Testing Intermittent Battery-free Systems

Existing tools for debugging battery-free applications are limited to specific architectures or require code changes of the Device Under Test (DUT) to function. These tools also cannot measure the efficiency of the application designed for battery-free systems. Currently, there is a lack of independent broad comparisons of intermittent systems....

Debugging Intermittently-Powered Embedded Systems Like Any Other Embedded System

Debugging and testing battery-free intermittently-powered systems is notoriously difficult. This is not only due to the additional complexity of maintaining state through power failures but also due to the lack of proper tools to test and debug these systems. As a solution, we present DIPS: a fully-featured hardware debugger for battery-free...

Debugging Machine Learning on Time-series Data

Machine learning models are so-called a "black box," which means people can not easily observe the relationship between the output and input or explain the reason for such results. In recent years, much work has been done on interpretable machine-learning, such as Shapley values, counterfactual explanations, partial dependence plots, or saliency...

Enabling Log Recommendation Through Machine Learning on Source Code

Logging is a common practice in software development that assists developers with the maintenance of software. Logging a system optimally is a challenging task, thus Li et al. have proposed a state-of-the-art log recommendation model. However, no further attempts exist to improve the model or reproduce their results using different training data...

Scriptable Debugging - A Reactive Approach

Debuggers are crucial tools for developers to support the process of developing software systems as they provide direct insights into the execution of their code. As software development in the industry is moving towards technology stacks that operate on increasingly higher levels of abstraction, debugging tools have not evolved as quickly. This...

Debugging Data-Flows in Reactive Programs

Reactive Programming is a way of programming designed to provide developers with the right abstractions for creating systems that use streams of data. Traditional debug tools lack support for the abstractions provided, causing developers to fallback to the most rudimentary debug tool available: printf-debugging. In this work, we design a...

Modelling and Analysis of Execution Traces from Real-time Applications

The need for increased computing capability and more diverse hardware with its evermore complex topologies continues to grow. The use of multicore processors, which is quite established in the desktop computers, is gaining importance in the embedded systems for industrial applications. Because of the complexity of the environment and the special...

Visualize local neighborhood for supporting debugging

Developing software is complex, debugging even more. In this thesis an approach is presented to reduce the debugger’s burden by introducing visual support for debugging. This is accomplished by using multiple supporting debugging concepts which are implemented in the tool: the Visual Debugger. The Visual Debugger supports debugging by...