Situation Studies: Successful Application of Boundary Value Examination in Real Projects

Boundary Value Analysis (BVA) is a critical technique in software testing that helps identify errors at the boundaries associated with input values. This technique is based in the principle of which errors are even more likely to occur at the corners of input amounts as opposed to within typically the ranges themselves. Within this article, all of us will explore a number of case studies featuring the successful application of BVA inside real projects around various domains. These examples illustrate just how BVA can boost testing efficiency, find out critical defects, and even improve overall computer software quality.

Case Research 1: Banking Software – Account Harmony Validation
Background:
A major bank has been developing an online banking application along with features for managing account balances, shifting funds, and creating statements. my link involving the critical functionalities was to validate transactions based about account balance restrictions. For instance, particular transactions were limited according to whether the balance was listed below or above a specific threshold.

Using BVA:
The assessment team used BVA to pay attention to boundary principles for account amounts. They identified important boundary values this kind of as:

The lowest allowed balance (e. g., $0).
Typically the threshold balance with regard to transactions (e. g., $100).
The most allowable balance for your bank account.
Test Scenarios:

Lowest Boundary Test: Tried a transaction together with an account balance of $0. The system should effectively handle cases wherever the balance is zero and ensure transactions do not proceed.
Just Above Minimum: Tested using a balance of $1 to make sure that transactions only above the minimal threshold are processed correctly.
Threshold Boundary Test: Conducted testing with balances specifically at the $100 threshold to assure correct handling associated with transactions at this restrict.
Just Above Tolerance: Tested which has a balance of $101 in order to verify that transactions above the tolerance are processed not surprisingly.
Maximum Boundary Check: Validated the technique together with the maximum permitted balance to ensure it handles uppr limits appropriately.
End result:
By applying BVA, the team discovered several defects, which includes:

Incorrect handling involving transactions when the balance was exactly $0, resulting in failed transactions which will include been allowed.
Difficulties with transactions at the $100 threshold credited to off-by-one problems in the validation logic.
These studies were addressed, ultimately causing improved system stability and customer satisfaction.

Example 2: Ecommerce Platform – Lower price Code Application
History:
An e-commerce system offered various price cut codes which can be used at checkout. The discount system acquired multiple rules centered on the overall purchase amount, which includes minimum purchase needs for sure discounts.

Program of BVA:
Typically the testing team employed BVA to check the usage of discount requirements by focusing on boundary values from the order amounts. Key boundary values included:

Minimum purchase amount necessary for discounts (e. g., $50).
Tolerance amounts for diverse discount levels (e. g., $100, $200).

Test Scenarios:

Minimum Purchase Boundary Check: Tested with a purchase amount of $50 to ensure of which discounts requiring this kind of minimum were applied correctly.
Just Below Minimum: Attempted a new purchase of $49. 99 to validate that discounts needing at least $50 were not erroneously utilized.
Threshold Boundary Analyze: Tested with buy numbers of $100 and $200 to validate correct discount apps at these key thresholds.
Just Over Threshold: Conducted testing with amounts of $100. 01 and even $200. 01 to ensure that discounts for amounts merely above the thresholds were applied effectively.
Outcome:
The program of BVA exposed several issues, including:

Discounts being used incorrectly for quantities just below typically the minimum required.
Completely wrong discount calculations intended for amounts exactly in the threshold values as a result of rounding errors.
The team resolved these problems, leading to accurate price cut applications and enhanced customer trust.

Case Study 3: Well being Care System – Patient Age Confirmation
Background:
A medical system included an attribute to verify individual eligibility for selected services based upon age. Eligibility requirements included minimum plus maximum age restrictions for specific companies.

Application of BVA:
The testing staff utilized BVA to be able to test age verification by concentrating on border values relevant to grow older limits. Key boundary values included:

Lowest age requirement (e. g., 18 years).
Maximum age reduce (e. g., sixty-five years).
Test Cases:

Minimum Age Boundary Test: Tested together with patients aged eighteen to ensure that will the program correctly enables usage of services for individuals meeting the particular minimum age requirement.
Just Below Lowest: Tested with individuals aged 17 to be able to verify that access to age-restricted companies was correctly rejected.
Maximum Age Boundary Test: Tested together with patients aged sixty five to ensure the system correctly handles typically the upper age restrict for service eligibility.
Just Above Maximum: Tested with individuals aged 66 in order to validate that entry was correctly denied beyond the highest age limit.
Final result:
The application of BVA revealed concerns for example:

Inconsistent dealing with old limits leading to incorrect eligibility decisions.
Errors throughout age boundary calculations affecting service accessibility for patients near the age limits.
These issues had been addressed, enhancing the accuracy of age-based service eligibility and even ensuring compliance with medical regulations.

Situation Study 4: Vacation Booking System – Booking Date Acceptance
Background:
A travel booking system integrated features for booking flights, hotels, and rental cars. A single critical functionality was going to validate booking dates based on accessibility and restrictions.

App of BVA:
The testing team applied BVA to test date validation by simply centering on boundary ideals related to booking date ranges. Key boundary ideals included:

Minimum reservation lead time (e. g., 1 day).
Maximum booking lead time (e. g., 365 days).
Test Scenarios:

Minimum Reservation Date Boundary Check: Tested with the booking request precisely 1 day before hand to ensure that will the system allows bookings with typically the minimum lead moment.
Slightly below Minimum: Experimented with a booking request for the identical day to verify that will it was correctly rejected if the system required in least 1 day time advance notice.
Maximum Booking Date Border Test: Tested with a booking obtain for 365 times beforehand to confirm that the system deals with the ideal allowed booking lead time.
Merely Above Maximum: Examined using a booking ask for for three hundred and sixty six days within advance to guarantee that it had been effectively rejected beyond the maximum allowed prospect time.
Outcome:
Implementing BVA helped determine:

Incorrect handling involving booking dates just beneath and above typically the allowed boundaries.
Concerns with system common sense that led to wrong acceptance or rejection of bookings structured on the business lead time.
These problems were fixed, increasing the booking procedure and customer satisfaction.

Realization
Boundary Value Examination is a strong technique in computer software testing that will help identify critical concerns with the edges of input ranges. The case studies offered illustrate how BVA can be properly applied across several domains, from financial and e-commerce in order to health care in addition to travel. By centering on boundary beliefs, testing teams can easily uncover defects that will might be overlooked along with other methods, leading to very reliable and even high-quality software. Productive application of BVA not only boosts the accuracy involving testing but in addition adds to better customer experiences and method performance