Importance of testing obvious scenarios

Why Testing is critical even when the issue looks very minor?! Contextual information might be helpful to understand it better. Case 1: A survey platform in your CRM has a laggy frontend. It seems manageable, but slow performance can silently drive users away, leading to potential business loss. Case 2: A simple file-generation software had an alignment issue. The output? Misaligned barcodes on printed cheques, causing automated printing machinery to halt—leading to costly delays. Case 3: Accessing 5-year-old data is slow and unreliable. While it may seem insignificant, consider its impact in critical industries. Imagine an audit where old transaction records fail to load or compliance data is inaccessible, leading to regulatory issues or legal consequences. Case 4: Healthcare domain. Never imagine any cases here. Strictly follow every process in the software cycle. Period. Testing activity should also think about ensuring reliability, business continuity, and preventing real-world consequences. #SoftwareTesting #QualityAssurance #BusinessImpact #TestingMatters

Most of the time easy test conditions are created and checks performed at lower cost, more quickly, more safely, and easier to repeat via tools and automation than doing them yourself. Certain conditions, such as data permutations, state transitions, sequences and flow of business logic are well suited for checking with automated scripts. Sometimes we wait until the most expensive, most complicated scenarios to cover some tests not because have analyzed the problem and decided that is the best way to cover them. Sometimes we wait because we didn't bother to analyze and are hoping that with all that complexity going on in the real world, we will stumble across something. We roll the dice against ourselves when we do that. The real world doesn't decide what to do just because we want it to when we want it to. The better approach is to roll up our sleeves, do the grunt work of thinking through a problem, and come up with test approaches that run faster at lower cost and scale better. Save your experiential and interactive testing for problems that require your capacity to notice things difficult to encode into a script. Save yourself for the deeper, hard problems that demand analysis and contemplation. Use that activity as a complement to earlier analysis to find conditions you didn't anticipate, and then immediately augment the lower-level testing tools with that discovered test scenario. #softwaretesting #softwaredevelopment You can find more ideas like this about testing, test design, development and test strategy in my book Drawn to Testing, available in Kindle and paperback format. https://lnkd.in/gB4NS4BS

For most of my career, I have been a champion of a model-based approach to software quality. It involves creating visual models of a software requirement. An often overlooked benefit is the simple act of forcing critical thinking, and collaborating on it. It sounds obvious, but specifically thinking about the positive and negative scenarios within a system. It never ceases to amaze me how significant the improvement in quality can be, simply by thoroughly thinking through a process. Questions like, "What happens when I enter a negative number?" or "What if I attempt to transfer more money than I have in my account?" prompt us to dive deeper. Modelling forces thinking about the different scenarios which ultimately leads to a greater understanding of how the system, but also gives visibility into the thoroughness of the testing approach. #SoftwareQuality #ModelBasedApproach #QualityEngineering #SoftwareTesting"