Category Issue Tracking, Tickets & Technical Requests

Reading Time: 4 minutesSimulations are widely used to understand complex systems, predict behavior, and support technical decisions. However, simulation results only become truly valuable when they can be meaningfully connected to real-world problems. In practice, teams often face a disconnect: models appear correct, simulations run successfully, yet reported issues such as failures, performance drops, or unexpected behavior continue […]

Reading Time: 3 minutesIssue tracking systems such as Redmine, Jira, GitHub Issues, or GitLab are not just administrative tools. They define how work flows through a team: what gets fixed, what gets postponed, and what silently turns into technical debt. In many teams, delays are caused not by difficult bugs, but by poorly written issue reports. A weak […]

Reading Time: 6 minutesResearch software lives in a tricky space: it needs to move fast enough to keep up with experiments, but it also needs to be reliable enough that results can be trusted, repeated, and explained months later. Ticket-based development (issues, tasks, work items) is one of the simplest ways to get both speed and safety—without turning […]

Reading Time: 4 minutesIssue-tracking platforms like :contentReference[oaicite:0]{index=0} are essential tools for managing technical, research, and software projects—but for many users, they feel overwhelming at first glance. Dense menus, dozens of fields, unfamiliar workflows, and long lists of issues can make even simple tasks feel confusing. This article is designed as a practical orientation guide. Instead of listing every […]

Reading Time: 6 minutesIn scientific and engineering software, most frustration doesn’t come from hard problems — it comes from unclear problem statements. A ticket that “sounds wrong” might actually describe a missing capability. A request for a “small improvement” might be masking a defect that corrupts results. When teams misclassify tickets, they waste time: developers investigate phantom bugs, […]

Reading Time: 3 minutesA bug report is not a complaint. It’s a set of instructions and evidence that lets someone else reproduce a problem, understand its impact, and decide what to do next. When bug reports are vague, teams burn time on back-and-forth messages, guesswork, and “can’t reproduce” dead ends. When they’re well written, fixes move faster, priorities […]

Reading Time: 5 minutesTicket-based development is a way to organize work so that every meaningful change has a traceable reason, a clear owner, and a verifiable outcome. Instead of relying on memory, scattered messages, or “just ship it” habits, teams use tickets to create a shared understanding of what is being built, why it matters, and what “done” […]

Reading Time: 3 minutesScientific projects are fundamentally different from typical software or business initiatives. They evolve over long periods, involve high uncertainty, and often combine theory, computation, and experimentation. In such environments, problems are not exceptions—they are the normal state of progress. What determines the success of a scientific project is not the absence of issues, but how […]