Open Source JSP Source Code Analysis Tools for Linux
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JSP Source Code Analysis Tools for Linux
View 1104 business solutionsBrowse free open source JSP Source Code Analysis Tools for Linux and projects below. Use the toggles on the left to filter open source JSP Source Code Analysis Tools for Linux by OS, license, language, programming language, and project status.
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For minor company expenses, you might utilize a spend management solution or track everything in spreadsheets. For everything more, you'll need Precoro. We help companies achieve procurement excellence and budget efficiency by building transparent, predictable, automated spending workflows.
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Save time, money and your sanity. Deluxe Payment Exchange+ (DPX+) is our integrated payments solution that streamlines and automates your accounts payable (AP) disbursements. DPX+ ensures secure payments and offers suppliers alternate ways to receive funds, including mailed checks, ACH, virtual credit cards, debit cards, or eCheck payments. By simply integrating with your existing accounting software like QuickBooks®, you’ll implement efficient payment solutions for AP with ease—without costly development fees or untimely delays.
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This tool helps you to reverse engineer UML Sequence Diagram for your java program at runtime. It works well with both complex java programs (that have multiple threads) and J2EE applications deployed on Application Servers.
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Scertify - TechDebt Community
Benchmark code quality and measure Technical Debt of projects in Sonar
Scertify™ Refactoring Assessment is an open source component dedicated to development & QA teams that provides exclusive benchmark data on Software Quality. It automatically detects the portions of an application that can be refactored, gives valuable information on refactoring strategies, and costs. Though IT departments have matured these last 10 years and have now no doubt on the benefits of a continuous control of code quality, three major concerns were still remaining, without any tools able to effectively addressing these needs: * How to understand quality indicators, and how to compare them with the state of the art? * How to measure and manage the gap between the absolute quality level of a software, and a reasonable (reachable) target of quality? * What are the shortest and safe ways to achieve your quality goals?
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