Sökning: "static code analysis tools"

Visar resultat 1 - 5 av 41 uppsatser innehållade orden static code analysis tools.

  1. 1. The impacts of code structure analysis, powered by the language model FastText

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Gabriel Ivarsson; Noah Håkansson; [2023]
    Nyckelord :Code structure; GoLang; language models;

    Sammanfattning : The goal of this study was to investigate how the use of language models in the context of code structure analysis could impact how developers manage code structure. To do this, a prototype tool GOSPLAT (GoLang Static Package Language-model Analysis Tool) was created. LÄS MER

  2. 2. Static Analysis Of Client-Side JavaScript Code To Detect Server-Side Business Logic Vulnerabilities

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

    Författare :Frederick van der Windt; [2023]
    Nyckelord :JavaScript; Static Analysis; Business Logic Vulnerabilities; Client-side; Fuzzing; Black-box; JavaScript; statisk analys; sårbarheter i affärslogiken; klientsidan; Fuzzing; Black-box;

    Sammanfattning : In the real world, web applications are crucial in various domains, from e-commerce to finance and healthcare. However, these applications are not immune to vulnerabilities, particularly in business logic. Detecting such vulnerabilities can be challenging due to the complexity and diversity of application functionality. LÄS MER

  3. 3. On the notions and predictability of Technical Debt

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Varun Dalal; [2023]
    Nyckelord :technincal debt; predictibility; quality assurance; static code analysis tools;

    Sammanfattning : Technical debt (TD) is a by-product of short-term optimisation that results in long-term disadvantages. Because every system gets more complicated while it is evolving, technical debt can emerge naturally. LÄS MER

  4. 4. Cookie Monsters : Using Large Language Models to Measure GDPR Compliance in Cookie Banners Automatically

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Marcus Otterström; Oliver Palonkorpi; [2023]
    Nyckelord :cookie banners; gdpr; compliance; consent; large language models; design science research;

    Sammanfattning : There is a widespread problem of cookie banners not being compliant with the General Data Protection Regulation (GDPR), which negatively impacts user experience and violates personal data rights. To mitigate this issue, strides need to be made in violation detection to assist developers, designers, lawyers, organizations, and authorities in designing and enforcing GDPR-compliant cookie banners. LÄS MER

  5. 5. MLpylint: Automating the Identification of Machine Learning-Specific Code Smells

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Peter Hamfelt; [2023]
    Nyckelord :Code Smell; Machine Learning; Static Code Analysis; Software Quality; Technical Debt;

    Sammanfattning : Background. Machine learning (ML) has rapidly grown in popularity, becoming a vital part of many industries. This swift expansion has brought about new challenges to technical debt, maintainability and the general software quality of ML systems. LÄS MER