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Examensarbeten och uppsatser / Final Theses

Framläggningar på IDA / Presentations at IDA


Se även framläggningar annonserade hos ISY och ITN i Norrköping / See also presentations announced at ISY and ITN in Norrköping (in Swedish)

If nothing is stated about the presentation language then the presentation is in Swedish.

På grund av rådande distansläge kommer framläggningar våren 2020 ske på distans. Se mer information på sidan om digitala framläggningar (även länk till vänster). Vid krav på lösenord för att komma in till exjobbspresentationen, vänligen kontakta examinator för lösenord (skriv in personens namn i sökfältet uppe till höger och välj "Sök IDA-anställda" i menyn).
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Due to current distance mode thesis presentations during spring of 2020 will take place online. See more information on the page for online presentations (also link in the menu). If password is required to access the online presentation, please contact the examiner (type in the examiner's name in the search bar in the top right, and choose "Sök IDA-anställda" in the menu).

WExUpp - kommande framläggningar
  • 2021-09-29 kl 10:15 i https://liu-se.zoom.us/j/66943595073?pwd=U0FUcVZtSFZKWnZSQmNxRlVZakxLZz09

    Investigating the applicability of execution tracing techniques for root causing randomness-related flaky tests in Python

    Författare: Erik Norrestam Held
    Opponent: Simon Höglund
    Handledare: Azeem Ahmad
    Examinator: Ola Leifler
    Nivå: Avancerad (30hp)

    The aim of this thesis was to investigate the applicability of execution tracing techniques as a means of providing root cause analysis for flaky tests in the randomness and network categories. This involved reproducing and studying flakiness, as well as implementing and evaluating a prototype with the ability to analyze runtime behavior in flaky tests. To gain a better understanding of reproducibility and common traits among flaky tests in the selected categories, a pre-study was conducted. Based on the outcome of the pre-study and findings in related literature, the network category was dropped entirely, and two techniques were chosen to be implemented. The implementation process resulted in the flakypy tool, a plugin for pytest that provides root cause analysis aimed at randomness flakiness. When run against a dataset of 22 flaky tests, the tool was able to identify potential root causes in 15 of these. This serves as an indication that execution tracing has the potential of detecting possible root causes in flaky randomness tests in Python. However, more research is needed to evaluate how developers perceive the usefulness of such tools.



Page responsible: Ola Leifler
Last updated: 2020-06-11