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CAS complex simulations case study

Wyle’s CAS Group reduces development cycles, costs, and experiences significant performance gains...

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Software supply chain series part 1: Three ways to secure your software supply chain

Organizations are really concerned with cyber-attacks, but not all organizations know the best way to address the issue...

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Introduction to continuous integration with Klocwork

Learn how you can use continuous integration within Klocwork to find and fix defects faster.

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From false positives to trust: A story of SCA adoption

Elektrobit is at the heart of embedded, supplying HMI technologies, navigation, electronic control units, and software for over 70 million vehicles and over 1 billion embedded devices.

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Reverse debugging on CodeDynamics with ReplayEngine

Join Rogue Wave senior director of product development, Bill Burns, as he highlights the dynamic analysis and debugging features of CodeDynamics in this video series.

In part 2, you will hear about the reverse debugging capabilities of CodeDynamics with ReplayEngine. ReplayEngine allows you step backwards and forwards in execution history, run backwards to breakpoints, and record files for later analysis. See a brief walk through of this unique feature that enables you to pinpoint and replay run-time issues for faster resolution.

Learn more about additional features of CodeDynamics in part 1 of this series – Introduction to CodeDynamics.
 

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Prototype to production with IMSL Numerical Libraries

In the development of software that requires advanced math, statistics, or analytics, there is often a disconnect early in the development process. This occurs at the transition from algorithm selection and testing to the beginning of coding in the actual compiled language. We refer to this as the prototype to production transition.

To address the disconnect during prototype to production, we are presenting a method to run IMSL Numerical Libraries routines in R or Matlab. The goal is not to replace the algorithm developer’s tool of choice but to run a compiled version of the code in parallel. Pitfalls can be caught early, and data discrepancies can be resolved quickly by running the script version and compiled version side by side.
 

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Deterministically troubleshooting network distributed applications

Debugging is all about understanding what your software is really doing. Computers are unforgiving readers; they never pay attention to what you mean, and always insist on doing what the code says.

Debugging happens naturally when actively developing code and troubleshooting a problem. The same kind of investigation is also a great way to learn about programs that are working just fine. It pays to look closely at what programs are really doing when you re-introduce yourself to code that you wrote a long time ago, or when you try to understand a new bit of code that you encounter for the first time.

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Introduction to CodeDynamics

Join Rogue Wave senior director of product development, Bill Burns, as he highlights the dynamic analysis and debugging features of CodeDynamics in this video series.

In part 1, you will hear an introduction to CodeDynamics.  Learn about the main features of CodeDynamics, and see a brief walk-through of it’s modern, and easy-to-use interface.

Stay tuned for additional videos about CodeDynamics.
 

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Car cybersecurity: What do the automakers really think?

The Ponemon Institute recently conducted a cybersecurity survey sponsored by Rogue Wave Software and Security Innovation of over 500 automotive developers, engineers, and executives, primarily from automotive OEMs and tier one suppliers.

This paper analyzes the survey results, and provided new insights to help automotive software suppliers understand the current mindset of their developers and build security and safety into their software.
 

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Ensuring smooth operations with 24/7 OSS support

Minimizing downtime is crucial in production environments. When something breaks, it can't wait until tomorrow, especially if you're a global leader in IT infrastructure services.

Read this case study to see how a customer that needed to deploy a complex, Apache-based security platform in the morning, used open source technical support at midnight to engineer and implement a solution that kept operations running smoothly.

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