or Are you just ignoring this key aspect for Production

Performance testing is the ceremony most teams skip — until the day it matters. Load testing tools like JMeter have a steep learning curve: you need to know XML, understand thread groups, write extractors for dynamic tokens, and manually wire up the dependency chain between API calls. Got a student enrolment API? You can't test it without a valid student ID. No student ID means no test. So you hardcode one from the dev database, run the test once, and call it done. Load profiles are set once and never revisited. Geographic distribution is a concept, not a practice. And when the test finally runs, the results live in a JTL file that requires a separate tool to parse. Performance testing that should be continuous ends up happening once per release — if at all. Tricentis reports that 60 percent of organisations discover performance issues in production, not in testing.

 

Plan your program sprints in IQBYT

Sprint planning is a ceremony, not a strategy. Teams spend 2 hours in a room estimating story points, assigning work, and hoping the sprint backlog aligns with what QA can actually test. Requirements go into the sprint with no test cases. Test plans are created manually — if they're created at all. When the sprint ends, the retrospective is a whiteboard that gets erased. Nobody tracks whether action items were completed. And the gap between 'sprint committed' and 'sprint tested' stays invisible until the release fails. According to Tricentis, 40 to 50 percent of QA time goes to repetitive regression testing alone.

 

What if IQBYT find issues and speed up the release

QA team productivity: 25 engineers now deliver the output of 60. The 40 to 50 percent of time they spent on manual repetitive work — as the World Quality Report by Capgemini measured? Now handled by Ik-Bit. They focus on exploratory testing, strategic quality planning, and the complex work that only humans can do.

 

How are you using AI to find defects

Every enterprise knows quality is a problem. Defects leak to production. Releases are delayed. Testing is always the bottleneck. But the solutions they've tried — more people, more tools, more process — just add more cost without solving the root cause. The root cause is that requirements are vague, traceability is manual, test cases are stale, and nobody has visibility into the real state of quality across all their platforms.

 

Do you know about cost to quality, What if you can monitor with IQBYT

Most organisations have no idea what quality actually costs them. They know their tool licences. They know headcount. But they don't measure the hidden costs — the 40 to 50 percent of QA time wasted on repetitive regression testing — as Tricentis reported in their State of Continuous Testing Report — the production incidents caused by leaked defects, the release delays because testing is always the last bottleneck. When a CTO asks 'What is our cost of quality?' the answer is usually a shrug. The American Society for Quality puts the cost of quality at 15 to 25 percent of IT budgets — most of it invisible.

 

How about you can ask questions about your project with IQBYT

A QA Director needs answers — 'How many requirements have full test coverage?' 'Which features are at risk for the next release?' 'What did the last traceability analysis find?' Getting those answers means running 5 different reports, opening 3 dashboards, and cross-referencing data in a spreadsheet. By the time the report is assembled, the data is already stale. And if an executive asks a follow-up question in a meeting, nobody has the answer. Gloria Mark's research at the University of California Irvine showed that every context switch costs 23 minutes to regain focus — and assembling reports from multiple tools is nothing but context switches.

 

Impact analysis and regression gest created automatically

What if your any change in the code pics the impacted test cases and also gets revised with the changes

Monitoring of constant changes in the application and always remain upto date with RTM

Code changes happen every day. Requirements evolve every sprint. But test cases? They were written 3 months ago and nobody's updated them since. This is why — as Capers Jones documented in Applied Software Measurement — 5 to 10 percent of defects leak to production — not because teams are careless, but because there's no system to keep tests aligned with a constantly changing codebase. By the time someone notices a test is stale, the damage is already done. IBM Systems Sciences Institute confirmed that fixing a defect in production costs 100 times more than catching it during testing.

IQBYT does the Sprint Retro as well

Retrospective time. Someone opens a Miro board — or worse, grabs a pack of sticky notes and a whiteboard. The team writes down what went well, what didn't, and what to improve. A few patterns emerge. Someone volunteers for an action item. Then the meeting ends, the sticky notes go in the bin, and the Miro board is never opened again. Next sprint, the same problems reappear. When an auditor asks "What process improvements have you made?" the answer is an awkward silence — because there's no record.

How do you do Sprint Review, does your ALM supports sprint review

Sprint review day. The scrum master spent 2 hours last night building a PowerPoint deck. She manually counted how many stories were delivered. She pulled test results from a spreadsheet, calculated the pass rate on a calculator, and screenshotted the Jira board for the "before and after" slide. Stakeholder feedback? Someone takes notes in a Google Doc that gets shared 3 days later — by which time half the action items are forgotten. The review ceremony that should celebrate delivery becomes a tedious reporting exercise.