Complex IT environments, global infrastructures, vendor supplied applications, and parallel development create an atmosphere in which it is difficult to monitor productivity or ensure software quality. Does your organization struggle with determining if developed applications meet end-user requirements? How productive is your development team or third party vendors? Do you have the necessary information to mitigate risk, keep technical debt minimal, and monitor complexity? These topics are a high priority among organizations today, because they affect several business areas including:
Software metrics are used to measure an application or defined specifications in order to provide objective, repeatable information for making improvements in the above areas. The information gained from the software metrics collection process helps organizations improve scheduling, budget planning, cost estimation, software quality, and risk mitigation as a complex IT infrastructure expands or changes.
A number of solutions have been developed based on defined software metrics to aid companies in managing application development. Traditional testing methods identify flaws and performance issues at the base level, but fail to alleviate vulnerabilities resulting from implementation within a complex, multi-tier infrastructure. This results in unknown risks that cause system failures, PCI compliance issues, and decreased code quality. Software metrics aid in the identification of these issues in a complex infrastructure utilizing multiple technologies. Additionally, software metrics help organizations determine team or vendor productivity regarding the amount of work put into an implementation and if the end product meets end user requirements.
One of the most effective forms of software metrics used today is function point analysis. This particular assessment approach breaks down an application into defined function points based on what business functions are required by the end user. By using this software metrics calculation to assess an application, organizations gain an automated method for determining size, complexity, associated costs, developer productivity, and quality.
CAST Application Intelligence Platform (AIP) is an automated solution that uses function points to measure required user functionality at the code level. The provided score is based on the number of:
This software metrics calculation can be performed over a multi-tier, multiple technology infrastructure to provide objective, repeatable results. An organization can then use these results to create a base for measuring productivity, risk, complexity, and quality as applications are continuously developed or updated. Do you need to gain more from the development process or vendors? Is your organization seeking information about application quality, current technical debt, or desiring to identify unknown vulnerabilities? Contact us today to learn how AIP can help you with these software metrics goals.