RH
R. Hijdra
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Measuring up to Stability
Guidelines towards accurate energy consumption measurement results of Rust benchmarks
In Sustainable Software Engineering there is a need for tooling and guidelines for developers. In this research we aim to provide such guidelines. We find that for our experimental setup and set of benchmarks 500 samples gives results that are likely stable at a 1% threshold in their Relative Confidence Interval Width. Running benchmarks with a variable CPU clock-speed can lead to higher variability of measurements; as well as initialising benchmarks with random data. Likewise we investigate the effect of the length of benchmarks on their stability but we can not rule out that this is caused by the experiment setup. Lastly we identify control flow statements and code related to memory accesses as potential large influences of instability.
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In Sustainable Software Engineering there is a need for tooling and guidelines for developers. In this research we aim to provide such guidelines. We find that for our experimental setup and set of benchmarks 500 samples gives results that are likely stable at a 1% threshold in their Relative Confidence Interval Width. Running benchmarks with a variable CPU clock-speed can lead to higher variability of measurements; as well as initialising benchmarks with random data. Likewise we investigate the effect of the length of benchmarks on their stability but we can not rule out that this is caused by the experiment setup. Lastly we identify control flow statements and code related to memory accesses as potential large influences of instability.
Bachelor thesis
(2019)
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Nick Belzer, Buster Bernstein, Jasper Geurtz, Rens Hijdra, Philippe Lammerts, Henk-Jan Wermelink, Christoph Lofi, Otto Visser
Governments require companies to be able to explain where their data is coming from and going to. Our client helps these companies by creating maps of their data landscapes. This is the concept of data lineage. There are various issues that arise in the workflow of figuring out and building data lineage diagrams. Our contributions here are providing a model for what data lineage diagram instances are, and an interactive web application that can be used to visualize and edit these diagrams in an intuitive way. One of the core challenges of this project has been to combine the client's business perspective with our knowledge of computer science. Starting with our research by figuring out the client's use cases, analysing them for their feasibility within the constraints of the project. The team used both Scrum and an agile approach to develop a product that matches the client's expectations and needs throughout the project. The product was tested by adhering to the five metrics defined by the Consortium for IT Software Quality. The final product contains the desired functionality and allows building data lineage diagrams using company data from the client through external APIs. The client is eager to use the product and has provided additional opportunities for the team to work further on the product.
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Governments require companies to be able to explain where their data is coming from and going to. Our client helps these companies by creating maps of their data landscapes. This is the concept of data lineage. There are various issues that arise in the workflow of figuring out and building data lineage diagrams. Our contributions here are providing a model for what data lineage diagram instances are, and an interactive web application that can be used to visualize and edit these diagrams in an intuitive way. One of the core challenges of this project has been to combine the client's business perspective with our knowledge of computer science. Starting with our research by figuring out the client's use cases, analysing them for their feasibility within the constraints of the project. The team used both Scrum and an agile approach to develop a product that matches the client's expectations and needs throughout the project. The product was tested by adhering to the five metrics defined by the Consortium for IT Software Quality. The final product contains the desired functionality and allows building data lineage diagrams using company data from the client through external APIs. The client is eager to use the product and has provided additional opportunities for the team to work further on the product.