What is monkey testing in software testing and how is it helpful ?

In software testing, monkey testing is a technique where the user tests the application or system by providing random inputs and checking the behavior, or seeing whether the application or system will crash. Monkey testing is usually implemented as random, automated unit tests.

 1. Healthcare:

In cases where healthcare providers enter wrong data or make incorrect clicks while navigating the EMR system, the system should provide informative feedback, error messages, or guidance on correcting mistakes

2. Finance: Monkey testing can help prevent critical issues in financial software applications by verifying that transaction processing and data retrieval functions are able to handle unexpected inputs and scenarios without causing system failures. This can help avoid financial losses or security breaches.

Incorrect Data Validation: The system should be able to detect and prompt users for the correct payment information when invalid data is entered. Monkey testing can reveal if the system fails to handle such scenarios and provides ambiguous error messages.

3. Automotive: Monkey testing can be used in automotive software systems to test the functionality of in-vehicle software such as infotainment systems, navigation systems, and advanced driver-assistance systems. By simulating random inputs, developers can identify potential bugs or performance issues that could impact the safety and functionality of the vehicle.

4. Telecommunications: Monkey testing can help prevent critical issues in telecommunications software by ensuring that communication protocols and network connectivity features can handle varying loads and unexpected data without causing disruptions or failures. This can improve the reliability and performance of telecommunications services.

5. E-commerce: Monkey testing can be applied to e-commerce platforms to verify that online shopping applications can process orders, payments, and inventory updates under various conditions, such as high traffic volumes or unusual user behavior. This can help prevent issues like lost sales, inaccurate inventory data, and payment processing errors.

Issue categories:

Data Accuracy: If incorrect patient demographics are entered, it could lead to patient misidentification, incorrect treatment plans, or medication errors. Monkey testing can reveal if the system is able to detect and flag discrepancies in patient data to ensure accuracy and patient safety.

Treatment Planning Errors: Wrong diagnosis codes or medication orders can result in improper treatments, potential adverse reactions, or delays in care. Monkey testing can help uncover instances where the system fails to verify treatment plans against correct diagnoses or medication guidelines.

User Input Validation: The system should validate user entries to prevent errors such as incorrect formatting of medical records, missing mandatory fields, or data inconsistencies. Monkey testing can highlight areas where the system lacks proper validation checks to ensure data integrity.

System Response to Errors: In cases where healthcare providers enter wrong data or make incorrect clicks while navigating the EMR system, the system should provide informative feedback, error messages, or guidance on correcting mistakes. Monkey testing can assess if the system handles user errors gracefully and guides users to rectify input mistakes.