Efficient time estimation is a critical aspect of software testing, ensuring smooth execution while balancing resource allocation. JW Infotech follows a structured estimation model to define testing efforts based on different project requirements. The approach includes various testing types, such as functional, performance, compatibility, regression, and mobile responsiveness testing. This report presents a quantitative breakdown of time estimations used in different projects without referencing specific project names or monetary aspects.
Functional testing ensures the core functionalities of an application work as intended. Regression testing, on the other hand, ensures that new updates do not introduce defects in existing functionalities.
Mobile responsiveness testing ensures that an application adapts effectively across different screen sizes and devices.
Performance testing is aimed at evaluating system stability, response time, and scalability under various conditions. The primary testing types include:
While exact estimations may vary depending on API availability and project scope, past projects have allocated significant effort toward performance evaluations. A common pattern observed is that API performance testing estimation is finalized after receiving complete API details.
A structured approach is used for defect tracking, incorporating time for debugging and verification.
The team follows an iterative execution model, prioritizing smoke tests before deep-dive testing cycles.
JW Infotech employs a structured and data-driven estimation approach to testing, ensuring accuracy in resource allocation and execution timelines. By breaking down testing efforts into well-defined units, the company maintains high testing efficiency and predictable delivery timelines.