How do you prioritize regression test cases when facing tight project deadlines?

Un ejemplo de un caso en el mundo laboral, la prioridad la da el negocio considerando su experiencia en el flujo que se está sistematizando, para esto es importante integrar a esos usuarios dentro del diseño, implementación y liberación. Para este punto considero que la automatización oportuna de los test de mayor impactó también es de gran valor. En la ejecución es necesario prestar atención al detalle considerando el valor que se está dando a esos casos, claro con un acuerdo previo entre áreas y usuarios involucrados en el sistema o los sistemas legados.

Prioritizing regression test cases under tight project deadlines requires a strategic approach. Focus on the areas most critical to the application's core functionality, and identify any high-impact features that are most likely to break. Prioritize tests that cover recent changes, bug fixes, or any parts of the system that have a history of instability. Balancing speed and coverage is key, so it may be necessary to streamline or automate some tests to maximize efficiency. Ultimately, the goal is to ensure that essential functionality is validated, even when time is limited.

In general, a good prioritization checklist should consider a few (all of these points); Criticality of the cases (in terms of critical or blocking functionalities), estimated percentage of the flow that the test case to be added covers, propensity to change that those test cases can address (e.g. if a test case can validate critical changes at the front or back end, they should be prioritized for the transversal impact that these could suppose), testing of critical services (e.g. testing of critical APIs).

When prioritizing regression test cases, start by performing a risk analysis to pinpoint the most critical parts of the application. Assess which functionalities are most frequently used and have the greatest impact on the user experience. Pay special attention to high-risk areas, such as those managing financial transactions or sensitive data. By concentrating your testing efforts on these vital components, you ensure thorough coverage of the most important aspects, thereby reducing the risk of significant issues after deployment.

Risk analysis involves identifying and assessing potential issues that could impact a project's success. This process includes evaluating the likelihood and potential impact of risks, such as defects or system failures, and prioritizing them based on their severity. By understanding these risks, you can develop strategies to mitigate or address them, allocate resources effectively, and focus your efforts on the most critical areas to ensure the project stays on track and achieves its objectives.

Strive to achieve the highest test coverage with the fewest number of tests by choosing cases that address multiple functionalities or areas of the application. This strategy allows you to review a wide range of features even when time is limited. Focus on test cases with a history of defects or those that have recently been updated, as these are more prone to residual bugs. Prioritizing these cases helps ensure that new changes haven’t adversely affected existing functionalities.

Leverage historical data from past test cycles to guide your prioritization strategy. Identify which test cases have frequently uncovered defects and prioritize these accordingly. This data-driven method helps target areas with a known tendency for issues, allowing you to address recurring problems early. By focusing on these areas, you can enhance stability and prevent issues from impacting the end user, leading to a more reliable release.