Software Composition Analysis: Key Feature of the Analysis

Author : Manish Jha | Published On : 07 Mar 2024

Software composition analysis (SCA) is an automatic procedure that determines the open-source software in a codebase. This analysis is a function to evaluate safety, code quality, and license compliance. In this blog, readers will learn the essential things of this software.

Immediate digitalization and surging dependence on open-source components are predicted to drive the market growth. In addition, according to a research report by Astute Analytica, Asia Pacific Software Composition Analysis Market is likely to increase at a compound annual growth rate (CAGR) of 16.13% over the projection period from 2023 to 2031.

Why is software composition analysis essential?

The speed, security, and dependability that SCA provides make it valuable. Due to the overwhelming volume of open source, manual tracking of source code is no longer adequate. Furthermore, reliable and strong SCA tools are essential because of the growing number of cloud-native and complicated apps.

Organizations require security solutions that can sustain development velocity as a result of the adoption of DevOps practices, which has caused development speeds to soar. That's exactly what automated SCA tools accomplish.

How does an analysis of software composition operate?

Source code, manifest files, container images, binary files, package managers, and more are all inspected by SCA tools. After the detected open source is assembled into a Bill of Materials (BOM), it is cross-referenced with other databases, one of which is the National Vulnerability Database (NVD).

These databases contain details on well-known and widespread vulnerabilities. The U.S. government maintains a database of vulnerabilities called the NVD. Furthermore, SCA tools can also assess general code quality (history of contributions, version control, and so on) by comparing BOMs against other (often commercial) databases to find licenses related to the code.

Solutions for software composition analysis

SCA is a complete solution for handling the risks related to code quality, security, and licensing compliance that come with using open source in apps and containers.

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Important abilities consist of:

KnowledgeBase of Black Duck: The most extensive license, open source, and security information repository in the business, which goes much beyond the typical data seen in free feeds like the NVD.

Multiple-factor authentication: It offers a multipronged scanning method, combining snippet, binary, signature, and dependency scanning to find open source when competitors' single dependency offerings are unable to. Dependencies in source code, binaries, firmware, container images, and AI-generated code fall under this category.

Software Composition Analysis's (SCA) future

Interest in SCA is expected to increase given the increasing popularity of open-source software and the recent disclosure of security lapses and cyberattacks. It's becoming more and more clear how open source is driving the digital transition, and there's not much reason to think that these patterns will reverse very soon.

Companies are adopting open-source software to enhance their competitiveness in the market, but there is an increasing recognition that they also need to manage and reduce the risks associated with this software to govern its use.

Furthermore, organizations won't be able to accomplish this unless they have software composition analysis tools that address the major issues mentioned above.