Software Measurement: Benchmarking for Continuous Improvement

Do you find development planning or improvement efforts to be less effective than expected? Are unexpected problems surfacing after release or during development? How many infrastructure problems are directly related to code quality or undetected risks? Software measurement is an engineering process meant to aid in assessing these areas:

  • Productivity
  • Code Quality
  • Code Complexity
  • Software Risk
  • Technical Debt
  • Software Size
  • Compliance to Standards and Regulations


If your developers are not producing high-quality code or not meeting architecture standards, then numerous problems are likely to surface during or after application implementation. These include increased IT costs, additional maintenance efforts, and reduced security within a complex infrastructure. Software measurement and metrics provide an accurate, objective approach to evaluating these key factors. By having objective metrics, you can more easily identify improvement areas and monitor each effort made toward better development practices.

What Are Software Measurement Function Points?

Several forms of analysis may be used to assess an application; however, software measurement function points provide a repeatable evaluation method. A function point represents a defined business task to be accomplished by an application. They are based on identified end user requirements and allow organizations to obtain a benchmarking score for continuously monitoring the above items. Each application must accomplish a set number of business functions, which can be automatically evaluated to aid in achieving:

  • Vulnerability Detection
  • Quality Assessments
  • Productivity Enhancements
  • Compliance Management
  • Development Practice Improvements

Additionally, software measurement function points offer insight for locating difficult to find vulnerabilities in a complex infrastructure where problems often exist in one or more tiers. The provided benchmarking measurement can also be used to ensure developers and outside providers are meeting defined architecture standards for each completed application. If your organization is not using software measurement to track and monitor these items, then various infrastructure problems might be a direct result of source code inefficiencies.

Why Use CAST for the Software Measurement Process?

CAST Application Intelligence Platform (AIP) is an automated solution for completing the software measurement process. It is an enterprise-driven option capable of assessing multiple languages within a complex infrastructure. Regardless of the utilized technologies, AIP is able to break down an application at the source-code level to assess quality, security, productivity, and additional factors based on the number of business functions it is supposed to accomplish. It is a management solution to make certain projects remain within scope and to obtain desired code quality levels.

An automated software measurement process ensures delivered results are accurate, objective, and repeatable. The base score functions as a continuous measurement for monitoring every aspect of a project. If your organization has been struggling with mitigating risk, improving code quality, decreasing technical debt, or receiving the desired amount of productivity, then CAST AIP can aid in the software measurement process, ensuring your organization is working more effectively throughout the development life cycle.

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