Pass the iSQI Technical Test Analyst CTAL-TTA_Syll19_4.0 Questions and answers with ValidTests

The provided pseudo code for the Answer program shows a WHILE loop that will always execute because the condition for the loop to terminate (a >= d) is never met within the loop's body. This results in an infinite loop. Additionally, since the value of 'b' is initialized with 'a + 10' and 'a' starts from a value that is read and then set to 2, 'b' will never be equal to 12. Therefore, the 'THEN' branch of the IF statement, which includes 'print(b)', is unreachable. These are control flow anomalies because they represent logic in the code that will not function as presumably intended.

The pseudo-code provided for the "Win" program reads in variables A, B, C, and D. However, only variables A, B, and C are used in the conditional statements to determine if the output will be "Win" or "Loose". Variable 'D' is never used after it is read, which is a classic example of a 'defined but not used' data flow anomaly. This means that while there is an instruction to read a value into variable 'D', there is no subsequent use of this variable in the program's logic or output.

The code provided contains a potential endless loop. The loop is conditioned on the variable 'E' being less than 1 (IF E < 1), but within the loop, there is no operation that modifies the value of 'E'. Therefore, once the loop is entered, if the condition A > B holds true, the value of 'E' remains unchanged, leading to an endless loop situation. The decrement of 'A' in line 15 does not guarantee an exit condition for the loop, as it does not affect the value of 'E'. This is a control flow defect that could cause the program to hang or crash.

In the context of an internet banking project where reliability and maintainability are emphasized, a key factor for maintainability is the modularity of the system. Implementing the user interface independently from other software modules (answer B) can significantly enhance maintainability. This is because it allows changes to be made to the user interface without impacting the underlying business logic or data access layers, making the system more adaptable to change. This kind of separation of concerns is a recognized best practice in software design for maintainability. The other options (A, C, and D) relate more to reliability and security aspects than to maintainability.

Reliability testing is aimed at verifying the software's ability to function under expected conditions for a specified period of time. It is typically conducted during system testing, where the software is tested in its entirety to ensure that all components work together as expected in an environment that closely simulates the production environment. Reliability testing is not typically associated with static testing, component testing, or functional acceptance testing, as these levels of testing do not address the overall behavior of the system over time.

The characteristics listed in the question point towards the need to manage synchronization between processes and make efficient use of limited hardware resources, such as microcontrollers and timeslots. Additionally, the complexity and concurrency of tasks highlight the importance of the software's performance over time. Time-behaviour testing is the most appropriate non-functional test type to perform in this scenario as it focuses on evaluating the timing aspects of the system, such as response times, processing times, and throughput rates. It ensures that the system meets its time-related requirements, which is critical for systems reliant on synchronization and limited by hardware performance constraints.

Maintainability metrics typically used with static analysis include measures that reflect the complexity and understandability of the code, such as Number of Lines of Code (LOC), Number of Function Calls, and Comment Frequency. These metrics help in assessing how easily the software can be understood, modified, and maintained. Mean Time Between Failures (MTBF), on the other hand, is a reliability metric. It measures the time elapsed between inherent failures of a system during operation. MTBF is used to predict the system's reliability and is not directly related to the maintainability of the code. Reliability metrics like MTBF would be used in the testing phase to measure the operational reliability of the system rather than during static analysis for maintainability assessment.

Reliability testing is the process of checking whether the software consistently performs according to its specifications. For a commercial system with a critical internet-based user interface, ensuring that the application can handle connection failures without abnormal terminations is essential. Reliability testing would include testing the system's ability to recover from failures and continue operating, which directly addresses the risk identified.

100% statement coverage means that every line of code is executed at least once during testing. Based on the provided pseudo-code and the test cases given:

Test 1 executes the MIN = B statement when A and B are equal.

Test 2 executes the MIN = A statement and skips the inner IF since B is not equal to 2*A.

All statements within the code have been executed by these two tests, hence no additional test cases are needed to achieve 100% statement coverage.

A Technical Test Analyst during a product risk analysis would consider the complexity of new technology as a generic risk factor. Complex new technology can introduce uncertainties and potential issues that may not be well-understood, which can increase the risk of defects. Frequency of use, visibility of failure, and high change rate of business requirements are also valid considerations, but they are more specific to particular scenarios or aspects of the product rather than the generic technological complexity which is always a concern regardless of the context.