Computer software programming tools for Windows, Unix, Linux, C, C++, fortran, ada. automatic code generators fortran development tools static source code analysis software test automation test coverage build management systems programming source code analyzers software development lint debuggers MIL-STD-1750A
Software development powerfully simplified

Cleanscape FortranLint Product Summary

Are you risking your software organization?

Is your software development team spending most of its development resources on testing and debugging? Even then, are you risking the existence of your software development organization by taking too long to ship buggy products?

Cleanscape FortranLint is a static source code analysis tool that reduces your organizational exposure to risks from latent software problems by automatically identifying problems at their source--in the code prior to compiling or executing programs. From its first use, Cleanscape FortranLint can save you hundreds of hours in problem eradification efforts, helping your software development organization to:

  • Shorten the software development cycle
  • Prevent project delays that result from post-compile testing
  • Reduce costs by eliminating problems with cheaper resources earlier in the development process
  • Increase the competitive viability of the software development organization by helping teams produce higher quality products cheaper

Advanced static source code analysis

Cleanscape FortranLint simplifies the debugging and maintenance of Fortran code by rigorously examining source files, almost instantly generating comprehensive user-definable reports on hundreds of problems that are readily accepted by a typical compiler.

Automating source code analysis with Cleanscape FortranLint helps to identify potential problems early in software development, significantly reducing the risks and expenses that grow as problems continue to go undetected. Cleanscape FortranLint provides project managers with coding standards enforcement and statistical quality control measures by detecting noncompliance with codified style standards, by detecting maintenance or portability problems and by computing customized quantitative indicators of code size, complexity, and density.

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