Sökning: "static code analysis tools"
Visar resultat 1 - 5 av 41 uppsatser innehållade orden static code analysis tools.
1. The impacts of code structure analysis, powered by the language model FastText
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : 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. Static Analysis Of Client-Side JavaScript Code To Detect Server-Side Business Logic Vulnerabilities
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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. On the notions and predictability of Technical Debt
Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)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. Cookie Monsters : Using Large Language Models to Measure GDPR Compliance in Cookie Banners Automatically
Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och mediaSammanfattning : 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. MLpylint: Automating the Identification of Machine Learning-Specific Code Smells
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : 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