Definition

Continuous testing (CT) is a software development process in which applications are tested continuously throughout the entire software development life cycle (SDLC). The goal of CT is to evaluate software quality across the SDLC, providing critical feedback earlier and enabling higher-quality and faster deliveries.

Why is continuous testing needed?

There are many commercial solutions and tools that detect and remediate common injections at the static code level. However, many development teams face a shortage of skilled resources who can consistently track and sort critical vulnerabilities, particularly those that are triggered only in runtime environments.​ Many organizations track these vulnerabilities manually, but this can create significant bottlenecks and inefficiencies in their efforts to incorporate security testing within development workflows.

Continuous testing helps track testing for application, microservice, and API security vulnerabilities or logic flaws by working with existing CI tools to detect issues early, mitigating costly time and effort downstream.

With many organizations adopting DevOps and DevSecOps, embracing automation is a large part of enabling efficiency and speed. In modern AppSec, continuous testing is one of these key practices. 


How does continuous testing work within DevOps/DevSecOps?

In the increasingly fast development environment, software release cycles are shortening, pushing organizations to adjust their practices in order to keep up. DevOps practices and tools are essential to this success, and continuous testing plays an important role.

CT helps boost the DevOps pipeline because it fosters testing at all stages of the SDLC, from development to deployment. At the center of DevOps and DevSecOps is the idea of performing activities (like security testing) as soon as possible, speeding up all development activities. Incorporating continuous testing into this framework helps guarantee that development moves forward unhindered, and software of the highest quality is released. 


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  • Integrate and automate AST tools in the SDLC
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  • Invest in security training for developers
  • Leverage platform-based AST that evolves with your business

What are the benefits of continuous testing?

Continuous testing offers many benefits. At a higher level, it removes the roadblocks that can happen when performing testing in a single step. With continuous testing, code is automatically tested as soon as it is integrated. This directly supports DevOps and the goal of delivering high-quality software, faster.

Additionally, CT helps save developer time and effort because they no longer have to wait for QA teams to finish testing before fixing their code. Instead, testing happens continuously, enabling real-time proactive fixes to code quality and security issues. Multiple activities can occur simultaneously.

A more overarching benefit of CT is that it reduces risk. With CT, software is checked many more times and in many more ways throughout its entire life cycle, instead of once during a specific phase of the SDLC. This enables more visibility into and more opportunities to discover areas of weakness.


Continuous Testing | Black Duck

How can Black Duck help?

Black Duck provides solutions that help organizations manage application security, quality, and compliance risks effectively. With Black Duck, organizations can transform the way they build and deliver software, aligning people, processes, and technology to intelligently address software risks across their portfolio and at all stages of the application lifecycle.

Code Build Test Operate
Software development begins, which includes designing the system in an IDE, writing and reviewing the code for errors. During the building phase, the team takes the requirements documented during the planning phase to build the software. The software is assessed by the testing team to determine whether it meets the necessary requirements. Software is deployed and monitored in the production environment.
Developer tool plugins
Secure code as quickly as developers or AI can write it. Put risk insight, fix guidance, and secure coding training in developer tools without changing their workflows. Learn more
Static application security testing (SAST)
Find security and quality issues in source code written by developers or AI tools. Optimize app performance and support compliance (e.g., OWASP, MISRA). Learn more
Interactive application security testing (IAST)
Leverage existing preproduction tests to gain insight into issues that manifest in running web applications. Automatically validate findings to prioritize true security risks. Learn more
Continuous dynamic application security testing (DAST)
Ensure continuous security testing of web apps in production, without diminishing live performance. Accelerate triage and find true risks with AI-enabled verification. Learn more
Software composition analysis (SCA)
Automatically detect open source and third-party components introduced by developers or AI tools. Identify security and license risks in any application or container, and support supply chain requirements with detailed Software Bills of Materials (SBOMs). Learn more
Real-time threat alerts
Get real-time alerts about newly published vulnerabilities that affect previously analyzed applications or containers. Fix faster with guidance from security researchers. Learn more
Unified security testing platform
Scale DevSecOps programs atop a SaaS-based AppSec platform. Perform SAST, SCA, and DAST testing, enforce risk tolerance policies, and centralize visibility across the enterprise. Establish end-to-end security automation with integrations for developers and DevOps teams. Learn more

Explore how to build security into DevOps