Sirvi Autor "Dorokhov, Mykhailo, juhendaja" järgi

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An Examination of Challenges and Readiness Among Computer Science Students Pursuing Industry Internships
(Tartu Ülikool, 2025) Jõgi, Kertu; Dorokhov, Mykhailo, juhendaja; Lepp, Marina, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Estonia is internationally recognized for its strong information technology sector and digital leadership. To keep the sector evolving, it is essential to integrate the next generation into the professional workflow. Internships can serve as a link between academic studies and real-world industry, offering students their first practical experience in the field. This bachelor’s thesis investigates the challenges faced by computer science students in securing internship positions and explores how companies evaluate internship candidates. The study is based on data from three data sources: a student questionnaire, a company questionnaire, and an analysis of internship advertisements. The results show that while students often perceive lack of experience as the main barrier, companies place more importance on motivation, communication skills, and basic technical knowledge. The thesis concludes with recommendations for universities on how to better support students in becoming internship-ready.
Leveraging the First Futamura Projection for Large-scale Rule Parallelisation in an Industrial Datalog Engine
(Tartu Ülikool, 2024) Saarnik, Taaniel; Carneiro Alves de Lima, Bruno Rucy, juhendaja; Dorokhov, Mykhailo, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Süsteemi valed konfiguratsioonid võivad põhjustada palju probleeme alates käivitamisest kuni süsteemi töökindluseni. Nende seadistuste õigsuse eest võib vastutada DevOpsi meeskond, aga seda vastutust võib laiendada ka arendajatele. Viimane jaotab töökoormuse paljude inimeste vahel ja õigesti tehes tõstab see produktiivsust tervikuna. Arendajate abistamiseks selle ülesande täitmisel on väga kasu süsteemist, mis leiab valed sätted automaatselt. Üks selline ettevõtte sisemine tööriist kannab nime Neodora, mis kasutab Open Policy Agent-it koodihoidlate (ing repository) ja tõmbekutsete (ing pull request) koodi õigsuse kontrollimiseks. See annab arendajatele kiirema ja lihtsama viisi vigade avastamiseks ja parandamiseks. Kuigi Neodora täidab oma eesmärki edukalt, selle jõudlust saaks ikkagi suurendada. Neodora töötab suurepäraselt üksikute koodihoidlate ja tõmbetaotluste puhul, kuid raskusi tekitab Bulk-Neodora teostus. Bulk-Neodora on mõeldud igapäevaseks ettevõtte koodihoidlate skaneerimiseks. Seda tehakse käivitades Neodorat iga koodihoidla peal. Mõned Neodora reeglid teevad aga HTTP-päringuid, mis on samad olenemata sellest, millist koodihoidlat skaneeritakse. Esitleme Neodora uut versiooni, mis kõrvaldab selle nõrga koha, vähendades Bulk-Neodora tööaega märkimisväärselt. See saavutati Futamura esimese projektsiooni ja paralleelsuse kasutamisega. Lisaks asendati kettatoimingud (ing discoperations) kiiremate mälusiseste (ing in-memory) toimingutega. Muudatused Neodoras vähendasid Bulk-Neodora tööaega peaaegu viisteist korda.
Measuring the Impact of Developer Experience Improvements on Engagement in Pipedrive
(Tartu Ülikool, 2025) Laats, Henri; Pfahl, Dietmar Alfred Paul Kurt, juhendaja; Dorokhov, Mykhailo, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Pipedrive is a customer relationship management (CRM) software company where a significant portion of the workforce consists of developers. Understanding how changes in developer experience (DX) affect overall employee engagement is key to allocating resources effectively. In this context, employee engagement refers to how motivated and enthusiastic employees are about their work and their organization, reflecting their commitment to stay and go the extra mile. Engaged employees care about performing well and contributing to the company's success, which can lead to growth and increased revenue. Pipedrive tracks overall employee sentiment through company-wide engagement surveys and collects additional feedback from developers through DX surveys. However, the relationship between improvements in DX and overall employee engagement has not been analyzed, leaving it unclear whether a better developer experience also boosts employee engagement. The aim of this thesis is to analyze data from previous surveys to understand the relationships between areas in developer experience and overall employee engagement. The thesis will also explore which aspects of DX most influence engagement scores. Various statistical methods such as correlation, regression and trend analysis are used to identify these key relationships. The findings provide insight into whether improving developer experience can influence engagement positively and describe how to identify areas for potential DX improvements that would have the biggest impact on engagement.