Function point analysis (FPA) is the best methodology to use for estimating the complexity of developing a large business application. FPA is a technique that measures the functionality of a software system based on the user requirements and the business processes that the system supports. FPA assigns a numerical value to each function or feature of the system, based on its type, complexity, and relative size. The total number of function points represents the size and complexity of the system, which can be used to estimate the development effort, cost, and time.
FPA has several advantages over other estimation methods, such as:
* It is independent of the technology, programming language, or development methodology used for the system. Therefore, it can be applied consistently across different platforms and environments.
* It is based on the user perspective and the business value of the system, rather than the technical details or implementation aspects. Therefore, it can be performed early in the project life cycle, before the design or coding phases.
* It is objective and standardized, as it follows a set of rules and guidelines defined by the International Function Point Users Group (IFPUG). Therefore, it can reduce ambiguity and improve accuracy and reliability of the estimates.
* It is adaptable and scalable, as it can handle changes in the user requirements or the system scope.
Therefore, it can support agile and iterative development approaches.
References:
* 1: Function Point Analysis - Introduction and Fundamentals
* 2: Software Engineering | Functional Point (FP) Analysis

The type of review that is most important to conduct when an IS auditor is informed that a recent internal exploitation of a bug has been discovered in a business application is C. Forensic audit. A forensic audit is a type ofaudit that involves collecting, analyzing, and preserving evidence of fraud, corruption, or other illegal or unethical activities1. A forensic audit can help the IS auditor to identify and document the source, scope, and impact of the exploitation, as well as the perpetrators, motives, and methods involved. A forensic audit can also help the IS auditor to provide recommendations for preventing or mitigating future exploitations, and to support any legal actions or investigations that may arise from the incident2.

The answer A is correct because the greatest concern for an IS auditor when a data owner assigns an incorrect classification level to data is that controls to adequately safeguard the data may not be applied. Data classification is the process of categorizing data assets based on their information sensitivity and business impact. Data classification helps organizations to identify, protect, and manage their data according to their value and risk. Data owners are the individuals or entities who have the authority and responsibility to define, classify, and control the access and use of their data.
Data classification typically involves assigning labels or tags to data assets, such as public, internal, confidential, or restricted. These labels indicate the level of protection and handling required for the data.
Based on the data classification, organizations can implement appropriate controls to safeguard the data, such as encryption, access control lists, audit logs, backup policies, etc. These controls help to prevent unauthorized access, disclosure, modification, or loss of data, and to ensure compliance with relevant laws and regulations.
If a data owner assigns an incorrect classification level to data, it can result in either underprotection or overprotection of the data. Underprotection means that the data is classified at a lower level than it should be, which exposes it to higher risks of compromise or breach. For example, if a data owner classifies personal health information (PHI) as public instead of confidential, it may allow anyone to access or share the data without proper authorization or consent. This can violate the privacy rights of the data subjects and the compliance requirements of regulations such as HIPAA (Health Insurance Portability and Accountability Act). Overprotection means that the data is classified at a higher level than it should be, which limits its availability or usability. For example, if a data owner classifies marketing materials as restricted instead of public, it may prevent potential customers or partners from accessing or viewing the data. This can reduce the business value and opportunities of the data.
Therefore, an IS auditor should be concerned about the accuracy and consistency of data classification by data owners, as it affects the security and efficiency of data management. An IS auditor should review the policies and procedures for data classification, verify that the data owners have adequate knowledge and skills to classify their data, and test that the data classification labels match with the actual sensitivity and impact of the data.
References:
* Data Classification: What It Is and How to Implement It
* What Is Data Classification? - Definition, Levels & Examples ...
* Data Classification: A Guide for Data Security Leaders