Borland Ships Gauntlet Automatic Test Tool

Borland Software adds another piece to its life-cycle quality management tool offering with its shipment of Gauntlet automated build and test software.

Borland Software has announced shipment of Gauntlet automated build and test software, adding another piece to its life-cycle quality management (LQM) tools offering.

Gauntlet continuously tests code as developers check it in. It's designed to detect potential problems early by automatically pre-screening all new code against a set of quality guidelines before it enters the build process, according to Borland statements.

The package institutes quality controls within existing version control processes. These controls, called "gauntlets," enable development teams to identify and isolate problems earlier in the application life cycle—when their impact can be minimized—by automatically inspecting development "artifacts" every time a change is made or at desired intervals.

Gauntlet's "dashboards" include realtime snapshots and time series analysis of metrics, such as build performance, unit or functional test results, code coverage, and project activity.

By making it possible for you to view and measure application health earlier in the life cycle, Gauntlet aims to help development teams gain greater confidence and accountability in their estimates, technical predictions, and risk assessments, while also enabling management to identify at-risk projects early enough in the life cycle to institute changes in scope or resources.

Gauntlet is a component of Borland's LQM solution. The LQM solution combines versions of the Silk application life-cycle management products, which Borland acquired from Segue Software in April, with the Gauntlet continuous build and test product, which it acquired in March with the acquisition of Gauntlet Systems, and its Caliber requirements management tools (see Resources). Not so much a bundle as an ala carte menu of integrated products as well as services and consulting, the idea behind Borland's LQM solution, and Gauntlet, is to let development teams more closely track user requirements through the entire process including QA.

In addition, Gauntlet integrates with leading configuration management products—including Borland StarTeam, CVS, and Subversion.

It supports also a growing number of third-party and open source integrations that enable customers to test for a broad range of potential defects—from code complexity and readability to security vulnerabilities or license compliance, Borland said. Gauntlet also lets you add or create your own custom gauntlets, all of which feed metrics into centralized Gauntlet dashboards.

Among the open source integrations for Gauntlet that are currently available or under development, are Ant, CheckStyle, Emma, Findbugs, JUnit, NUnit, and PMD. Commercial tools integrations include Cenzic Hailstorm for Web application vulnerability assessment, Fortify SCA for source code security analysis, Klocwork K7 for automated software detection and prevention, Lint4J for static Java source code analysis, and Palamida IP Amplifier for software intellectual property compliance scanning and auditing.

About the Author

Stuart J. Johnston has covered technology, especially Microsoft, since February 1988 for InfoWorld, Computerworld, Information Week, and PC World, as well as for Enterprise Developer, XML & Web Services, and .NET magazines.

comments powered by Disqus


  • VS Code Now Has Apple Silicon Builds for Native Mac Development

    Goodbye Rosetta, hello M1. Visual Studio Code has been updated with new builds that let it run natively on machines with Apple Silicon (M1), the company's own ARM64 chips.

  • Visual Studio 2019 for Mac v8.9 Ships with .NET 6 Preview 1 Support

    During its Ignite 2021 online event for IT pros and developers this week, Microsoft shipped Visual Studio 2019 for Mac v8.9, arriving with out-of-the-box support for .NET 6 Preview 1, which the company also released recently.

  • Analyst: TypeScript Now Firmly in Top 10 Echelon (Ruby, Not So Much)

    RedMonk analyst Stephen O'Grady believes TypeScript has achieved the rare feat of firmly ensconcing itself into the top 10 echelon of his ranking, now questioning how high it might go.

  • Black White Wave IMage

    Neural Regression Using PyTorch: Training

    The goal of a regression problem is to predict a single numeric value, for example, predicting the annual revenue of a new restaurant based on variables such as menu prices, number of tables, location and so on.

Upcoming Events