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6 Ways to Estimate Effort in Software Testing

Updated: Apr 20, 2022


Software testing effort estimation
Software testing effort estimation

What is Software testing estimation? Why it is needed?


Software testing is an integral part of the Software Development Life Cycle (SDLC). In recent times, the increasing software complexity has led to an increase in testing complexity as well. Estimating testing effort accurately hence has become an even more important factor towards project success.



Test estimation is required to know the answers to these two questions -

  • How long will the testing process take? and,

  • How much will it cost?

Finding the answers to these questions will feedback to the test planning and will help to determine testing duration and cost.



What to estimate?


Software Testing Estimation techniques are the effort estimation techniques that calculate the approximate :

  1. Time - How much time testing will take?

  2. Team Count- How many QA members are required?

  3. Cost - What will be the overall testing cost?

  4. Skills - What shall be the skill set of the QA team?


Effort estimation in software testing


Some of the most popular and effective techniques in software testing estimation are explained in the below section. Though these techniques are explained from a software testing estimation standpoint, these can also be used for estimating any complex work or project.


Types of estimation techniques in software testing
Types of estimation techniques in software testing


Types of estimation techniques in software testing



1. Work Breakdown Structure (WBS) :

Break the work into smaller modules for easy & accurate estimations. In this technique, a testing task is broken down into smaller modules and those modules are further divided into measurable sub-modules. Each sub-module is, in turn, divided into functionalities and they are split into sub-functionalities. The outcome is a very detailed, tightly coupled, traceable yet easy to understand, and manageable hierarchical ma