System Test Automation/Code Coverage
One of the greatest challenges faced by software groups is reducing time to market for new functionality. Most groups have a backlog of new features that are waiting for release. The bottleneck is often the time that it takes to run a full suite of system tests on a candidate release; often days or weeks. Long test times mean that tests are run late in the release cycle after weeks of changes have been integrated, and often identify blocking defects which cause release delays and unhappy customers. VectorCAST/QA allows team members to collaborate on test activities, shorten test times, and provide up to date metrics on release readiness.
Advantages
- System Test Automation
- Parallel Testing
- Web-based Quality Dashboard
- Quality Trend Analysis
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Continuous Testing
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Test Collaboration
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Integrated Code Coverage
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Change-Based Testing
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Change Impact Analysis
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Test Case Maintenance
Highlights of VectorCAST/QA
Continuous Testing
VectorCAST/QA integrates easily with Continuous Integration (CI) Servers such as Jenkins to allow tests to be distributed across a farm of physical or virtual test machines.
Test Collaboration
VectorCAST/QA allows users to easily run all flavors of test without needing to learn new tools or processes. Connectors for each flavor of test are configured once and then leveraged by the entire team.
Integrated Code Coverage
VectorCAST/QA automates the capture and maintenance of code coverage data during testing, which allows users to quickly identify untested portions of the application and determine resources needed to improve testing thoroughness.
Change-Based Testing
Using the data gathered from the build system and from monitoring system test activities, VectorCAST/QA identifies correlations between tests and code. As the code changes, it automatically computes the minimum set of tests required to provide complete testing of the change.
Change Impact Analysis
Change Impact Analysis can be used to identify the impact of a set of source code changes on the quantity of testing required. This provides developers with the ability to make better decisions when implementing their changes.
Test Case Maintenance
Legacy test cases are often poorly documented and seldom evaluated for improvement as the application matures. VectorCAST/QA provides visibility into the parts of the application that each test stimulates, allowing you to gauge the value of each test and identify redundant tests.
How it Works
VectorCAST/QA integrates with your build system and existing test infrastructure to silently collect key metrics such as code complexity, frequency of code changes, test case status, and code coverage data. VectorCAST/QA provides development and QA engineers a single point of control for test activities as well as a wealth of data that can be used to make quality improvement decisions. No changes to your existing workflow or tools are required. As your normal system testing activities take place, a data repository is constructed that becomes an oracle to answer questions such as:
- How much testing has been done?
- What testing remains to be done?
- Are we ready to release?
- Where should I invest more testing effort?
Code Coverage Analysis
Automated Code Coverage Tools Are Necessary
Code Coverage measures the completeness of test activities by analyzing the portions of an application executed by each test case. This coverage data identifies undertested sections of a code base and can be used in combination with other metrics such as code complexity and bug counts to guide quality improvement initiatives.
Downloads
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2018-09-10 Product DescriptionFact Sheet VectorCAST/Ada
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2018-09-10 Product DescriptionFact Sheet VectorCAST/Coupling
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2018-09-10 Product DescriptionFact Sheet VectorCAST/Probe
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2018-09-10 Product DescriptionFact Sheet VectorCAST/CBA
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2018-09-10 Product DescriptionFact Sheet VectorCAST/QA
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2019-10-03 WhitepaperFollowing the ISO 26262-6:2018 Guidelines with VectorCAST
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2018-10-09 WhitepaperBuilding a Flexible and Automated Testing Infrastructure Using VectorCAST/Manage and Jenkins
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2018-09-10 WhitepaperUsing Code Coverage to Improve the Reliability of Embedded Software
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2018-09-10 WhitepaperChange-Based Testing for Efficient Software Development
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2018-09-10 WhitepaperUsing VectorCAST to Satisfy FDA Software Testing Requirements
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2018-09-10 WhitepaperUsing VectorCAST for DO-178B/C Software Verification
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2018-09-10 WhitepaperUsing VectorCAST Requirements Gateway with DOORS®
- 2019-08-22 VectorCAST: Automating Data and Control Coupling
- 2019-07-09 Meeting the Challenges of Large and Complex Multi-Language...
- 2019-06-20 VectorCAST: Using VectorCAST for ISO 26262-6:2018 Testing...
- 2019-05-23 Using VectorCAST/QA to Automate System Testing
- 2019-05-21 Software Verification and Validation for ISO 26262 with...
- 2019-05-21 Verifica e convalida del software per ISO 26262 con VectorCAST
- 2019-05-16 How to Develop a Mixed-critical AUTOSAR Adaptive ECU with Safety...
- 2019-04-25 What's New in VectorCAST 2019
- 2019-02-12 How to find and avoid the vulnerabilities in embedded compilers
News & Events
- 2019-10-24 Webinar: VectorCAST: Software Testing 101 Testing Fundamentals for High...
- 2019-10-29 Webinar: VectorCAST: Wie man Safety-Probleme und Security-Lücken in...
- 2019-10-29 Webinar: VectorCAST: How to avoid Safety Defects and Security...
- 2019-11-21 Webinar: VectorCAST: Myths and truth about test-driven software...
- 2019-12-12 Webinar: VectorCAST: White-box System Testing with VectorCAST/QA
Services
VectorCAST Services
The VectorCAST Services group helps your organization implement industry focused, best practice-based methodologies to improve software quality and productivity. What sets the VectorCAST Services group apart from other professional services groups is the expertise in complex testing environments and the focus on mentoring clients for self-sufficiency while helping them establish repeatable software development and testing processes.
Training
VectorCAST Workshops
Our workshops offer you many opportunities to expand or deepen your knowledge about VectorCAST.
Gain a basic understanding of Unit Testing and Code Coverage concepts and how the VectorCAST test automation platform can be used to implement those concepts.
