Lõputööde teemad (sisestamine)
Valminud lõputööd
(sisestamine)
Alljärgnev loend informeerib Teid võimalikest lõputööde teemadest. Kui olete leidnud sobiva teema, võtke ühendust selle pakkujaga, et välja selgitada antud teemaga seotud eeldusi ja nõudeid. Alles pärast kokkulepet juhendajaga saate valitud teemal kirjutada oma bakalaureuse- või magistritöö.
Aasta:
2024-2025
2023-2024
2022-2023
2021-2022
2020-2021
2019-2020
2018-2019
2017-2018
2016-2017
2015-2016
2014-2015
KÕIK
| Ettevõte | Teema | Periood | Kandideerimise email | ||
|---|---|---|---|---|---|
| Magister, Bakalaureus (5) | |||||
| Software Engineering Analytics | Case Study in Software Testing or Software Analytics (with focus on software quality) | 2024-2025 | dietmar.pfahl@ut.ee | Detailid | |
| Software Engineering Analytics | Automated repairing of software bugs with LLM-agent(s) | 2024-2025 | faiz.ali.shah@ut.ee | Detailid | |
| Software Engineering Analytics | Cracking the Code: Finding the Sweet Spot Between Software Quality Attributes and Energy Efficiency | 2024-2025 | hina.anwar@ut.ee | Detailid | |
| Software Engineering Analytics | A Replication Study of Regression Test Recommender Tool | 2024-2025 | faiz.ali.shah@ut.ee | Detailid | |
| Software Engineering Analytics | Evaluating few-shot learning strategies for extracting feature-sentiment pairs from app reviews | 2024-2025 | faiz.ali.shah@ut.ee | Detailid | |
| Magister (7) | |||||
| Software Engineering Analytica | Implementation of Test Scenarios for ADS in the Carla Simulator | 2024-2025 | dietmar.pfahl@ut.ee | Detailid | |
| Software Engineering Analytics | The Hidden Cost of Software Updates: Measuring the Impact of Feature Changes on Software Energy Consumption | 2024-2025 | hina.anwar@ut.ee | Detailid | |
| Software Engineering Analytics | Leveraging LLMs for Mining User Rationale from User Feedback | 2024-2025 | faiz.ali.shah@ut.ee | Detailid | |
| Software Engineering Analytics | Exploring LLMs for generating synthetic test data | 2024-2025 | faiz.ali.shah@ut.ee | Detailid | |
| Software Engineering Analytics | Solving the Test Oracle Problem: Automatically find Regular Expressions (RegEx) that define applicability constraints for Metamorphic Relations (MRs) | 2024-2025 | dietmar.pfahl@ut.ee | Detailid | |
| Software Engineering Analytics | Code Smarter, Not Harder: Uncovering the Energy Footprint of LLM-Generated Code | 2024-2025 | hina.anwar@ut.ee | Detailid | |
| Software Engineering Analytics | Literature Survey on Testing Scientific Software | 2024-2025 | dietmar.pfahl@ut.ee | Detailid | |