Sökning: "Domain Specific Test Language"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Domain Specific Test Language.

  1. 1. Text- kontra blockbaserad introduktion till programmering

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Joakim Persson; Edvin Nilsson Sommermark; [2023]
    Nyckelord :programming; text-based programming; block-based programming; beginners programming; domain specific language; digital programming; visual programming; programmering; textbaserad programmering; blockbaserad programmering; programmering nybörjare; domänspecifikt språk; digital lekplats; visuell programmering;

    Sammanfattning : Blockbaserade utvecklingsmiljöer blir allt vanligare för att lära ut grunderna i programmering. Metoden har visat sig ha flera fördelar jämfört med textbaserad programmering, som historiskt sett varit den ledande metoden för undervisning. LÄS MER

  2. 2. Automatic Voice Trading Surveillance : Achieving Speech and Named Entity Recognition in Voice Trade Calls Using Language Model Interpolation and Named Entity Abstraction

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Martin Sundberg; Mikael Ohlsson; [2023]
    Nyckelord :Automatic Speech Recognition; Natural Language Model; Named Entity Recognition; Voice Trading; Market Surveillance.;

    Sammanfattning : This master thesis explores the effectiveness of interpolating a larger generic speech recognition model with smaller domain-specific models to enable transcription of domain-specific conversations. The study uses a corpus within the financial domain collected from the web and processed by abstracting named entities such as financial instruments, numbers, as well as names of people and companies. LÄS MER

  3. 3. EDPM : An extension of EDPM - an embedded domain-specific language for performance monitoring C and C++ programs

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :David Bosnjak; [2023]
    Nyckelord :EDPM; Dynamic Nesting; PAPI; LLVM; Libtooling; EDPM; Dynamisk Nestning; PAPI; LLVM; Libtooling;

    Sammanfattning : Background. Performance monitoring of C/C++ programs has often been a tedious and straining process, where insufficient and complex tools/APIs are required. Performance monitoring tools and APIs tend to focus on ease of use or flexibility, but rarely both. LÄS MER

  4. 4. WebLang: A Prototype Modelling Language for Web Applications : A Meta Attack Language based Domain Specific Language for web applications

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Mille af Rolén; Niloofar Rahmani; [2023]
    Nyckelord :Meta Attack Language; Domain Specific Language; OWASP; Attack Simulations; Cyber Attacks; Threat Modelling; OWASP Juice Shop; Broken Access Control; Meta Attack Language; Domän Specifikt Språk; OWASP; Attack Simuleringar; Cyber Attacker; Hotmodellering; OWASP Juice Shop; Broken Access Control;

    Sammanfattning : This project explores how a Meta Attack Language based Domain Specific Language for web applications can be used to threat model web applications in order to evaluate and improve web application security. Organizations and individuals are targeted by cyberattacks every day where malicious actors could gain access to sensitive information. LÄS MER

  5. 5. Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain : Comparing dense embeddings with BM25 for Open Domain Question Answering

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Filip Döringer Kana; [2023]
    Nyckelord :Natural Language Processing; Transformers; Deep Learning; Question Answering; Data Generation; Språkteknologi; Transformers; Djupinlärning; Frågebesvaring; Datagenerering;

    Sammanfattning : Having computer systems capable of answering questions has been a goal within Natural Language Processing research for many years. Machine Learning systems have recently become increasingly proficient at this task with large language models obtaining state-of-the-art performance. LÄS MER