Most modern software intensive organizations deploy code analysis tools in their development and QA cycle. This is a relatively new phenomenon in the last several years, as code bases have gotten more complex, QA has become more sophisticated and organizations have understood that testing is too expensive and insufficient to prevent errors from getting into live systems. Most code analysis tools in the market today are deployed by individual developers, sometimes with minimal management involvement. Some project managers and architects aggregate the results coming from code analysis tools into team-level dashboards.
CAST code analysis technology is geared towards solving two fundamental problems. The first is that most modern IT systems are comprised of thousands of components, built by multiple teams and dozens of developers. Measuring the software quality across these systems requires careful calibration across multiple technologies, releases and clear identification of application boundaries. The second issue is that the most insidious and dangerous defects come from the interactions between components of a complex system - that cannot be detected by code analysis tools deployed at the individual developer level.
Traditional testing methods cannot effectively identify poor or defective code within a multi-tiered, multiple technology infrastructure. And Code Review practices of reading line by line to verify quality, performance, size, and productivity is not cost effective, nor reliable, nor is it practiced widely enough. This process takes time away from critical business processes, slows down the development process, and results in missed defects capable of generating system wide problems across several application layers.
Unknown defects residing between multiple application layers and architecturally complex violations in a multi-tiered environment cause the most havoc within an infrastructure. These undetected issues average 52% of the efforts required to repair system problems. How much of your IT budget is going to these unidentified issues and how much downtime are they causing for your organization?
Tools capable of classifying business functions as measurable units are capable of finding hard to identify defects within applications. Code analysis tools offer a unique look at the complexity, risk, and quality of each application. This makes it easier for your organization to identify where improvements can be made to boost productivity or performance and identify unknown problems before they bring down your infrastructure or create potential security risks.
The AIP is designed to aid in the identification of software defects or vulnerabilities in order to:
CAST AIP analyzes source code by categorizing each business function into a measurable unit. This allows for faster identification of reduced software quality, system vulnerabilities, and areas where productivity can be improved in a complex, multi-tiered infrastructure.
Highlight is a much lighter code analysis technology, which does not require source code to be collected in one place. Analyzed at the developer's or project manager's desktop, the source code never moves to another location. Highlight then aggregates the resulting size, risk and complexity metrics in one dashboard for a portfolio view.
Most developers use static analyzers plugged into their Visual Studio, Eclipse or other IDE console. Often these are open source tools, such as FindBugs and PMD for Java. CAST AIP aggregates the results of any open source or proprietary set of code analysis tools into its overall management dashboards. This presents a continuous view of structural code quality throughout the development cycle.
Take a look at the insight an automated code analysis tool can generate and get a free demo today!