Thesis: Can AI Agents Replace the Tester? Comparing LLM Browser Agents and Scripted End-to-End Tests (AI Testing)
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
Sweden
aillmqa automationcypressplaywrightsoftware testingbrowser automationend to end testing
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Тема хорошо проработана: есть конкретные эксперименты и измеримые результаты в развивающейся области AI-тестирования. При этом работа только в офисе, а требования к сроку выпуска и языкам заметно сужают круг участников.
Жёсткие требования
Современные технологии
Понятный план работы
?Только офис
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Текст:
Hirify AI/Оригинал
TL;DR
Thesis: Can AI Agents Replace the Tester? Comparing LLM Browser Agents and Scripted End-to-End Tests (AI Testing): Comparing AI-driven browser-agent exploration with scripted end-to-end testing on open-source web applications containing controlled faults, with an accent on bug detection, reliability, maintainability, and testing cost. Focus on building browser-connected LLM agents, injecting and categorizing 30–50 realistic bugs, comparing multiple exploration strategies and models, and measuring false alarms, reproducibility, resilience to UI changes, and total cost.
Location: Onsite at the hirify.global office in Sundsvall, Sweden. Start date: January or March 2027.
Company
hirify.global is a strategic partner in product and digital service development, formed through the combination of Semcon and Knightec.
What you will do
Set up one or two open-source web applications as test subjects, preferably in a regulated domain.
Build and compare scripted end-to-end tests with LLM-based agents that navigate, click, type, and read a real web browser.
Create and inject a controlled catalogue of 30–50 realistic faults covering functional logic, input validation, authorization, data integrity, and UI/usability.
Evaluate scripted baseline, free exploration, persona-driven exploration, and specification-guided exploration.
Compare at least two LLMs, including a larger capable model and a smaller cheaper model.
Measure bug detection, false alarms, reproducibility, resilience to UI changes, maintenance effort, and total cost over time.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Graduation in June 2027.
Fluency in Swedish, both written and spoken.
Fluency in English, both written and spoken.
Culture & Benefits
Hands-on thesis work with real projects in a supportive and innovative environment.
Opportunity to develop practical skills in AI-driven testing, browser automation, and software quality evaluation.
Thesis placement at the Sundsvall office with a start in January or March 2027.
Hiring process
Submit the application through the careers page; applications are accepted until 2026-11-30.
Applications are not accepted by email due to GDPR requirements.
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